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diff --git a/author/abhinav-goel/index.html b/author/abhinav-goel/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/abhinav-goel/avatar_hu7cb3952ac4aea844af4496465caa46b2_33096_270x270_fill_q75_lanczos_center.jpg alt="Abhinav Goel"><div class=portrait-title><h2>Abhinav Goel</h2><h3>Ph.D Student at NVIDIA</h3><h3><a href=https://www.nvidia.com/en-us/ target=_blank rel=noopener><span>NVIDIA</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/abhinavgoel95/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/abhinav-goel/index.xml b/author/abhinav-goel/index.xml
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diff --git a/author/achille-brighton/index.html b/author/achille-brighton/index.html
index 60dc4a6..a91efd6 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Achille Brighton</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Aditya Chakraborty</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/chakraborty-real-time-2020/>A Real-Time Feature Indexing System on Live Video Streams</a></li><li><a href=/publication/ghodgaonkar-observing-2020/>Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/adrienne-decker/index.html b/author/adrienne-decker/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Alejandro Wainselboim</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/dematties-computational-2020/>A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics</a></li><li><a href=/publication/dematties-towards-2020/>Towards High-End Scalability on Biologically-Inspired Computational ModelsAuthors</a></li><li><a href=/publication/dematties-phonetic-2019/>Phonetic Acquisition in Cortical Dynamics, a Computational Approach</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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index ca2b011..46cc861 100644
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index 2bfeb85..42ddc3c 100644
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diff --git a/author/alexander-kondratyev/index.html b/author/alexander-kondratyev/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Alexander Kondratyev</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/alexander-rose/index.html b/author/alexander-rose/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/alexander-rose/avatar_hubcd3a6817aada493d6869c88f28c565c_9817_270x270_fill_q75_lanczos_center.jpg alt="Alexander Rose"><div class=portrait-title><h2>Alexander Rose</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/alexander-c-rose/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/alexandra-crane/index.html b/author/alexandra-crane/index.html
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diff --git a/author/allan-miller/index.html b/author/allan-miller/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/amol-sayala/avatar_huac5281182c44c4c27227286f3092a909_192824_270x270_fill_q75_lanczos_center.jpg alt="Amol Sayala"><div class=portrait-title><h2>Amol Sayala</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Amy Reibman</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/kaseb-analyzing-2018-1/>Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud</a></li><li><a href=/publication/kaseb-analyzing-2018/>Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/amy-wang/index.html b/author/amy-wang/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Amy Wang</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/goel-tree-based-2022/>Tree-based Unidirectional Neural Networks for Low-Power Computer Vision</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Andrew Johnson</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/lewis-distributed-2017/>A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/andrew-lake/index.html b/author/andrew-lake/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/andrew-lake/avatar_huac5281182c44c4c27227286f3092a909_192824_270x270_fill_q75_lanczos_center.jpg alt="Andrew Lake"><div class=portrait-title><h2>Andrew Lake</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Andrew Liu</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/dailey-automated-2021/>Automated Discovery of Network Cameras inHeterogeneous Web Pages</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/andy-terrel/index.html b/author/andy-terrel/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Ani Vegesana</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/banna-experience-2021/>An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/aniesh-chawla/index.html b/author/aniesh-chawla/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Aniesh Chawla</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/dailey-automated-2021/>Automated Discovery of Network Cameras inHeterogeneous Web Pages</a></li><li><a href=/publication/surakitbanharn-cross-referencing-2018/>Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/anirudh-vegesana/index.html b/author/anirudh-vegesana/index.html
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diff --git a/author/anup-mohan/index.html b/author/anup-mohan/index.html
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diff --git a/author/areej-imran/index.html b/author/areej-imran/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/areej-imran/avatar_hu7433e73b797da5e85d41c8e93bf266c2_407785_270x270_fill_q75_lanczos_center.jpg alt="Areej Imran"><div class=portrait-title><h2>Areej Imran</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/areejimran target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/areej-imran-791b4a22a target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Arfon Smith</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/austin-pinderski/avatar_hu877f65fadcf2c3cc93467a7375451d97_20576_270x270_fill_q75_lanczos_center.jpg alt="Austin Pinderski"><div class=portrait-title><h2>Austin Pinderski</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/austin-pinderski/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>B. Silvano Zanutto</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/dematties-computational-2020/>A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics</a></li><li><a href=/publication/dematties-towards-2020/>Towards High-End Scalability on Biologically-Inspired Computational ModelsAuthors</a></li><li><a href=/publication/dematties-phonetic-2019/>Phonetic Acquisition in Cortical Dynamics, a Computational Approach</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Bo Chen</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/thiruvathukal-low-power-2022/>Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence</a></li><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/bo-fu/index.html b/author/bo-fu/index.html
index d91c6bc..28f4888 100644
--- a/author/bo-fu/index.html
+++ b/author/bo-fu/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Bo Fu</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/kaseb-analyzing-2018-1/>Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li><li><a href=/publication/kaseb-analyzing-2018/>Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/brianna-chou/index.html b/author/brianna-chou/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/brianna-chou/avatar_hu39b64580c9abbbe86a1bc7540bc6483e_283097_270x270_fill_q75_lanczos_center.jpg alt="Brianna Chou"><div class=portrait-title><h2>Brianna Chou</h2><h3>Systems Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/BriannaChou target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/briannachou/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/brook-abegaz/index.html b/author/brook-abegaz/index.html
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diff --git a/author/calvin-yau/index.html b/author/calvin-yau/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Calvin Yau</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/surakitbanharn-cross-referencing-2018/>Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/cameron-christensen/index.html b/author/cameron-christensen/index.html
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diff --git a/author/chen-feng/index.html b/author/chen-feng/index.html
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diff --git a/author/d.-malik/index.html b/author/d.-malik/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>D. Malik</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/lu-see-2019/>See the World Through Network Cameras</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/d.-merrick/index.html b/author/d.-merrick/index.html
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diff --git a/author/daniel-moreira/index.html b/author/daniel-moreira/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/daniel-moreira/avatar_hu68d78b4652b5b0a2460f17a5e29f4ec8_424004_270x270_fill_q75_lanczos_center.jpg alt="Daniel Moreira"><div class=portrait-title><h2>Daniel Moreira</h2><h3>Faculty Advisors</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/danielmoreira target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/dhmoreira/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li><li><a href=http://danielmoreira.github.io/ target=_blank rel=noopener aria-label=envelope><i class="fas fa-envelope big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/daniel-palacios/index.html b/author/daniel-palacios/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/daniel-palacios/avatar_hua17e5100f17913768ed8ce8645fe9db3_25546_270x270_fill_q75_lanczos_center.jpg alt="Daniel Palacios"><div class=portrait-title><h2>Daniel Palacios</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/dpalacios2/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/daniel-s.-katz/index.html b/author/daniel-s.-katz/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Daniel S. Katz</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/dario-dematties/index.html b/author/dario-dematties/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/dario-dematties/avatar_hu3d787403bd99a841d28646759bbe3f14_75793_270x270_fill_q75_lanczos_center.jpg alt="Dario Dematties"><div class=portrait-title><h2>Dario Dematties</h2><h3>Faculty of Engineering at Northwestern Argonne Insitute of Science and Engineering</h3><h3><a href=https://naise.northwestern.edu/ target=_blank rel=noopener><span>Northwestern Argonne Insitute of Science and Engineering</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href="https://www.linkedin.com/in/dario-dematties-aa034463/?locale=en_US" target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/david-b.-dennis/index.html b/author/david-b.-dennis/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>David B. Dennis</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/dennis-computer-2017/>Computer Science and Cultural History: A Dialogue</a></li><li><a href=/publication/laufer-moving-2011/>Moving Academic Department Functions to Social Networks and Clouds: Initial Experiences</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/david-b.-wetzel/avatar_hue88c3f4a14a67c338e42eaf063b5b1d5_6222_270x270_fill_q75_lanczos_center.jpg alt="David B. Wetzel"><div class=portrait-title><h2>David B. Wetzel</h2><h3>Faculty Advisors</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>David Ebert</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/surakitbanharn-cross-referencing-2018/>Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>David Svitov</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Deeptanshu Malik</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/denis-repin/index.html b/author/denis-repin/index.html
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diff --git a/author/donghyun-kang/index.html b/author/donghyun-kang/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Doree D. Seligmann</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/milojicic-innovation-2012/>Innovation Mashups: Academic Rigor Meets Social Networking Buzz</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/elizabeth-ramirez/index.html b/author/elizabeth-ramirez/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Elizabeth Ramirez</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/emmanual-amobi/index.html b/author/emmanual-amobi/index.html
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diff --git a/author/emmanuel-s.-amobi/index.html b/author/emmanuel-s.-amobi/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Emmanuel S. Amobi</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/tung-irrelevant-2022/>Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/eric-chan-tin/index.html b/author/eric-chan-tin/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/eric-chan-tin/avatar_hu8101b46c81a8eb965cae282152c40634_1425752_270x270_fill_q75_lanczos_center.jpg alt="Eric Chan-Tin"><div class=portrait-title><h2>Eric Chan-Tin</h2><h3>Associate Professor of Computer Science at Loyola University Chicago</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/chantin-luc target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/eric-chan-tin target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li><li><a href=https://chantin.cs.luc.edu target=_blank rel=noopener aria-label=envelope><i class="fas fa-envelope big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/erik-c.-pautsch/index.html b/author/erik-c.-pautsch/index.html
index ea7d92f..b1f9dba 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/erik-c.-pautsch/avatar_hua0c2b169da85f3e5c77b95d4eb43d4cc_100807_270x270_fill_q75_lanczos_center.jpg alt="Erik C. Pautsch"><div class=portrait-title><h2>Erik C. Pautsch</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/epautsch target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/erik-pautsch-07664a118/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li><li><a href=https://www.erikpautsch.com target=_blank rel=noopener aria-label=envelope><i class="fas fa-envelope big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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\ No newline at end of file
diff --git a/author/ethan-stoneman/index.html b/author/ethan-stoneman/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/ethan-stoneman/avatar_hu60672286f1e3ba6c62b04d9c57759b13_31149_270x270_fill_q75_lanczos_center.jpg alt="Ethan Stoneman"><div class=portrait-title><h2>Ethan Stoneman</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/ethan-stoneman/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Eunbyung Park</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/florence-m.-chee/index.html b/author/florence-m.-chee/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/florence-m.-chee/avatar_hue9fc78aa17317b6fa3aa18ad316725fd_159393_270x270_fill_q75_lanczos_center.jpg alt="Florence M. Chee"><div class=portrait-title><h2>Florence M. Chee</h2><h3>Associate Professor and Director of Center for Digital Ethics and Policy; Director of SIMLab at Loyola University of Chicago</h3><h3><a href=https://www.luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/cheeflo/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Francis Sullivan</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/sullivan-former-2018/>Former CiSE EICs Reflect on the Magazines 20th Anniversary</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>George K Thiruvathukal</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/tung-why-2022-1/>Why Accuracy Is Not Enough: The Need for Consistency in Object Detection</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/george-k.-thiruvathukal/index.html b/author/george-k.-thiruvathukal/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/george-k.-thiruvathukal/avatar_hud514be568a06313ee5045936e8b882cd_1374921_270x270_fill_q75_lanczos_center.jpg alt="George K. Thiruvathukal"><div class=portrait-title><h2>George K. Thiruvathukal</h2><h3>Director</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/gkthiruvathukal target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/gkthiruvathukal/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li><li><a href=https://gkt.sh target=_blank rel=noopener aria-label=envelope><i class="fas fa-envelope big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/gore-kao/index.html b/author/gore-kao/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Gore Kao</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/hu-crowdsourcing-2020/>Crowdsourcing Detection of Sampling Biases in Image Datasets</a></li><li><a href=/publication/ghodgaonkar-observing-2020/>Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Gregory J. Matthews</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/matthews-shape-based-2021/>Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology</a></li><li><a href=/publication/brophy-analysis-2019/>An Analysis of the Effect of Tooth Wear on Bovid Identification</a></li><li><a href=/publication/matthews-comparison-2018/>A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae</a></li><li><a href=/publication/matthews-examining-2017/>Examining the Use of Amazon's Mechanical Turk for Edge Extraction of the Occlusal Surface of Fossilized Bovid Teeth.</a></li><li><a href=/publication/brophy-quantitative-2015/>Quantitative Morphological Analysis of Bovid Teeth Using Elliptical Fourier Function Analyses</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/gregory-matthews/avatar_hud8fe0840dbcc1ce18306caedb098a53f_5303880_270x270_fill_q75_lanczos_center.jpg alt="Gregory Matthews"><div class=portrait-title><h2>Gregory Matthews</h2><h3>Associate Professor, Director for Data Science at Loyola University Chicago</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/gregory-matthews-ph-d-0653ab6/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/guizhen-wang/index.html b/author/guizhen-wang/index.html
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--- a/author/guizhen-wang/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Guizhen Wang</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/surakitbanharn-cross-referencing-2018/>Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/haobo-wang/index.html b/author/haobo-wang/index.html
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diff --git a/author/hong-hanh-nguyen/index.html b/author/hong-hanh-nguyen/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Hongie Gu</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/matthews-comparison-2018/>A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/isaac-ahlgren/index.html b/author/isaac-ahlgren/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/isaac-ahlgren/avatar_hu00fecd27c37a5a6f1aea0fa38c75311c_41348_270x270_fill_q75_lanczos_center.jpg alt="Isaac Ahlgren"><div class=portrait-title><h2>Isaac Ahlgren</h2><h3>Systems Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/isaac-ahlgren target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/isaac-ahlgren123/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/isha-ghodgaonkar/index.html b/author/isha-ghodgaonkar/index.html
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diff --git a/author/jack-narowski/index.html b/author/jack-narowski/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/jack-narowski/avatar_hu242945a7cb052ff78ccb3a858bdc0eb3_26165_270x270_fill_q75_lanczos_center.jpg alt="Jack Narowski"><div class=portrait-title><h2>Jack Narowski</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/JackNarowski target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/jack-poulson/index.html b/author/jack-poulson/index.html
index e3d73ea..a064753 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jack Poulson</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/jack-west/index.html b/author/jack-west/index.html
index a89e5c7..3af339a 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/jack-west/avatar_hu87d4137544080e9873d8594fa1840658_54632_270x270_fill_q75_lanczos_center.jpg alt="Jack West"><div class=portrait-title><h2>Jack West</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jack-west-0b03a2121/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/jaeyoun-kim/index.html b/author/jaeyoun-kim/index.html
index e40b1f8..79349b7 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jaeyoun Kim</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/thiruvathukal-low-power-2022/>Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence</a></li><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/jakob-veselsky/index.html b/author/jakob-veselsky/index.html
index 20f92b0..37a37b7 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jakob Veselsky</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/veselsky-establishing-2022-1/>Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach</a></li><li><a href=/publication/veselsky-establishing-2022/>Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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index 2894cb3..0774563 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/jakob-veslsky/avatar_hu4e17cd83fbf26c9da8ff5259798d9680_35674_270x270_fill_q75_lanczos_center.jpg alt="Jakob Veslsky"><div class=portrait-title><h2>Jakob Veslsky</h2><h3>Systems Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jakob-veselsky/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/james-c.-davis/index.html b/author/james-c.-davis/index.html
index 9e36694..8b9ac90 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>James C. Davis</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/jiang-empirical-2022/>An Empirical Study of Artifacts and Security Risks in the Pre-Trained Model Supply Chain</a></li><li><a href=/publication/goel-directed-2022/>Directed Acyclic Graph-Based Neural Networks for Tunable Low-Power Computer Vision</a></li><li><a href=/publication/goel-efficient-2022/>Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks</a></li><li><a href=/publication/veselsky-establishing-2022-1/>Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach</a></li><li><a href=/publication/veselsky-establishing-2022/>Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach</a></li><li><a href=/publication/goel-tree-based-2022/>Tree-based Unidirectional Neural Networks for Low-Power Computer Vision</a></li><li><a href=/publication/banna-experience-2021/>An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/james-davis/index.html b/author/james-davis/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/james-davis/avatar_hu9472edc5535f42cbf8e27550733f9072_62921_270x270_fill_q75_lanczos_center.jpg alt="James Davis"><div class=portrait-title><h2>James Davis</h2><h3>Assistant Professor of Electrical and Computer Engineering at Purdue University</h3><h3><a href=https://purdue.edu target=_blank rel=noopener><span>Purdue University</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/davisjam target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/davisjam/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li><li><a href=https://davisjam.github.io/ target=_blank rel=noopener aria-label=envelope><i class="fas fa-envelope big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/jamie-payton/index.html b/author/jamie-payton/index.html
index 5e8ff07..86110a5 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jamie Payton</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/barnes-best-2016/>Best of RESPECT, Part 2</a></li><li><a href=/publication/decker-research-2016/>Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) RESPECT 2016</a></li><li><a href=/publication/barnes-proceedings-2015/>Proceedings of 2015 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) RESPECT 2015</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/jason-clark/index.html b/author/jason-clark/index.html
index b5e958b..1171e8d 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jason Clark</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/jean-luc-putter/index.html b/author/jean-luc-putter/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jed Brown</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/jeff-forbes/index.html b/author/jeff-forbes/index.html
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--- a/author/jeff-forbes/index.html
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@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jeff Forbes</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/barnes-proceedings-2015/>Proceedings of 2015 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) RESPECT 2015</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jeffrey C. Carver</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/eisty-use-2019/>Use of Software Process in Research Software Development: A Survey</a></li><li><a href=/publication/eisty-survey-2018/>A Survey of Software Metric Use in Research Software Development</a></li><li><a href=/publication/carver-collaborative-2016/>Collaborative Research: Making Software Engineering Work for Computational Science & Engineering: An Integrated Approach</a></li><li><a href=/publication/carver-software-2013/>Software Engineering Need not be Difficult</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/jeffrey-carver/index.html b/author/jeffrey-carver/index.html
index 7795471..d228778 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/jeffrey-carver/avatar_hu419b44e0d0a458586c6523e766189047_80101_270x270_fill_q75_lanczos_center.jpg alt="Jeffrey Carver"><div class=portrait-title><h2>Jeffrey Carver</h2><h3>Professor of Computer Science at the University of Alabama</h3><h3><a href=https://www.ua.edu/ target=_blank rel=noopener><span>University of Alabama</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jeff-carver/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jingchi Zhang</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Joe P. Kaylor</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/kaylor-simplifying-2012/>Simplifying Domain Modeling and Memory Management in User-Mode Filesystems with the NOFS Framework</a></li><li><a href=/publication/kaylor-restfs-2011-1/>RestFS: Resources are Filesystems, too</a></li><li><a href=/publication/thiruvathukal-virtualization-2010/>Virtualization for Computational Scientists</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/john-osullivan/index.html b/author/john-osullivan/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/john-osullivan/avatar_huac5281182c44c4c27227286f3092a909_192824_270x270_fill_q75_lanczos_center.jpg alt="John O'Sullivan"><div class=portrait-title><h2>John O'Sullivan</h2><h3>Collaborator</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/john-roeske/avatar_hu4319d5ff4a4e9c05cba253c9f6e69f4d_70622_270x270_fill_q75_lanczos_center.jpg alt="John Roeske"><div class=portrait-title><h2>John Roeske</h2><h3>Professor of Applied Health Sciences and Chief of the Division of Medical Physics for the Department of Radiation Oncology at Loyola University Chicago Medical Center</h3><h3><a href=https://www.loyolamedicine.org/ target=_blank rel=noopener><span>Loyola University Chicago Medical Center</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/johnroeske/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/jonathan-warkentin/avatar_hu7ff7640a9202e059dd5c805f17a2fa74_277583_270x270_fill_q75_lanczos_center.jpg alt="Jonathan Warkentin"><div class=portrait-title><h2>Jonathan Warkentin</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jonathan-warkentin/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Jong Gook Ko</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Joseph P. Kaylor</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/kaylor-restfs-2011/>RestFS: The Filesystem as a Connector Abstraction for Flexible Resource and Service Composition</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/juanjo-bazan/index.html b/author/juanjo-bazan/index.html
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@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Juanjo Bazan</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/juliet-brophy/index.html b/author/juliet-brophy/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/juliet-brophy/avatar_hu2e7af3211066c0dd51c4323c981db4ca_25464_270x270_fill_q75_lanczos_center.jpg alt="Juliet Brophy"><div class=portrait-title><h2>Juliet Brophy</h2><h3>Assistant Professor of Anthropology at Louisiana State University</h3><h3><a href=https://lsu.edu/ target=_blank rel=noopener><span>Louisiana State University</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/juliet-brophy-75901580/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Juliet K. Brophy</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/matthews-shape-based-2021/>Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology</a></li><li><a href=/publication/brophy-analysis-2019/>An Analysis of the Effect of Tooth Wear on Bovid Identification</a></li><li><a href=/publication/matthews-comparison-2018/>A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae</a></li><li><a href=/publication/matthews-examining-2017/>Examining the Use of Amazon's Mechanical Turk for Edge Extraction of the Occlusal Surface of Fossilized Bovid Teeth.</a></li><li><a href=/publication/brophy-quantitative-2015/>Quantitative Morphological Analysis of Bovid Teeth Using Elliptical Fourier Function Analyses</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Junhyeok Lee</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Juzheng Liu</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/karolina-ryzka/avatar_huc6222bee2c97d678cdc0c1a9f095c36a_95115_270x270_fill_q75_lanczos_center.jpg alt="Karolina Ryzka"><div class=portrait-title><h2>Karolina Ryzka</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/KarolinaRyzka target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/karolina-ryzka-522365268/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Kate Lee</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/ghodgaonkar-observing-2020/>Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Konrad Hinsen</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/thiruvathukal-virtualization-2010/>Virtualization for Computational Scientists</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/kristy-elizabeth-boyer/index.html b/author/kristy-elizabeth-boyer/index.html
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diff --git a/author/laufer/index.html b/author/laufer/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Liang Shen</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Ling Zhang</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/dailey-automated-2021/>Automated Discovery of Network Cameras inHeterogeneous Web Pages</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/lorena-a.-barba/index.html b/author/lorena-a.-barba/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Lorena A. Barba</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li><li><a href=/publication/barba-reproducible-2017/>Reproducible Research for Computing in Science & Engineering</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/author/luke-niemeyer/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=alternate href=/author/luke-niemeyer/index.xml type=application/rss+xml title="Software and Systems Laboratory"><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/author/luke-niemeyer/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/author/luke-niemeyer/"><meta property="og:title" content="Luke Niemeyer | Software and Systems Laboratory"><meta property="og:description" content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><meta property="og:image" content="https://ssl.cs.luc.edu/author/luke-niemeyer/avatar_hu584ea4699da5c502f588ea13c5d27ec0_56803_270x270_fill_q75_lanczos_center.jpg"><meta property="twitter:image" content="https://ssl.cs.luc.edu/author/luke-niemeyer/avatar_hu584ea4699da5c502f588ea13c5d27ec0_56803_270x270_fill_q75_lanczos_center.jpg"><meta property="og:locale" content="en-us"><title>Luke Niemeyer | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=291d5833686b297c19da9d719a4388d6><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/luke-niemeyer/avatar_hu584ea4699da5c502f588ea13c5d27ec0_56803_270x270_fill_q75_lanczos_center.jpg alt="Luke Niemeyer"><div class=portrait-title><h2>Luke Niemeyer</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/LukeNiemeyer target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/luke-niemeyer2025/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<i class="fab fa-creative-commons-by fa-2x" aria-hidden=true></i>
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@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>M. M. Guo</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/lu-see-2019/>See the World Through Network Cameras</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/author/maddie-juarez/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=alternate href=/author/maddie-juarez/index.xml type=application/rss+xml title="Software and Systems Laboratory"><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/author/maddie-juarez/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/author/maddie-juarez/"><meta property="og:title" content="Maddie Juarez | Software and Systems Laboratory"><meta property="og:description" content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><meta property="og:image" content="https://ssl.cs.luc.edu/author/maddie-juarez/avatar_hufdd48130be9a2859e6a8b525815f6e1e_99291_270x270_fill_q75_lanczos_center.jpg"><meta property="twitter:image" content="https://ssl.cs.luc.edu/author/maddie-juarez/avatar_hufdd48130be9a2859e6a8b525815f6e1e_99291_270x270_fill_q75_lanczos_center.jpg"><meta property="og:locale" content="en-us"><title>Maddie Juarez | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=5f7a3789c29c489f1b829cdc935f062d><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/maddie-juarez/avatar_hufdd48130be9a2859e6a8b525815f6e1e_99291_270x270_fill_q75_lanczos_center.jpg alt="Maddie Juarez"><div class=portrait-title><h2>Maddie Juarez</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/mjuarez4 target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/madisonjuarez-mpj/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<i class="fab fa-creative-commons-by fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Manish Parashar</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/parashar-extreme-2014/>Extreme Data [Guest Editors' Introduction]</a></li><li><a href=/publication/thiruvathukal-cloud-2013/>Cloud Computing [Guest Editors' Introduction]</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Mark Lewis</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/lewis-scala-2014/>Scala for Introductory CS and Parallelism (Workshop)</a></li><li><a href=/publication/lewis-using-2013/>Using Scala strategically across the undergraduate curriculum (abstract only)</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/martin-zugschwert/index.html b/author/martin-zugschwert/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Matthew Ardi</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/mei-ling-shyu/index.html b/author/mei-ling-shyu/index.html
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diff --git a/author/michael-e.-papka/index.html b/author/michael-e.-papka/index.html
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diff --git a/author/michael-papka/index.html b/author/michael-papka/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Michael Tobis</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/terrel-scientific-2015/>Scientific Software Communities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Mike Lewis</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/lewis-distributed-2017/>A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/mike-robinson/avatar_hu3498532e2b0d87266d8ebfd828f1312c_33852_270x270_fill_q75_lanczos_center.jpg alt="Mike Robinson"><div class=portrait-title><h2>Mike Robinson</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/robinsonmj/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/mohammed-abuhamad/index.html b/author/mohammed-abuhamad/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/mohammed-abuhamad/avatar_hu9c7473953126335ebe17f6f86539ea19_20780_270x270_fill_q75_lanczos_center.jpg alt="Mohammed Abuhamad"><div class=portrait-title><h2>Mohammed Abuhamad</h2><h3>Faculty Advisors</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/abuhamadm/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/naveen-vivek/index.html b/author/naveen-vivek/index.html
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diff --git a/author/neil-klingensmith/index.html b/author/neil-klingensmith/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/neil-klingensmith/avatar_hu4da464518c2b4711b74404b9816ee73e_114734_270x270_fill_q75_lanczos_center.jpg alt="Neil Klingensmith"><div class=portrait-title><h2>Neil Klingensmith</h2><h3>Co-Director</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/neil-klingensmith-976262b5/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/neil-p.-chue-hong/index.html b/author/neil-p.-chue-hong/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Neil P. Chue Hong</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/carver-software-2017/>Software Engineering for Science</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/nicholas-baker/index.html b/author/nicholas-baker/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/nicholas-baker/avatar_hu8213a8c0381f0fc97cc362abc3042b6a_3287979_270x270_fill_q75_lanczos_center.jpg alt="Nicholas Baker"><div class=portrait-title><h2>Nicholas Baker</h2><h3>Assistant Professor Psychology at Loyola University Chicago</h3><h3><a href=https://www.luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/nicholas-j.-hayward/index.html b/author/nicholas-j.-hayward/index.html
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diff --git a/author/nicholas-synovic/index.html b/author/nicholas-synovic/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/nicholas-synovic/avatar_hubef60e9dbfc916e269371d18462ea941_2790788_270x270_fill_q75_lanczos_center.jpg alt="Nicholas Synovic"><div class=portrait-title><h2>Nicholas Synovic</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/NicholasSynovic target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/nsynovic target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li><li><a href=https://nsynovic.dev target=_blank rel=noopener aria-label=envelope><i class="fas fa-envelope big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/nick-eliopolous/index.html b/author/nick-eliopolous/index.html
index 2a0a59a..cb704b7 100644
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+++ b/author/nick-eliopolous/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Nick Eliopolous</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/ghodgaonkar-observing-2020/>Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/nick-eliopoulos/index.html b/author/nick-eliopoulos/index.html
index 8b68e87..8c39584 100644
--- a/author/nick-eliopoulos/index.html
+++ b/author/nick-eliopoulos/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Nick Eliopoulos</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/goel-directed-2022/>Directed Acyclic Graph-Based Neural Networks for Tunable Low-Power Computer Vision</a></li><li><a href=/publication/tung-irrelevant-2022/>Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision</a></li><li><a href=/publication/goel-tree-based-2022/>Tree-based Unidirectional Neural Networks for Low-Power Computer Vision</a></li><li><a href=/publication/tung-why-2022/>Why Accuracy is Not Enough: The Need for Consistency in Object Detection</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/nick-john-eliopoulos/index.html b/author/nick-john-eliopoulos/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/nick-john-eliopoulos/avatar_hua0e85ad50ec46ba901f060d16be3bebf_311549_270x270_fill_q75_lanczos_center.jpg alt="Nick John Eliopoulos"><div class=portrait-title><h2>Nick John Eliopoulos</h2><h3>Ph.D Student at Purdue University</h3><h3><a href=https://purdue.edu target=_blank rel=noopener><span>Purdue University</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/nickjeliopoulos target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/nick-j-eliopoulos/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/noah-curran/index.html b/author/noah-curran/index.html
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diff --git a/author/oscar-yanek/index.html b/author/oscar-yanek/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/oscar-yanek/avatar_hu13a304206ba2733f80832ac311fb55f7_406778_270x270_fill_q75_lanczos_center.jpg alt="Oscar Yanek"><div class=portrait-title><h2>Oscar Yanek</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/oyanek target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=https://www.linkedin.com/in/oscar-yanek-0a665a157/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/pamela-l.-caughie/index.html b/author/pamela-l.-caughie/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Pamela L. Caughie</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/caughie-woolf-2018/>Woolf Online</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Pjotr Prins</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/r.-dailey/index.html b/author/r.-dailey/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/riley-clarkson/avatar_hu880c56a4c61ab5caad5d0d3ba91b00c4_113592_270x270_fill_q75_lanczos_center.jpg alt="Riley Clarkson"><div class=portrait-title><h2>Riley Clarkson</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/riley-clarkson-975632150/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/robert-g.-morrison/avatar_hu6a0d6cfbaaba3a941edd5f8ac1906bf3_10485_270x270_fill_q75_lanczos_center.jpg alt="Robert G. Morrison"><div class=portrait-title><h2>Robert G. Morrison</h2><h3>Associate Professor and Undergraduate Program Directory of Neuroscience at Loyola University Chicago</h3><h3><a href=https://www.luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/robertgmorrison/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/rohan-sethi/index.html b/author/rohan-sethi/index.html
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--- a/author/rohan-sethi/index.html
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@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/rohan-sethi/avatar_hu22d9d9b69eb7b070405c4c593a00179c_49365_270x270_fill_q75_lanczos_center.jpg alt="Rohan Sethi"><div class=portrait-title><h2>Rohan Sethi</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/rsethi21 target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/roman-valls-guimera/index.html b/author/roman-valls-guimera/index.html
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@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Roman Valls Guimera</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/ryan-chen/index.html b/author/ryan-chen/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Ryan Chen</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/ghodgaonkar-observing-2020/>Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/sean-higgins/avatar_hu7c9c3c2fccdbc5baa7a0057fe535a83f_309048_270x270_fill_q75_lanczos_center.jpg alt="Sean Higgins"><div class=portrait-title><h2>Sean Higgins</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/riley-clarkson-975632150/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/author/sean-higgins/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=alternate href=/author/sean-higgins/index.xml type=application/rss+xml title="Software and Systems Laboratory"><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/author/sean-higgins/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/author/sean-higgins/"><meta property="og:title" content="Sean Higgins | Software and Systems Laboratory"><meta property="og:description" content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="og:updated_time" content="2020-01-01T00:00:00+00:00"><title>Sean Higgins | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Sean Higgins</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/miller-toward-2020/>Toward a containerized pipeline for longitudinal analysis of open-source software projects</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/author/sebastian-kurtek/index.html b/author/sebastian-kurtek/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Sebastian Kurtek</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/matthews-shape-based-2021/>Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Sergei Alyamkin</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Seungjae Lee</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Soonhoi Ha</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/sophie-von-hatton/index.html b/author/sophie-von-hatton/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/sophie-von-hatton/avatar_hubd89298e42f143ddcdc09a9840fcbe27_5553_270x270_fill_q75_lanczos_center.jpg alt="Sophie Von Hatton"><div class=portrait-title><h2>Sophie Von Hatton</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/stephanie-rodriguez/avatar_hu3c91c43511ee62576852e613bb5a6e35_46473_270x270_fill_q75_lanczos_center.jpg alt="Stephanie Rodriguez"><div class=portrait-title><h2>Stephanie Rodriguez</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/stephanie99rodriguez/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/steven-e.-jones/index.html b/author/steven-e.-jones/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Steven E. Jones</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/jones-codename-2012/>Codename Revolution: The Nintendo WII Platform (Platform Studies)</a></li><li><a href=/publication/jones-object-2011/>The Object of Platform Studies: Relational Materialities and the Social Platform (the Case of the Nintendo Wii)</a></li><li><a href=/publication/thiruvathukal-e-carrel-2010/>E-Carrel: An Environment for Collaborative Textual Scholarship</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/steven-reisman/index.html b/author/steven-reisman/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Tania Allard</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/smith-siam-2019/>SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/thomas-delgado-dias/index.html b/author/thomas-delgado-dias/index.html
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diff --git a/author/thomas-hatzopoulos/index.html b/author/thomas-hatzopoulos/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Thomas Hatzopoulos</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/reisman-polyglot-2016/>A Polyglot Approach to Bioinformatics Data Integration: A Phylogenetic Analysis of HIV-1</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/vipin-chaudhary/avatar_hu3d03a01dcc18bc5be0e67db3d8d209a6_33495_270x270_fill_q75_lanczos_center.jpg alt="Vipin Chaudhary"><div class=portrait-title><h2>Vipin Chaudhary</h2><h3>Department Chair of Computer and Data Sciences Department at Case Western Reserve University</h3><h3><a href=https://case.edu/ target=_blank rel=noopener><span>Case Western Reserve University</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/vipin-chaudhary-379529/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>William Honig</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/honig-framework-2015/>A Framework Architecture for Student Learning in Distributed Embedded Systems</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Xiao Hu</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/goel-directed-2022/>Directed Acyclic Graph-Based Neural Networks for Tunable Low-Power Computer Vision</a></li><li><a href=/publication/goel-efficient-2022/>Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks</a></li><li><a href=/publication/tung-irrelevant-2022/>Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision</a></li><li><a href=/publication/tung-why-2022/>Why Accuracy is Not Enough: The Need for Consistency in Object Detection</a></li><li><a href=/publication/tung-why-2022-1/>Why Accuracy Is Not Enough: The Need for Consistency in Object Detection</a></li><li><a href=/publication/hu-crowdsourcing-2020/>Crowdsourcing Detection of Sampling Biases in Image Datasets</a></li><li><a href=/publication/ghodgaonkar-observing-2020/>Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras</a></li><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/xiao-yong-jin/avatar_hu4b518ced497b9fce445f1aa22c23562f_192291_270x270_fill_q75_lanczos_center.jpg alt="Xiao-Yong Jin"><div class=portrait-title><h2>Xiao-Yong Jin</h2><h3>Assistant Scientist at Argonne National Laboratory</h3><h3><a href=https://www.anl.gov/ target=_blank rel=noopener><span>Argonne National Laboratory</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/xiao-yong-jin-58075815/ target=_blank rel=noopener aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/xiaopeng-zhang/index.html b/author/xiaopeng-zhang/index.html
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--- a/author/xiaopeng-zhang/index.html
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@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Xiaopeng Zhang</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/xiaoyong-jin/index.html b/author/xiaoyong-jin/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Yan-Hao Chang</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/chakraborty-real-time-2020/>A Real-Time Feature Indexing System on Live Video Streams</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/yang-lu/index.html b/author/yang-lu/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Yen-Kuan. Chen</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/tung-large-scale-2019/>Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Younghyun Kim</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/veselsky-establishing-2022-1/>Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach</a></li><li><a href=/publication/veselsky-establishing-2022/>Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach</a></li><li><a href=/publication/west-moonshine-2021/>Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/yuanjun-huang/index.html b/author/yuanjun-huang/index.html
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+++ b/author/yuanjun-huang/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Yuanjun Huang</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/alyamkin-low-power-2019/>Low-Power Computer Vision: Status, Challenges, and Opportunities</a></li><li><a href=/publication/alyamkin-2018-2018/>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/yucheng-yang/index.html b/author/yucheng-yang/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Yuxiang Zi</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/gauen-comparison-2017/>Comparison of Visual Datasets for Machine Learning</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/yvette-diaz/index.html b/author/yvette-diaz/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/yvette-diaz/avatar_hu4ae487daf6a7b00712a59f1b83e31d6b_41357_270x270_fill_q75_lanczos_center.jpg alt="Yvette Diaz"><div class=portrait-title><h2>Yvette Diaz</h2><h3>Software Engineer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href=https://github.com/yvette1730 target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li><li><a href=/www.linkedin.com/in/yvettediaz0408 aria-label=linkedin><i class="fab fa-linkedin big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/z.-kapach/index.html b/author/z.-kapach/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/zachary-gallagher/avatar_hu61e4ac972403c06a5b02e34ecbfb4273_166551_270x270_fill_q75_lanczos_center.jpg alt="Zachary Gallagher"><div class=portrait-title><h2>Zachary Gallagher</h2><h3>Software Developer</h3><h3><a href=https://luc.edu/ target=_blank rel=noopener><span>Loyola University Chicago</span></a></h3></div><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-lg-8"><div class=article-style></div><div class=row></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/zhaoya-sun/index.html b/author/zhaoya-sun/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Zhengxin Yan</h1></div><section id=profile-page class=pt-5><div class=container><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/banna-experience-2021/>An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/author/zichen-fan/index.html b/author/zichen-fan/index.html
index 3576259..1d022b8 100644
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diff --git a/authors/index.html b/authors/index.html
index c9fa29c..ea7a1d6 100644
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@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/abhinav-goel/>Abhinav Goel</a></li><li><a href=https://ssl.cs.luc.edu/author/amy-wang/>Amy Wang</a></li><li><a href=https://ssl.cs.luc.edu/author/aryan-indarapu/>Aryan Indarapu</a></li><li><a href=https://ssl.cs.luc.edu/author/bo-chen/>Bo Chen</a></li><li><a href=https://ssl.cs.luc.edu/author/caleb-tung/>Caleb Tung</a></li><li><a href=https://ssl.cs.luc.edu/author/emmanuel-s.-amobi/>Emmanuel S. Amobi</a></li><li><a href=https://ssl.cs.luc.edu/author/fischer-bordwell/>Fischer Bordwell</a></li><li><a href=https://ssl.cs.luc.edu/author/george-k-thiruvathukal/>George K Thiruvathukal</a></li><li><a href=https://ssl.cs.luc.edu/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></li><li><a href=https://ssl.cs.luc.edu/author/isaac-ahlgren/>Isaac Ahlgren</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/2/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/10/index.html b/authors/page/10/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/sneha-mahapatra/>Sneha Mahapatra</a></li><li><a href=https://ssl.cs.luc.edu/author/somesh-dube/>Somesh Dube</a></li><li><a href=https://ssl.cs.luc.edu/author/sophie-von-hatten/>Sophie Von Hatten</a></li><li><a href=https://ssl.cs.luc.edu/author/tien-vonguyen/>Tien VoNguyen</a></li><li><a href=https://ssl.cs.luc.edu/author/a.-s.-kaseb/>A. S. Kaseb</a></li><li><a href=https://ssl.cs.luc.edu/author/d.-malik/>D. Malik</a></li><li><a href=https://ssl.cs.luc.edu/author/d.-rijhwani/>D. Rijhwani</a></li><li><a href=https://ssl.cs.luc.edu/author/g.-k.-thiruvathukal/>G. K. Thiruvathukal</a></li><li><a href=https://ssl.cs.luc.edu/author/k.-gauen/>K. Gauen</a></li><li><a href=https://ssl.cs.luc.edu/author/m.-m.-guo/>M. M. Guo</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/9/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/11/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/11/index.html b/authors/page/11/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/r.-dailey/>R. Dailey</a></li><li><a href=https://ssl.cs.luc.edu/author/ronald-i.-greenberg/>Ronald I. Greenberg</a></li><li><a href=https://ssl.cs.luc.edu/author/s.-aghajanzadeh/>S. Aghajanzadeh</a></li><li><a href=https://ssl.cs.luc.edu/author/y.-huang/>Y. Huang</a></li><li><a href=https://ssl.cs.luc.edu/author/y.-lu/>Y. Lu</a></li><li><a href=https://ssl.cs.luc.edu/author/a.-alikhan/>A. Alikhan</a></li><li><a href=https://ssl.cs.luc.edu/author/a.-mohan/>A. Mohan</a></li><li><a href=https://ssl.cs.luc.edu/author/a.-ulmer/>A. Ulmer</a></li><li><a href=https://ssl.cs.luc.edu/author/d.-merrick/>D. Merrick</a></li><li><a href=https://ssl.cs.luc.edu/author/z.-kapach/>Z. Kapach</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/10/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/12/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/12/index.html b/authors/page/12/index.html
index fe1633c..c32e9d5 100644
--- a/authors/page/12/index.html
+++ b/authors/page/12/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/achille-brighton/>Achille Brighton</a></li><li><a href=https://ssl.cs.luc.edu/author/alexander-c.-berg/>Alexander C. Berg</a></li><li><a href=https://ssl.cs.luc.edu/author/alexander-goncharenko/>Alexander Goncharenko</a></li><li><a href=https://ssl.cs.luc.edu/author/alexander-kondratyev/>Alexander Kondratyev</a></li><li><a href=https://ssl.cs.luc.edu/author/andrew-howard/>Andrew Howard</a></li><li><a href=https://ssl.cs.luc.edu/author/baiwu-zhang/>Baiwu Zhang</a></li><li><a href=https://ssl.cs.luc.edu/author/bo-fu/>Bo Fu</a></li><li><a href=https://ssl.cs.luc.edu/author/chen-feng/>Chen Feng</a></li><li><a href=https://ssl.cs.luc.edu/author/david-svitov/>David Svitov</a></li><li><a href=https://ssl.cs.luc.edu/author/deeptanshu-malik/>Deeptanshu Malik</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/11/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/13/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/13/index.html b/authors/page/13/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/denis-repin/>Denis Repin</a></li><li><a href=https://ssl.cs.luc.edu/author/donghyun-kang/>Donghyun Kang</a></li><li><a href=https://ssl.cs.luc.edu/author/eunbyung-park/>Eunbyung Park</a></li><li><a href=https://ssl.cs.luc.edu/author/fei-sun/>Fei Sun</a></li><li><a href=https://ssl.cs.luc.edu/author/hong-hanh-nguyen/>Hong Hanh Nguyen</a></li><li><a href=https://ssl.cs.luc.edu/author/hsin-pai-cheng/>Hsin-Pai Cheng</a></li><li><a href=https://ssl.cs.luc.edu/author/jingchi-zhang/>Jingchi Zhang</a></li><li><a href=https://ssl.cs.luc.edu/author/jong-gook-ko/>Jong Gook Ko</a></li><li><a href=https://ssl.cs.luc.edu/author/junhyeok-lee/>Junhyeok Lee</a></li><li><a href=https://ssl.cs.luc.edu/author/juzheng-liu/>Juzheng Liu</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/12/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/14/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/14/index.html b/authors/page/14/index.html
index 1d4d80c..f8dc495 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/kent-gauen/>Kent Gauen</a></li><li><a href=https://ssl.cs.luc.edu/author/liang-shen/>Liang Shen</a></li><li><a href=https://ssl.cs.luc.edu/author/matthew-ardi/>Matthew Ardi</a></li><li><a href=https://ssl.cs.luc.edu/author/sergei-alyamkin/>Sergei Alyamkin</a></li><li><a href=https://ssl.cs.luc.edu/author/seungjae-lee/>Seungjae Lee</a></li><li><a href=https://ssl.cs.luc.edu/author/shaojie-zhuo/>Shaojie Zhuo</a></li><li><a href=https://ssl.cs.luc.edu/author/soonhoi-ha/>Soonhoi Ha</a></li><li><a href=https://ssl.cs.luc.edu/author/suwoong-lee/>Suwoong Lee</a></li><li><a href=https://ssl.cs.luc.edu/author/tao-sheng/>Tao Sheng</a></li><li><a href=https://ssl.cs.luc.edu/author/xiaopeng-zhang/>Xiaopeng Zhang</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/13/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/15/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/authors/page/15/index.html b/authors/page/15/index.html
index 4bac4c6..453104d 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/xin-liu/>Xin Liu</a></li><li><a href=https://ssl.cs.luc.edu/author/xuyang-guo/>Xuyang Guo</a></li><li><a href=https://ssl.cs.luc.edu/author/yang-lu/>Yang Lu</a></li><li><a href=https://ssl.cs.luc.edu/author/yuanjun-huang/>Yuanjun Huang</a></li><li><a href=https://ssl.cs.luc.edu/author/zhiyu-liang/>Zhiyu Liang</a></li><li><a href=https://ssl.cs.luc.edu/author/zichao-li/>Zichao Li</a></li><li><a href=https://ssl.cs.luc.edu/author/zichen-fan/>Zichen Fan</a></li><li><a href=https://ssl.cs.luc.edu/author/binhan-xu/>Binhan Xu</a></li><li><a href=https://ssl.cs.luc.edu/author/matthew-r.-kelleher/>Matthew R. Kelleher</a></li><li><a href=https://ssl.cs.luc.edu/author/ryan-j.-schlueter/>Ryan J. Schlueter</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/14/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/16/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/16/index.html b/authors/page/16/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/yen-kuan.-chen/>Yen-Kuan. Chen</a></li><li><a href=https://ssl.cs.luc.edu/author/arfon-smith/>Arfon Smith</a></li><li><a href=https://ssl.cs.luc.edu/author/ariel-rokem/>Ariel Rokem</a></li><li><a href=https://ssl.cs.luc.edu/author/christopher-madan/>Christopher Madan</a></li><li><a href=https://ssl.cs.luc.edu/author/daniel-s.-katz/>Daniel S. Katz</a></li><li><a href=https://ssl.cs.luc.edu/author/elizabeth-ramirez/>Elizabeth Ramirez</a></li><li><a href=https://ssl.cs.luc.edu/author/jack-poulson/>Jack Poulson</a></li><li><a href=https://ssl.cs.luc.edu/author/jason-clark/>Jason Clark</a></li><li><a href=https://ssl.cs.luc.edu/author/jed-brown/>Jed Brown</a></li><li><a href=https://ssl.cs.luc.edu/author/juanjo-bazan/>Juanjo Bazan</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/15/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/17/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/authors/page/17/index.html b/authors/page/17/index.html
index a29adff..c0a237c 100644
--- a/authors/page/17/index.html
+++ b/authors/page/17/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/karthik-ram/>Karthik Ram</a></li><li><a href=https://ssl.cs.luc.edu/author/kathryn-huff/>Kathryn Huff</a></li><li><a href=https://ssl.cs.luc.edu/author/kevin-moerman/>Kevin Moerman</a></li><li><a href=https://ssl.cs.luc.edu/author/kristen-thyng/>Kristen Thyng</a></li><li><a href=https://ssl.cs.luc.edu/author/kyle-niemeyer/>Kyle Niemeyer</a></li><li><a href=https://ssl.cs.luc.edu/author/lindsey-heagy/>Lindsey Heagy</a></li><li><a href=https://ssl.cs.luc.edu/author/lorena-a.-barba/>Lorena A. Barba</a></li><li><a href=https://ssl.cs.luc.edu/author/lorena-pantano/>Lorena Pantano</a></li><li><a href=https://ssl.cs.luc.edu/author/melissa-gymrek/>Melissa Gymrek</a></li><li><a href=https://ssl.cs.luc.edu/author/pjotr-prins/>Pjotr Prins</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/16/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/18/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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\ No newline at end of file
diff --git a/authors/page/18/index.html b/authors/page/18/index.html
index 7fc021f..fa93133 100644
--- a/authors/page/18/index.html
+++ b/authors/page/18/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/roman-valls-guimera/>Roman Valls Guimera</a></li><li><a href=https://ssl.cs.luc.edu/author/tania-allard/>Tania Allard</a></li><li><a href=https://ssl.cs.luc.edu/author/viviane-pons/>Viviane Pons</a></li><li><a href=https://ssl.cs.luc.edu/author/yo-yehudi/>Yo Yehudi</a></li><li><a href=https://ssl.cs.luc.edu/author/cameron-christensen/>Cameron Christensen</a></li><li><a href=https://ssl.cs.luc.edu/author/francois-tessier/>François Tessier</a></li><li><a href=https://ssl.cs.luc.edu/author/jeffrey-c.-carver/>Jeffrey C. Carver</a></li><li><a href=https://ssl.cs.luc.edu/author/john-osullivan/>John O'Sullivan</a></li><li><a href=https://ssl.cs.luc.edu/author/nasir-u.-eisty/>Nasir U. Eisty</a></li><li><a href=https://ssl.cs.luc.edu/author/sara-t.-greenberg/>Sara T. Greenberg</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/17/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/19/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/19/index.html b/authors/page/19/index.html
index 3b95294..bd204c0 100644
--- a/authors/page/19/index.html
+++ b/authors/page/19/index.html
@@ -2,7 +2,7 @@
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diff --git a/authors/page/2/index.html b/authors/page/2/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/jack-west/>Jack West</a></li><li><a href=https://ssl.cs.luc.edu/author/jaeyoun-kim/>Jaeyoun Kim</a></li><li><a href=https://ssl.cs.luc.edu/author/jakob-veselsky/>Jakob Veselsky</a></li><li><a href=https://ssl.cs.luc.edu/author/james-c.-davis/>James C. Davis</a></li><li><a href=https://ssl.cs.luc.edu/author/kassem-fawaz/>Kassem Fawaz</a></li><li><a href=https://ssl.cs.luc.edu/author/kyuin-lee/>Kyuin Lee</a></li><li><a href=https://ssl.cs.luc.edu/author/matt-hyatt/>Matt Hyatt</a></li><li><a href=https://ssl.cs.luc.edu/author/neil-klingensmith/>Neil Klingensmith</a></li><li><a href=https://ssl.cs.luc.edu/author/nicholas-synovic/>Nicholas Synovic</a></li><li><a href=https://ssl.cs.luc.edu/author/nick-eliopoulos/>Nick Eliopoulos</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/3/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/20/index.html b/authors/page/20/index.html
index a9e2e93..3b9ec82 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/amy-reibman/>Amy Reibman</a></li><li><a href=https://ssl.cs.luc.edu/author/anup-mohan/>Anup Mohan</a></li><li><a href=https://ssl.cs.luc.edu/author/francis-sullivan/>Francis Sullivan</a></li><li><a href=https://ssl.cs.luc.edu/author/hongie-gu/>Hongie Gu</a></li><li><a href=https://ssl.cs.luc.edu/author/isabel-beichl/>Isabel Beichl</a></li><li><a href=https://ssl.cs.luc.edu/author/jongkook-go/>Jongkook Go</a></li><li><a href=https://ssl.cs.luc.edu/author/mark-hussey/>Mark Hussey</a></li><li><a href=https://ssl.cs.luc.edu/author/maxwell-p.-luetkemeier/>Maxwell P. Luetkemeier</a></li><li><a href=https://ssl.cs.luc.edu/author/nicholas-j.-hayward/>Nicholas J. Hayward</a></li><li><a href=https://ssl.cs.luc.edu/author/norman-chonacky/>Norman Chonacky</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/19/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/21/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/21/index.html b/authors/page/21/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/pamela-l.-caughie/>Pamela L. Caughie</a></li><li><a href=https://ssl.cs.luc.edu/author/peter-j.-shillingsburg/>Peter J. Shillingsburg</a></li><li><a href=https://ssl.cs.luc.edu/author/andrew-johnson/>Andrew Johnson</a></li><li><a href=https://ssl.cs.luc.edu/author/david-b.-dennis/>David B. Dennis</a></li><li><a href=https://ssl.cs.luc.edu/author/george-f.-hurlburt/>George F. Hurlburt</a></li><li><a href=https://ssl.cs.luc.edu/author/jeffrey-carver/>Jeffrey Carver</a></li><li><a href=https://ssl.cs.luc.edu/author/john-laiman/>John Laiman</a></li><li><a href=https://ssl.cs.luc.edu/author/maria-r.-lee/>Maria R. Lee</a></li><li><a href=https://ssl.cs.luc.edu/author/matthew-p.-luetkemeier/>Matthew P. Luetkemeier</a></li><li><a href=https://ssl.cs.luc.edu/author/mei-ling-shyu/>Mei-Ling Shyu</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/20/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/22/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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\ No newline at end of file
diff --git a/authors/page/22/index.html b/authors/page/22/index.html
index 2a7eb5b..524a747 100644
--- a/authors/page/22/index.html
+++ b/authors/page/22/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/michael-papka/>Michael Papka</a></li><li><a href=https://ssl.cs.luc.edu/author/mike-lewis/>Mike Lewis</a></li><li><a href=https://ssl.cs.luc.edu/author/neil-p.-chue-hong/>Neil P. Chue Hong</a></li><li><a href=https://ssl.cs.luc.edu/author/nirmal-asokan/>Nirmal Asokan</a></li><li><a href=https://ssl.cs.luc.edu/author/shu-ching-chen/>Shu-Ching Chen</a></li><li><a href=https://ssl.cs.luc.edu/author/yuxiang-zi/>Yuxiang Zi</a></li><li><a href=https://ssl.cs.luc.edu/author/adrienne-decker/>Adrienne Decker</a></li><li><a href=https://ssl.cs.luc.edu/author/catherine-putonti/>Catherine Putonti</a></li><li><a href=https://ssl.cs.luc.edu/author/jamie-payton/>Jamie Payton</a></li><li><a href=https://ssl.cs.luc.edu/author/jeffrey-forbes/>Jeffrey Forbes</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/21/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/23/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/23/index.html b/authors/page/23/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/kristy-elizabeth-boyer/>Kristy Elizabeth Boyer</a></li><li><a href=https://ssl.cs.luc.edu/author/kurt-eiselt/>Kurt Eiselt</a></li><li><a href=https://ssl.cs.luc.edu/author/steven-reisman/>Steven Reisman</a></li><li><a href=https://ssl.cs.luc.edu/author/thomas-hatzopoulos/>Thomas Hatzopoulos</a></li><li><a href=https://ssl.cs.luc.edu/author/tiffany-barnes/>Tiffany Barnes</a></li><li><a href=https://ssl.cs.luc.edu/author/andy-terrel/>Andy Terrel</a></li><li><a href=https://ssl.cs.luc.edu/author/jeff-forbes/>Jeff Forbes</a></li><li><a href=https://ssl.cs.luc.edu/author/michael-tobis/>Michael Tobis</a></li><li><a href=https://ssl.cs.luc.edu/author/ufuk-verun/>Ufuk Verun</a></li><li><a href=https://ssl.cs.luc.edu/author/william-honig/>William Honig</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/22/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/24/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/24/index.html b/authors/page/24/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/manish-parashar/>Manish Parashar</a></li><li><a href=https://ssl.cs.luc.edu/author/mark-lewis/>Mark Lewis</a></li><li><a href=https://ssl.cs.luc.edu/author/trevor-borg/>Trevor Borg</a></li><li><a href=https://ssl.cs.luc.edu/author/paul-stasiuk/>Paul Stasiuk</a></li><li><a href=https://ssl.cs.luc.edu/author/thomas-delgado-dias/>Thomas Delgado Dias</a></li><li><a href=https://ssl.cs.luc.edu/author/xian-yan/>Xian Yan</a></li><li><a href=https://ssl.cs.luc.edu/author/laufer/>Läufer</a></li><li><a href=https://ssl.cs.luc.edu/author/christian-timmerer/>Christian Timmerer</a></li><li><a href=https://ssl.cs.luc.edu/author/dejan-milojicic/>Dejan Milojicic</a></li><li><a href=https://ssl.cs.luc.edu/author/doree-d.-seligmann/>Doree D. Seligmann</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/23/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/25/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/25/index.html b/authors/page/25/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/joe-p.-kaylor/>Joe P. Kaylor</a></li><li><a href=https://ssl.cs.luc.edu/author/martin-arlitt/>Martin Arlitt</a></li><li><a href=https://ssl.cs.luc.edu/author/steven-e.-jones/>Steven E. Jones</a></li><li><a href=https://ssl.cs.luc.edu/author/joseph-p.-kaylor/>Joseph P. Kaylor</a></li><li><a href=https://ssl.cs.luc.edu/author/konrad-hinsen/>Konrad Hinsen</a></li><li><a href=https://ssl.cs.luc.edu/author/peter-shillingsburg/>Peter Shillingsburg</a></li><li><a href=https://ssl.cs.luc.edu/author/abhinav-goel/>Abhinav Goel</a></li><li><a href=https://ssl.cs.luc.edu/author/alexander-rose/>Alexander Rose</a></li><li><a href=https://ssl.cs.luc.edu/author/alexandra-crane/>Alexandra Crane</a></li><li><a href=https://ssl.cs.luc.edu/author/allan-miller/>Allan Miller</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/24/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/26/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/26/index.html b/authors/page/26/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/amol-sayala/>Amol Sayala</a></li><li><a href=https://ssl.cs.luc.edu/author/andrew-lake/>Andrew Lake</a></li><li><a href=https://ssl.cs.luc.edu/author/areej-imran/>Areej Imran</a></li><li><a href=https://ssl.cs.luc.edu/author/austin-pinderski/>Austin Pinderski</a></li><li><a href=https://ssl.cs.luc.edu/author/brianna-chou/>Brianna Chou</a></li><li><a href=https://ssl.cs.luc.edu/author/caleb-tung/>Caleb Tung</a></li><li><a href=https://ssl.cs.luc.edu/author/daniel-moreira/>Daniel Moreira</a></li><li><a href=https://ssl.cs.luc.edu/author/daniel-palacios/>Daniel Palacios</a></li><li><a href=https://ssl.cs.luc.edu/author/dario-dematties/>Dario Dematties</a></li><li><a href=https://ssl.cs.luc.edu/author/david-b.-wetzel/>David B. Wetzel</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/25/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/27/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/authors/page/27/index.html b/authors/page/27/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/emmanual-amobi/>Emmanual Amobi</a></li><li><a href=https://ssl.cs.luc.edu/author/eric-chan-tin/>Eric Chan-Tin</a></li><li><a href=https://ssl.cs.luc.edu/author/erik-c.-pautsch/>Erik C. Pautsch</a></li><li><a href=https://ssl.cs.luc.edu/author/ethan-stoneman/>Ethan Stoneman</a></li><li><a href=https://ssl.cs.luc.edu/author/florence-m.-chee/>Florence M. Chee</a></li><li><a href=https://ssl.cs.luc.edu/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></li><li><a href=https://ssl.cs.luc.edu/author/gregory-matthews/>Gregory Matthews</a></li><li><a href=https://ssl.cs.luc.edu/author/igor-ponomarenko/>Igor Ponomarenko</a></li><li><a href=https://ssl.cs.luc.edu/author/iryna-motyashok/>Iryna Motyashok</a></li><li><a href=https://ssl.cs.luc.edu/author/isaac-ahlgren/>Isaac Ahlgren</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/26/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/28/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/authors/page/28/index.html b/authors/page/28/index.html
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diff --git a/authors/page/29/index.html b/authors/page/29/index.html
index 3e1ee65..3045b59 100644
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@@ -1,8 +1,8 @@
 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/authors/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=alternate href=/authors/index.xml type=application/rss+xml title="Software and Systems Laboratory"><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/authors/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/authors/"><meta property="og:title" content="Authors | Software and Systems Laboratory"><meta property="og:description" content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="og:updated_time" content="2022-01-01T00:00:00+00:00"><title>Authors | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/jonathan-warkentin/>Jonathan Warkentin</a></li><li><a href=https://ssl.cs.luc.edu/author/juliet-brophy/>Juliet Brophy</a></li><li><a href=https://ssl.cs.luc.edu/author/konstantin-laufer/>Konstantin Läufer</a></li><li><a href=https://ssl.cs.luc.edu/author/linette-maliakal/>Linette Maliakal</a></li><li><a href=https://ssl.cs.luc.edu/author/luke-baumel/>Luke Baumel</a></li><li><a href=https://ssl.cs.luc.edu/author/martin-zugschwert/>Martin Zugschwert</a></li><li><a href=https://ssl.cs.luc.edu/author/matt-hyatt/>Matt Hyatt</a></li><li><a href=https://ssl.cs.luc.edu/author/michael-e.-papka/>Michael E. Papka</a></li><li><a href=https://ssl.cs.luc.edu/author/mike-robinson/>Mike Robinson</a></li><li><a href=https://ssl.cs.luc.edu/author/mohammed-abuhamad/>Mohammed Abuhamad</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/28/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/30/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/jonathan-warkentin/>Jonathan Warkentin</a></li><li><a href=https://ssl.cs.luc.edu/author/juan-martinez/>Juan Martinez</a></li><li><a href=https://ssl.cs.luc.edu/author/juliet-brophy/>Juliet Brophy</a></li><li><a href=https://ssl.cs.luc.edu/author/karolina-ryzka/>Karolina Ryzka</a></li><li><a href=https://ssl.cs.luc.edu/author/konstantin-laufer/>Konstantin Läufer</a></li><li><a href=https://ssl.cs.luc.edu/author/linette-maliakal/>Linette Maliakal</a></li><li><a href=https://ssl.cs.luc.edu/author/luke-baumel/>Luke Baumel</a></li><li><a href=https://ssl.cs.luc.edu/author/luke-niemeyer/>Luke Niemeyer</a></li><li><a href=https://ssl.cs.luc.edu/author/maddie-juarez/>Maddie Juarez</a></li><li><a href=https://ssl.cs.luc.edu/author/martin-zugschwert/>Martin Zugschwert</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/28/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/30/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/authors/page/3/index.html b/authors/page/3/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/nick-john-eliopoulos/>Nick John Eliopoulos</a></li><li><a href=https://ssl.cs.luc.edu/author/rohan-sethi/>Rohan Sethi</a></li><li><a href=https://ssl.cs.luc.edu/author/taylor-r.-schorlemmer/>Taylor R. Schorlemmer</a></li><li><a href=https://ssl.cs.luc.edu/author/vipin-chaudhary/>Vipin Chaudhary</a></li><li><a href=https://ssl.cs.luc.edu/author/wenxin-jiang/>Wenxin Jiang</a></li><li><a href=https://ssl.cs.luc.edu/author/xiao-hu/>Xiao Hu</a></li><li><a href=https://ssl.cs.luc.edu/author/yiran-chen/>Yiran Chen</a></li><li><a href=https://ssl.cs.luc.edu/author/younghyun-kim/>Younghyun Kim</a></li><li><a href=https://ssl.cs.luc.edu/author/yucheng-yang/>Yucheng Yang</a></li><li><a href=https://ssl.cs.luc.edu/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/2/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/4/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/authors/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=alternate href=/authors/index.xml type=application/rss+xml title="Software and Systems Laboratory"><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/authors/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/authors/"><meta property="og:title" content="Authors | Software and Systems Laboratory"><meta property="og:description" content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="og:updated_time" content="2022-01-01T00:00:00+00:00"><title>Authors | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/morgan-richardson/>Morgan Richardson</a></li><li><a href=https://ssl.cs.luc.edu/author/neil-klingensmith/>Neil Klingensmith</a></li><li><a href=https://ssl.cs.luc.edu/author/nicholas-baker/>Nicholas Baker</a></li><li><a href=https://ssl.cs.luc.edu/author/nicholas-j.-hayward/>Nicholas J. Hayward</a></li><li><a href=https://ssl.cs.luc.edu/author/nicholas-synovic/>Nicholas Synovic</a></li><li><a href=https://ssl.cs.luc.edu/author/nick-john-eliopoulos/>Nick John Eliopoulos</a></li><li><a href=https://ssl.cs.luc.edu/author/oscar-yanek/>Oscar Yanek</a></li><li><a href=https://ssl.cs.luc.edu/author/purvish-jajal/>Purvish Jajal</a></li><li><a href=https://ssl.cs.luc.edu/author/riley-clarkson/>Riley Clarkson</a></li><li><a href=https://ssl.cs.luc.edu/author/robert-g.-morrison/>Robert G. Morrison</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/29/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/31/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/matt-hyatt/>Matt Hyatt</a></li><li><a href=https://ssl.cs.luc.edu/author/michael-e.-papka/>Michael E. Papka</a></li><li><a href=https://ssl.cs.luc.edu/author/mike-robinson/>Mike Robinson</a></li><li><a href=https://ssl.cs.luc.edu/author/mohammed-abuhamad/>Mohammed Abuhamad</a></li><li><a href=https://ssl.cs.luc.edu/author/morgan-richardson/>Morgan Richardson</a></li><li><a href=https://ssl.cs.luc.edu/author/neil-klingensmith/>Neil Klingensmith</a></li><li><a href=https://ssl.cs.luc.edu/author/nicholas-baker/>Nicholas Baker</a></li><li><a href=https://ssl.cs.luc.edu/author/nicholas-j.-hayward/>Nicholas J. Hayward</a></li><li><a href=https://ssl.cs.luc.edu/author/nicholas-synovic/>Nicholas Synovic</a></li><li><a href=https://ssl.cs.luc.edu/author/nick-john-eliopoulos/>Nick John Eliopoulos</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/29/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/31/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/31/index.html b/authors/page/31/index.html
index 8d52b20..5bf63ac 100644
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/authors/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=alternate href=/authors/index.xml type=application/rss+xml title="Software and Systems Laboratory"><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/authors/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/authors/"><meta property="og:title" content="Authors | Software and Systems Laboratory"><meta property="og:description" content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="og:updated_time" content="2022-01-01T00:00:00+00:00"><title>Authors | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/rohan-sethi/>Rohan Sethi</a></li><li><a href=https://ssl.cs.luc.edu/author/sean-higgins/>Sean Higgins</a></li><li><a href=https://ssl.cs.luc.edu/author/shilpika/>Shilpika</a></li><li><a href=https://ssl.cs.luc.edu/author/silvio-rizzi/>Silvio Rizzi</a></li><li><a href=https://ssl.cs.luc.edu/author/sohini-thota/>Sohini Thota</a></li><li><a href=https://ssl.cs.luc.edu/author/sophie-von-hatton/>Sophie Von Hatton</a></li><li><a href=https://ssl.cs.luc.edu/author/stephanie-rodriguez/>Stephanie Rodriguez</a></li><li><a href=https://ssl.cs.luc.edu/author/thomas-papka/>Thomas Papka</a></li><li><a href=https://ssl.cs.luc.edu/author/trey-roche/>Trey Roche</a></li><li><a href=https://ssl.cs.luc.edu/author/venkatram-vishwanath/>Venkatram Vishwanath</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/30/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/32/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/oscar-yanek/>Oscar Yanek</a></li><li><a href=https://ssl.cs.luc.edu/author/purvish-jajal/>Purvish Jajal</a></li><li><a href=https://ssl.cs.luc.edu/author/riley-clarkson/>Riley Clarkson</a></li><li><a href=https://ssl.cs.luc.edu/author/robert-g.-morrison/>Robert G. Morrison</a></li><li><a href=https://ssl.cs.luc.edu/author/rohan-sethi/>Rohan Sethi</a></li><li><a href=https://ssl.cs.luc.edu/author/sean-higgins/>Sean Higgins</a></li><li><a href=https://ssl.cs.luc.edu/author/shilpika/>Shilpika</a></li><li><a href=https://ssl.cs.luc.edu/author/silvio-rizzi/>Silvio Rizzi</a></li><li><a href=https://ssl.cs.luc.edu/author/sohini-thota/>Sohini Thota</a></li><li><a href=https://ssl.cs.luc.edu/author/sophie-von-hatton/>Sophie Von Hatton</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/30/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/32/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/32/index.html b/authors/page/32/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/authors/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=alternate href=/authors/index.xml type=application/rss+xml title="Software and Systems Laboratory"><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/authors/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/authors/"><meta property="og:title" content="Authors | Software and Systems Laboratory"><meta property="og:description" content="A highly-customizable Hugo research group theme powered by Wowchemy website builder."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="og:updated_time" content="2022-01-01T00:00:00+00:00"><title>Authors | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/vipin-chaudhary/>Vipin Chaudhary</a></li><li><a href=https://ssl.cs.luc.edu/author/wenxin-jiang/>Wenxin Jiang</a></li><li><a href=https://ssl.cs.luc.edu/author/xiao-yong-jin/>Xiao-Yong Jin</a></li><li><a href=https://ssl.cs.luc.edu/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></li><li><a href=https://ssl.cs.luc.edu/author/yvette-diaz/>Yvette Diaz</a></li><li><a href=https://ssl.cs.luc.edu/author/zachary-gallagher/>Zachary Gallagher</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/31/>&#171;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/stephanie-rodriguez/>Stephanie Rodriguez</a></li><li><a href=https://ssl.cs.luc.edu/author/thomas-papka/>Thomas Papka</a></li><li><a href=https://ssl.cs.luc.edu/author/trey-roche/>Trey Roche</a></li><li><a href=https://ssl.cs.luc.edu/author/venkatram-vishwanath/>Venkatram Vishwanath</a></li><li><a href=https://ssl.cs.luc.edu/author/vipin-chaudhary/>Vipin Chaudhary</a></li><li><a href=https://ssl.cs.luc.edu/author/wenxin-jiang/>Wenxin Jiang</a></li><li><a href=https://ssl.cs.luc.edu/author/xiao-yong-jin/>Xiao-Yong Jin</a></li><li><a href=https://ssl.cs.luc.edu/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></li><li><a href=https://ssl.cs.luc.edu/author/yvette-diaz/>Yvette Diaz</a></li><li><a href=https://ssl.cs.luc.edu/author/zachary-gallagher/>Zachary Gallagher</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/31/>&#171;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/4/index.html b/authors/page/4/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/akhil-chinnakotla/>Akhil Chinnakotla</a></li><li><a href=https://ssl.cs.luc.edu/author/andrew-liu/>Andrew Liu</a></li><li><a href=https://ssl.cs.luc.edu/author/ani-vegesana/>Ani Vegesana</a></li><li><a href=https://ssl.cs.luc.edu/author/aniesh-chawla/>Aniesh Chawla</a></li><li><a href=https://ssl.cs.luc.edu/author/gregory-j.-matthews/>Gregory J. Matthews</a></li><li><a href=https://ssl.cs.luc.edu/author/josh-majors/>Josh Majors</a></li><li><a href=https://ssl.cs.luc.edu/author/juliet-k.-brophy/>Juliet K. Brophy</a></li><li><a href=https://ssl.cs.luc.edu/author/karthik-bharath/>Karthik Bharath</a></li><li><a href=https://ssl.cs.luc.edu/author/kruthi-krishnappa/>Kruthi Krishnappa</a></li><li><a href=https://ssl.cs.luc.edu/author/ling-zhang/>Ling Zhang</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/3/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/5/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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\ No newline at end of file
diff --git a/authors/page/5/index.html b/authors/page/5/index.html
index b53de83..0dfe7ff 100644
--- a/authors/page/5/index.html
+++ b/authors/page/5/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/naveen-vivek/>Naveen Vivek</a></li><li><a href=https://ssl.cs.luc.edu/author/ofer-harel/>Ofer Harel</a></li><li><a href=https://ssl.cs.luc.edu/author/ryan-dailey/>Ryan Dailey</a></li><li><a href=https://ssl.cs.luc.edu/author/sebastian-kurtek/>Sebastian Kurtek</a></li><li><a href=https://ssl.cs.luc.edu/author/sripath-mishra/>Sripath Mishra</a></li><li><a href=https://ssl.cs.luc.edu/author/suman-banerjee/>Suman Banerjee</a></li><li><a href=https://ssl.cs.luc.edu/author/vishnu-banna/>Vishnu Banna</a></li><li><a href=https://ssl.cs.luc.edu/author/zhengxin-yan/>Zhengxin Yan</a></li><li><a href=https://ssl.cs.luc.edu/author/roopasree-naidu/>Roopasree Naidu</a></li><li><a href=https://ssl.cs.luc.edu/author/sara-aghajanzadeh/>Sara Aghajanzadeh</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/4/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/6/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/6/index.html b/authors/page/6/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/shuo-han-chen/>Shuo-Han Chen</a></li><li><a href=https://ssl.cs.luc.edu/author/dario-dematties/>Dario Dematties</a></li><li><a href=https://ssl.cs.luc.edu/author/silvio-b.-rizzi/>Silvio B. Rizzi</a></li><li><a href=https://ssl.cs.luc.edu/author/aditya-chakraborty/>Aditya Chakraborty</a></li><li><a href=https://ssl.cs.luc.edu/author/akshay-pawar/>Akshay Pawar</a></li><li><a href=https://ssl.cs.luc.edu/author/chen-shuo-han/>Chen Shuo-Han</a></li><li><a href=https://ssl.cs.luc.edu/author/hojoung-jang/>Hojoung Jang</a></li><li><a href=https://ssl.cs.luc.edu/author/shunqiao-huang/>Shunqiao Huang</a></li><li><a href=https://ssl.cs.luc.edu/author/yan-hao-chang/>Yan-Hao Chang</a></li><li><a href=https://ssl.cs.luc.edu/author/alejandro-wainselboim/>Alejandro Wainselboim</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/5/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/7/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/7/index.html b/authors/page/7/index.html
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diff --git a/authors/page/8/index.html b/authors/page/8/index.html
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Authors</h1></div><div class=universal-wrapper><ul><li><a href=https://ssl.cs.luc.edu/author/gore-kao/>Gore Kao</a></li><li><a href=https://ssl.cs.luc.edu/author/haobo-wang/>Haobo Wang</a></li><li><a href=https://ssl.cs.luc.edu/author/iryna-motyashok/>Iryna Motyashok</a></li><li><a href=https://ssl.cs.luc.edu/author/isha-ghodgaonkar/>Isha Ghodgaonkar</a></li><li><a href=https://ssl.cs.luc.edu/author/jean-luc-putter/>Jean-Luc Putter</a></li><li><a href=https://ssl.cs.luc.edu/author/jonathan-warkentin/>Jonathan Warkentin</a></li><li><a href=https://ssl.cs.luc.edu/author/kaiwen-yu/>Kaiwen Yu</a></li><li><a href=https://ssl.cs.luc.edu/author/kate-lee/>Kate Lee</a></li><li><a href=https://ssl.cs.luc.edu/author/konstantin-laufer/>Konstantin Läufer</a></li><li><a href=https://ssl.cs.luc.edu/author/linette-maliakal/>Linette Maliakal</a></li></ul><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/authors/page/7/>&#171;</a></li><li class=page-item><a class=page-link href=/authors/page/9/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/authors/page/9/index.html b/authors/page/9/index.html
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/categories/index.html b/categories/index.html
index 9ad7c8f..381ebb6 100644
--- a/categories/index.html
+++ b/categories/index.html
@@ -2,7 +2,7 @@
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><span class="js-widget-page d-none"></span><section id=welcome class="home-section wg-hero"><div class=home-section-bg></div><div class=container><div class=row><div class="col-12 col-md-6 text-center text-md-left"><h1 class=hero-title>Software and Systems Laboratory</h1><div class=hero-lead><br><p>The Software and Systems Laboratory (SSL) fosters innovation by encouraging experimentation and collaboration with a strong emphasis on openness.</p></div></div><div class="col-12 mx-auto col-md-6 hero-media"><img src=/home/ssl_huf0938eb09bf84feac96222c214f86260_27231_400x0_resize_q75_lanczos.jpeg srcset="/home/ssl_huf0938eb09bf84feac96222c214f86260_27231_1200x0_resize_q75_lanczos.jpeg 1200w,/home/ssl_huf0938eb09bf84feac96222c214f86260_27231_800x0_resize_q75_lanczos.jpeg 800w,/home/ssl_huf0938eb09bf84feac96222c214f86260_27231_400x0_resize_q75_lanczos.jpeg 400w" width=400 height=400 alt="Software and Systems Laboratory"></div></div></div></section><section id=helloWorld class="home-section wg-blank"><div class=home-section-bg></div><div class=container><div class=row><div class="section-heading col-12 col-lg-4 mb-3 mb-lg-0 d-flex flex-column align-items-center align-items-lg-start"><h1 class=mb-0>Hello World</h1></div><div class="col-12 col-lg-8"><p>Thank you for checking out the Software and Systems Laboratory (SSL) website. We are a (partially virtual) research laboratory based out of the <a href=https://www.luc.edu/cs/ target=_blank rel=noopener>Computer Science Department</a> at <a href=https://luc.edu/ target=_blank rel=noopener>Loyola University Chicago</a>.</p><p>Our members form an interdisciplinary group with faculty and student interests in Computer Science, Software Engineering, Information Technology, Cyber Security, and Engineering.</p><p>The laboratory’s focus is on researching computer systems and applied Software Engineering to solve STEAM-related problems.</p></div></div></div></section><section id=methodology class="home-section wg-blank"><div class=home-section-bg></div><div class=container><div class=row><div class="section-heading col-12 col-lg-4 mb-3 mb-lg-0 d-flex flex-column align-items-center align-items-lg-start"><h1 class=mb-0>Methodology</h1></div><div class="col-12 col-lg-8"><p>We foster innovation by encouraging experimentation and collaboration with a strong emphasis on openness. To uphold this commitment, we enforce <a href=https://github.com/SoftwareSystemsLaboratory target=_blank rel=noopener>open-source software development</a>, open access, and dissemination of research software by creating reproducible results within all of our projects.</p><p>SSL embraces the notion that diversity drives creativity and innovation. We follow the principles of the <a href=http://stcbp.org/ target=_blank rel=noopener>IEEE Special Technical Community on Broadening Participation</a> allowing anyone regardless of gender, race, ethnicity, socio-economic status, physical, mental, and cognitive ability, or LGBTQA+ status to join our lab.</p></div></div></div></section><section id=apply class="home-section wg-blank"><div class=home-section-bg></div><div class=container><div class=row><div class="section-heading col-12 col-lg-4 mb-3 mb-lg-0 d-flex flex-column align-items-center align-items-lg-start"><h1 class=mb-0>Apply</h1></div><div class="col-12 col-lg-8"><p>While we are based at <a href=https://luc.edu target=_blank rel=noopener>Loyola University Chicago</a>, and we welcome anyone interested in using emerging technologies and software engineering to solve problems.</p><p>To learn more about how to apply, please reach out to <a href=mailto:ssl.cs.luc.edu>ssl@cs.luc.edu</a>.</p></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Jiang","type":"authors"},{"authors":["XiaoYongJin"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"aad418f74bf92b89cee2451a2033cf99","permalink":"https://ssl.cs.luc.edu/author/xiao-yong-jin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/xiao-yong-jin/","section":"authors","summary":"","tags":null,"title":"Xiao-Yong Jin","type":"authors"},{"authors":["YungHsiangLu"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c01e4828affad94b09b37d5729f5ed65","permalink":"https://ssl.cs.luc.edu/author/yung-hsiang-lu/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/yung-hsiang-lu/","section":"authors","summary":"","tags":null,"title":"Yung-Hsiang Lu","type":"authors"},{"authors":["YvetteDiaz"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"7a2e4ea53f4aa4cb019bbd3eed0f5a9d","permalink":"https://ssl.cs.luc.edu/author/yvette-diaz/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/yvette-diaz/","section":"authors","summary":"","tags":null,"title":"Yvette Diaz","type":"authors"},{"authors":["ZacharyGallagher"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"5932385151589aca14f85655d3a250f1","permalink":"https://ssl.cs.luc.edu/author/zachary-gallagher/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/zachary-gallagher/","section":"authors","summary":"","tags":null,"title":"Zachary Gallagher","type":"authors"},{"authors":["Wenxin Jiang","Nicholas Synovic","Rohan Sethi","Aryan Indarapu","Matt Hyatt","Taylor R. Schorlemmer","George K. Thiruvathukal","James C. Davis"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"86e8e7cb10925e8c4c8401bc5633bc97","permalink":"https://ssl.cs.luc.edu/publication/jiang-empirical-2022/","publishdate":"2023-02-09T18:57:30.57661Z","relpermalink":"/publication/jiang-empirical-2022/","section":"publication","summary":"Deep neural networks achieve state-of-the-art performance on many tasks, but require increasingly complex architectures and costly training procedures. Engineers can reduce costs by reusing a pre-trained model (PTM) and fine-tuning it for their own tasks. To facilitate software reuse, engineers collaborate around model hubs, collections of PTMs and datasets organized by problem domain. Although model hubs are now comparable in popularity and size to other software ecosystems, the associated PTM supply chain has not yet been examined from a software engineering perspective. We present an empirical study of artifacts and security features in 8 model hubs. We indicate the potential threat models and show that the existing defenses are insufficient for ensuring the security of PTMs. We compare PTM and traditional supply chains, and propose directions for further measurements and tools to increase the reliability of the PTM supply chain.","tags":["Machine learning","Empirical software engineering","Deep neural networks","Model hubs","Software reuse","Software supply chain"],"title":"An Empirical Study of Artifacts and Security Risks in the Pre-Trained Model Supply Chain","type":"publication"},{"authors":["Yucheng Yang","Jack West","George K. Thiruvathukal","Neil Klingensmith","Kassem Fawaz"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"c255dfae60004ab8c8519400ca359e8d","permalink":"https://ssl.cs.luc.edu/publication/yang-are-2022/","publishdate":"2023-02-09T18:57:30.023596Z","relpermalink":"/publication/yang-are-2022/","section":"publication","summary":"","tags":[],"title":"Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Nick Eliopoulos","Xiao Hu","George K. Thiruvathukal","James C. Davis","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"919cd03cdf9772df26be2133362eefb7","permalink":"https://ssl.cs.luc.edu/publication/goel-directed-2022/","publishdate":"2023-02-09T18:57:30.200335Z","relpermalink":"/publication/goel-directed-2022/","section":"publication","summary":"Processing visual data on mobile devices has many applications, e.g., emergency response and tracking. State-of-the-art computer vision techniques rely on large Deep Neural Networks (DNNs) that are usually too power-hungry to be deployed on resource-constrained edge devices. Many techniques improve DNN efficiency of DNNs by compromising accuracy. However, the accuracy and efficiency of these techniques cannot be adapted for diverse edge applications with different hardware constraints and accuracy requirements. This paper demonstrates that a recent, efficient tree-based DNN architecture, called the hierarchical DNN, can be converted into a Directed Acyclic Graph-based (DAG) architecture to provide tunable accuracy-efficiency tradeoff options. We propose a systematic method that identifies the connections that must be added to convert the tree to a DAG to improve accuracy. We conduct experiments on popular edge devices and show that increasing the connectivity of the DAG improves the accuracy to within 1% of the existing high accuracy techniques. Our approach requires 93% less memory, 43% less energy, and 49% fewer operations than the high accuracy techniques, thus providing more accuracy-efficiency configurations.","tags":[],"title":"Directed Acyclic Graph-Based Neural Networks for Tunable Low-Power Computer Vision","type":"publication"},{"authors":["George K. Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"0ed05939c6094062216e37e78fededeb","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-efficient-2022/","publishdate":"2023-02-09T18:57:39.119591Z","relpermalink":"/publication/thiruvathukal-efficient-2022/","section":"publication","summary":"","tags":[],"title":"Efficient Computer Vision for Embedded Systems","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Xiao Hu","George K. Thiruvathukal","James C. Davis","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"27e81a195afb1092f4bc56fb369cdd96","permalink":"https://ssl.cs.luc.edu/publication/goel-efficient-2022/","publishdate":"2023-02-09T18:57:30.383658Z","relpermalink":"/publication/goel-efficient-2022/","section":"publication","summary":"Computer vision on low-power edge devices enables applications including search-and-rescue and security. State-of-the-art computer vision algorithms, such as Deep Neural Networks (DNNs), are too large for inference on low-power edge devices. To improve efficiency, some existing approaches parallelize DNN inference across multiple edge devices. However, these techniques introduce significant communication and synchronization overheads or are unable to balance workloads across devices. This paper demonstrates that the hierarchical DNN architecture is well suited for parallel processing on multiple edge devices. We design a novel method that creates a parallel inference pipeline for computer vision problems that use hierarchical DNNs. The method balances loads across the collaborating devices and reduces communication costs to facilitate the processing of multiple video frames simultaneously with higher throughput. Our experiments consider a representative computer vision problem where image recognition is performed on each video frame, running on multiple Raspberry Pi 4Bs. With four collaborating low-power edge devices, our approach achieves 3.21X higher throughput, 68% less energy consumption per device per frame, and 58% decrease in memory when compared with existing single-device hierarchical DNNs.","tags":[],"title":"Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks","type":"publication"},{"authors":["Jakob Veselsky","Jack West","Isaac Ahlgren","George K. Thiruvathukal","Neil Klingensmith","Abhinav Goel","Wenxin Jiang","James C. Davis","Kyuin Lee","Younghyun Kim"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969068,"objectID":"40caac2240089f17ba651e4b581f2d67","permalink":"https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/","publishdate":"2023-02-09T18:57:48.2949Z","relpermalink":"/publication/veselsky-establishing-2022-1/","section":"publication","summary":"As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing before deployment, AV systems are not perfect at identifying hazards in the roadway. Although a particular AV’s sensors and software may not be 100% accurate at identifying hazards, there is an untapped pool of information held by other AVs in the vicinity that could be used to quickly and accurately identify roadway hazards before they present a safety threat.","tags":[],"title":"Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach","type":"publication"},{"authors":["Jakob Veselsky","Jack West","Isaac Ahlgren","George K. Thiruvathukal","Neil Klingensmith","Abhinav Goel","Wenxin Jiang","James C. Davis","Kyuin Lee","Younghyun Kim"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969068,"objectID":"5b113f2ceda892a7d928181f6bf9990e","permalink":"https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/","publishdate":"2023-02-09T18:57:48.120455Z","relpermalink":"/publication/veselsky-establishing-2022/","section":"publication","summary":"As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing before deployment, AV systems are not perfect at identifying hazards in the roadway. Although a particular AV’s sensors and software may not be 100 percent accurate at identifying hazards, there is an untapped pool of information held by other AVs in the vicinity that could be used to quickly and accurately identify roadway hazards before they present a safety threat.","tags":[],"title":"Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach","type":"publication"},{"authors":["Caleb Tung","Abhinav Goel","Xiao Hu","Nick Eliopoulos","Emmanuel S. Amobi","George K. Thiruvathukal","Vipin Chaudhary","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"079667a815178fc9cc7bc1ff466bfdac","permalink":"https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/","publishdate":"2023-02-09T18:57:29.827361Z","relpermalink":"/publication/tung-irrelevant-2022/","section":"publication","summary":"","tags":[],"title":"Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision","type":"publication"},{"authors":["George K. Thiruvathukal","Yung-Hsiang Lu","Jaeyoun Kim","Yiran Chen","Bo Chen"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969049,"objectID":"54266ea0a79af9d5f3af5da131343d3e","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-low-power-2022/","publishdate":"2023-02-09T18:57:29.165091Z","relpermalink":"/publication/thiruvathukal-low-power-2022/","section":"publication","summary":"Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.","tags":[],"title":"Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Nick Eliopoulos","Amy Wang","James C. Davis","George K. Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"32326df0748a9368ad9daa71e11d895d","permalink":"https://ssl.cs.luc.edu/publication/goel-tree-based-2022/","publishdate":"2023-02-09T18:57:38.897946Z","relpermalink":"/publication/goel-tree-based-2022/","section":"publication","summary":"","tags":[],"title":"Tree-based Unidirectional Neural Networks for Low-Power Computer Vision","type":"publication"},{"authors":["Caleb Tung","Abhinav Goel","Fischer Bordwell","Nick Eliopoulos","Xiao Hu","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"83bae74dcaf2c63c91c82512db848735","permalink":"https://ssl.cs.luc.edu/publication/tung-why-2022/","publishdate":"2023-02-09T18:57:38.543869Z","relpermalink":"/publication/tung-why-2022/","section":"publication","summary":"","tags":[],"title":"Why Accuracy is Not Enough: The Need for Consistency in Object Detection","type":"publication"},{"authors":["Caleb Tung","Abhinav Goel","Fischer Bordwell","Nick John Eliopoulos","Xiao Hu","George K Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"629c63005b56696146a928320620892c","permalink":"https://ssl.cs.luc.edu/publication/tung-why-2022-1/","publishdate":"2023-02-09T18:57:38.723365Z","relpermalink":"/publication/tung-why-2022-1/","section":"publication","summary":"","tags":[],"title":"Why Accuracy Is Not Enough: The Need for Consistency in Object Detection","type":"publication"},{"authors":["Vishnu Banna","Akhil Chinnakotla","Zhengxin Yan","Ani Vegesana","Naveen Vivek","Kruthi Krishnappa","Wenxin Jiang","Yung-Hsiang Lu","George K. Thiruvathukal","James C. Davis"],"categories":[],"content":"","date":1609459200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969068,"objectID":"7e9d159121914984e5d50fe657d8a052","permalink":"https://ssl.cs.luc.edu/publication/banna-experience-2021/","publishdate":"2023-02-09T18:57:48.657911Z","relpermalink":"/publication/banna-experience-2021/","section":"publication","summary":"Machine learning techniques are becoming a fundamental tool for scientific and engineering progress. These techniques are applied in contexts as diverse as astronomy and spam filtering. However, correctly applying these techniques requires careful engineering. Much attention has been paid to the technical potential; relatively little attention has been paid to the software engineering process required to bring research-based machine learning techniques into practical utility. Technology companies have supported the engineering community through machine learning frameworks such as TensorFLow and PyTorch, but the details of how to engineer complex machine learning models in these frameworks have remained hidden. To promote best practices within the engineering community, academic institutions and Google have partnered to launch a Special Interest Group on Machine Learning Models (SIGMODELS) whose goal is to develop exemplary implementations of prominent machine learning models in community locations such as the TensorFlow Model Garden (TFMG). The purpose of this report is to define a process for reproducing a state-of-the-art machine learning model at a level of quality suitable for inclusion in the TFMG. We define the engineering process and elaborate on each step, from paper analysis to model release. We report on our experiences implementing the YOLO model family with a team of 26 student researchers, share the tools we developed, and describe the lessons we learned along the way.","tags":[],"title":"An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors","type":"publication"},{"authors":["Ryan Dailey","Aniesh Chawla","Andrew Liu","Sripath Mishra","Ling Zhang","Josh Majors","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1609459200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"fb39c476124cf72a45c4ac0aff33d7ba","permalink":"https://ssl.cs.luc.edu/publication/dailey-automated-2021/","publishdate":"2023-02-09T18:57:36.739741Z","relpermalink":"/publication/dailey-automated-2021/","section":"publication","summary":"Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks. Network cameras offer real-time visual data that can be used for studying traffic patterns, emergency response, security, and other applications. Although many sources of Network Camera data are available, collecting the data remains difficult due to variations in programming interface and website structures. Previous solutions rely on manually parsing the target website, taking many hours to complete. We create a general and automated solution for aggregating Network Camera data spread across thousands of uniquely structured webpages. We analyze heterogeneous webpage structures and identify common characteristics among 73 sample Network Camera websites (each website has multiple web pages). These characteristics are then used to build an automated camera discovery module that crawls and aggregates Network Camera data. Our system successfully extracts 57,364 Network Cameras from 237,257 unique web pages.","tags":[],"title":"Automated Discovery of Network Cameras inHeterogeneous Web Pages","type":"publication"},{"authors":["Jack West","Kyuin Lee","Suman Banerjee","Younghyun Kim","George K. Thiruvathukal","Neil Klingensmith"],"categories":[],"content":"","date":1609459200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"ec8ca5b4d642e0825823abdc29000088","permalink":"https://ssl.cs.luc.edu/publication/west-moonshine-2021/","publishdate":"2023-02-09T18:57:30.741173Z","relpermalink":"/publication/west-moonshine-2021/","section":"publication","summary":"Context-based authentication is a method for transparently validating another device's legitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no user involvement. However, there are gaps in our understanding of the theoretical limitations of environmental noise harvesting, making it difficult for researchers to build efficient algorithms for sampling environmental noise and distilling keys from that noise. This work explores the information-theoretic capacity of context-based authentication mechanisms to generate random bit strings from environmental noise sources with known properties. Using only mild assumptions about the source process's characteristics, we demonstrate that commonly-used bit extraction algorithms extract only about 10% of the available randomness from a source noise process. We present an efficient algorithm to improve the quality of keys generated by context-based methods and evaluate it on real key extraction hardware. Moonshine is a randomness distiller which is more efficient at extracting bits from an environmental entropy source than existing methods. Our techniques nearly double the quality of keys as measured by the NIST test suite, producing keys that can be used in real-world authentication scenarios.","tags":[],"title":"Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication","type":"publication"},{"authors":["Gregory J. Matthews","Karthik Bharath","Sebastian Kurtek","Juliet K. Brophy","George K. Thiruvathukal","Ofer Harel"],"categories":[],"content":"","date":1609459200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"fbf4064f1ef874eda212472fa32238d6","permalink":"https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/","publishdate":"2023-02-09T18:57:36.561443Z","relpermalink":"/publication/matthews-shape-based-2021/","section":"publication","summary":"We consider the problem of classifying curves when they are observed only partially on their parameter domains. We propose computational methods for (i) completion of partially observed curves; (ii) assessment of completion variability through a nonparametric multiple imputation procedure; (iii) development of nearest neighbor classifiers compatible with the completion techniques. Our contributions are founded on exploiting the geometric notion of shape of a curve, defined as those aspects of a curve that remain unchanged under translations, rotations and reparameterizations. Explicit incorporation of shape information into the computational methods plays the dual role of limiting the set of all possible completions of a curve to those with similar shape while simultaneously enabling more efficient use of training data in the classifier through shape-informed neighborhoods. Our methods are then used for taxonomic classification of partially observed curves arising from images of fossilized Bovidae teeth, obtained from a novel anthropological application concerning paleoenvironmental reconstruction.","tags":[],"title":"Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology","type":"publication"},{"authors":["Sara Aghajanzadeh","Roopasree Naidu","Shuo-Han Chen","Caleb Tung","Abhinav Goel","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1601510400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"1b189ead28a46644ce853c2af19b19d5","permalink":"https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/","publishdate":"2023-02-09T18:57:31.680194Z","relpermalink":"/publication/aghajanzadeh-camera-2020/","section":"publication","summary":"In the blooming era of smart edge devices, surveillance cameras have been deployed in many locations. Surveillance cameras are most useful when they are spaced out to maximize coverage of an area. However, deciding where to place cameras is an NP-hard problem and researchers have proposed heuristic solutions. Existing work does not consider a significant restriction of computer vision: in order to track a moving object, the object must occupy enough pixels. The number of pixels depends on many factors (How far away is the object? What is the camera resolution? What is the focal length?). In this study, we propose a camera placement method that identifies effective camera placement in arbitrary spaces and can account for different camera types as well. Our strategy represents spaces as polygons, then uses a greedy algorithm to partition the polygons and determine the cameras’ locations to provide the desired coverage. Our solution also makes it possible to perform object tracking via overlapping camera placement. Our method is evaluated against complex shapes and real-world museum floor plans, achieving up to 85% coverage and 25% overlap.","tags":[],"title":"Camera Placement Meeting Restrictions of Computer Vision","type":"publication"},{"authors":["Dario Dematties","Silvio B. Rizzi","George K. Thiruvathukal"],"categories":[],"content":"","date":159624e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"636958adab92736c4df886599217be38","permalink":"https://ssl.cs.luc.edu/publication/dematties-towards-2020-1/","publishdate":"2023-02-09T18:57:36.91086Z","relpermalink":"/publication/dematties-towards-2020-1/","section":"publication","summary":"Presentation at CyberColombia's Third HPC Summer School: Bio and Data Science Part 1 describes our work on developing a neurocomputational model inspired in specific features found in the mammalian cortex. Part 2 describes our software development efforts to build an HPC version of our work aimed at scalability on leadership class supercomputers, including a discussion of our strong and weak scaling results to date. Part 3 describes our efforts with software engineering and reproducibilty with a discussion of best practices for working with open source and hosting code, datasets, and analyses.","tags":[],"title":"Towards High-End Scalability on Bio-Inspired Computational Models","type":"publication"},{"authors":["Aditya Chakraborty","Akshay Pawar","Hojoung Jang","Shunqiao Huang","Sripath Mishra","Chen Shuo-Han","Yan-Hao Chang","George K. Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1593561600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"759d6718c3e28ff48dd0f40800f7cbdd","permalink":"https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/","publishdate":"2023-02-09T18:57:31.491904Z","relpermalink":"/publication/chakraborty-real-time-2020/","section":"publication","summary":"Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The feature-based indexing technique provides an effective way for users to search video content through visual features, such as object categories (e.g., cars and persons). However, due to the reliance on offline processing, video streams along with their captured features cannot be searchable immediately after video streams are recorded. According to our investigation, buffering and storing live video steams are more time-consuming than the YOLO v3 object detector. Such observation motivates us to propose a real-time feature indexing (RTFI) system to enable instantaneous feature-based indexing on live video streams after video streams are captured and processed through object detectors. RTFI achieves its real-time goal via incorporating the novel design of metadata structure and data placement, the capability of modern object detector (i.e., YOLO v3), and the deduplication techniques to avoid storing repetitive video content. Notably, RTFI is the first system design for realizing real-time feature-based indexing on live video streams. RTFI is implemented on a Linux server and can improve the system throughput by upto 10.60x, compared with the base system without the proposed design. In addition, RTFI is able to make the video content searchable within 20 milliseconds for 10 live video streams after the video content is received by the proposed system, excluding the network transfer latency.","tags":[],"title":"A Real-Time Feature Indexing System on Live Video Streams","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1590969600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"3adb3c145c9dc83643a7309dc3acdba4","permalink":"https://ssl.cs.luc.edu/publication/goel-survey-2020/","publishdate":"2023-02-09T18:57:31.282315Z","relpermalink":"/publication/goel-survey-2020/","section":"publication","summary":"Deep neural networks (DNNs) are successful in many computer vision tasks. However, the most accurate DNNs require millions of parameters and operations, making them energy, computation and memory intensive. This impedes the deployment of large DNNs in low-power devices with limited compute resources. Recent research improves DNN models by reducing the memory requirement, energy consumption, and number of operations without significantly decreasing the accuracy. This paper surveys the progress of low-power deep learning and computer vision, specifically in regards to inference, and discusses the methods for compacting and accelerating DNN models. The techniques can be divided into four major categories: (1) parameter quantization and pruning, (2) compressed convolutional filters and matrix factorization, (3) network architecture search, and (4) knowledge distillation. We analyze the accuracy, advantages, disadvantages, and potential solutions to the problems with the techniques in each category. We also discuss new evaluation metrics as a guideline for future research.","tags":[],"title":"A Survey of Methods for Low-Power Deep Learning and Computer Vision","type":"publication"},{"authors":["Jack West","Neil Klingensmith","George K. Thiruvathukal"],"categories":[],"content":"","date":1585699200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"47bf0beab44920e487766eb065a74f36","permalink":"https://ssl.cs.luc.edu/publication/west-flic-2020/","publishdate":"2023-02-09T18:57:31.852129Z","relpermalink":"/publication/west-flic-2020/","section":"publication","summary":"We present FLIC, a distributed software data caching framework for fogs that reduces network traffic and latency. FLIC is targeted toward city-scale deployments of cooperative IoT devices in which each node gathers and shares data with surrounding devices. As machine learning and other data processing techniques that require large volumes of training data are ported to low-cost and low-power IoT systems, we expect that data analysis will be moved away from the cloud. Separation from the cloud will reduce reliance on power-hungry centralized cloud-based infrastructure. However, city-scale deployments of cooperative IoT devices often connect to the Internet with cellular service, in which service charges are proportional to network usage. IoT system architects must be clever in order to keep costs down in these scenarios. To reduce the network bandwidth required to operate city-scale deployments of cooperative IoT systems, FLIC implements a distributed cache on the IoT nodes in the fog. FLIC allows the IoT network to share its data without repetitively interacting with a simple cloud storage service, reducing calls out to a backing store. Our results displayed a less than 2% miss rate on reads. Thus, allowing for only 5% of requests needing the backing store. We were also able to achieve more than 50% reduction in bytes transmitted per second.","tags":[],"title":"FLIC: A Distributed Fog Cache for City-Scale Applications","type":"publication"},{"authors":["Dario Dematties","Silvio Rizzi","George K. Thiruvathukal","Mauricio David Pérez","Alejandro Wainselboim","B. Silvano Zanutto"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"78f5f4ae94cabc6dbb3f78c2c5ef361c","permalink":"https://ssl.cs.luc.edu/publication/dematties-computational-2020/","publishdate":"2023-02-09T18:57:37.139654Z","relpermalink":"/publication/dematties-computational-2020/","section":"publication","summary":"A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational bases of this phenomenon, we argue that these theories could potentially benefit by including neurophysiological data concerning cortical dynamics constraints in brain tissue. In addition, some theories promote the integration of complex optimization methods in neural tissue. In this paper we attempt to fill these gaps introducing a computational model inspired in the dynamics of cortical tissue. In our modeling approach, proximal afferent dendrites produce stochastic cellular activations, while distal dendritic branches–on the other hand–contribute independently to somatic depolarization by means of dendritic spikes, and finally, prediction failures produce massive firing events preventing formation of sparse distributed representations. The model presented in this paper combines semantic and coarse-grained syntactic constraints for each word in a sentence context until grammatically related word function discrimination emerges spontaneously by the sole correlation of lexical information from different sources without applying complex optimization methods. By means of support vector machine techniques, we show that the sparse activation features returned by our approach are well suited—bootstrapping from the features returned by Word Embedding mechanisms—to accomplish grammatical function classification of individual words in a sentence. In this way we develop a biologically guided computational explanation for linguistically relevant unification processes in cortex which connects psycholinguistics to neurobiological accounts of language. We also claim that the computational hypotheses established in this research could foster future work on biologically-inspired learning algorithms for natural language processing applications.","tags":[],"title":"A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics","type":"publication"},{"authors":["Brook Abegaz","Eric Chan-Tin","Neil Klingensmith","George K. Thiruvathukal"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"53117bccfd97bd76fa082389051c02d0","permalink":"https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/","publishdate":"2023-02-09T18:57:30.923957Z","relpermalink":"/publication/abegaz-addressing-2020/","section":"publication","summary":"In this paper, we address the detection of rogue autonomous vehicles using an integrated approach involving computer vision, activity monitoring and contextual information. The proposed approach can be used to detect rogue autonomous vehicles using sensors installed on observer vehicles that are used to monitor and identify the behavior of other autonomous vehicles operating on the road. The safe braking distance and the safe following time are computed to identify if an autonomous vehicle is behaving properly. Our preliminary results show that there is a wide variation in both the safe following time and the safe braking distance recorded using three autonomous vehicles in a test-bed. These initial results show significant progress for the future efforts to coordinate the operation of autonomous, semi-autonomous and non-autonomous vehicles.","tags":[],"title":"Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information","type":"publication"},{"authors":["Xiao Hu","Haobo Wang","Anirudh Vegesana","Somesh Dube","Kaiwen Yu","Gore Kao","Shuo-Han Chen","Yung-Hsiang Lu","George K. Thiruvathukal","Ming Yin"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"572116e0bd1a54d8aef95cd9db4b5bc9","permalink":"https://ssl.cs.luc.edu/publication/hu-crowdsourcing-2020/","publishdate":"2023-02-09T18:57:32.231665Z","relpermalink":"/publication/hu-crowdsourcing-2020/","section":"publication","summary":"Despite many exciting innovations in computer vision, recent studies reveal a number of risks in existing computer vision systems, suggesting results of such systems may be unfair and untrustworthy. Many of these risks can be partly attributed to the use of a training image dataset that exhibits sampling biases and thus does not accurately reflect the real visual world. Being able to detect potential sampling biases in the visual dataset prior to model development is thus essential for mitigating the fairness and trustworthy concerns in computer vision. In this paper, we propose a three-step crowdsourcing workflow to get humans into the loop for facilitating bias discovery in image datasets. Through two sets of evaluation studies, we find that the proposed workflow can effectively organize the crowd to detect sampling biases in both datasets that are artificially created with designed biases and real-world image datasets that are widely used in computer vision research and system development.","tags":[],"title":"Crowdsourcing Detection of Sampling Biases in Image Datasets","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Sara Aghajanzadeh","Isha Ghodgaonkar","Shreya Ghosh","George K. Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"409ade8cfa6cda6bfea617ed94c0de76","permalink":"https://ssl.cs.luc.edu/publication/goel-low-power-2020/","publishdate":"2023-02-09T18:57:32.062422Z","relpermalink":"/publication/goel-low-power-2020/","section":"publication","summary":"Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in many computer vision tasks, such as object counting. Object counting takes two inputs: an image and an object query and reports the number of occurrences of the queried object. To achieve high accuracy, DNNs require billions of operations, making them difficult to deploy on resource-constrained, low-power devices. Prior work shows that a significant number of DNN operations are redundant and can be eliminated without affecting the accuracy. To reduce these redundancies, we propose a hierarchical DNN architecture for object counting. This architecture uses a Region Proposal Network (RPN) to propose regions-of-interest (RoIs) that may contain the queried objects. A hierarchical classifier then efficiently finds the RoIs that actually contain the queried objects. The hierarchy contains groups of visually similar object categories. Small DNNs at each node of the hierarchy classify between these groups. The RoIs are incrementally processed by the hierarchical classifier. If the object in an RoI is in the same group as the queried object, then the next DNN in the hierarchy processes the RoI further; otherwise, the RoI is discarded. By using a few small DNNs to process each image, this method reduces the memory requirement, inference time, energy consumption, and number of operations with negligible accuracy loss when compared with the existing techniques.","tags":[],"title":"Low-Power Object Counting with Hierarchical Neural Networks","type":"publication"},{"authors":["Isha Ghodgaonkar","Abhinav Goel","Fischer Bordwell","Caleb Tung","Sara Aghajanzadeh","Noah Curran","Ryan Chen","Kaiwen Yu","Sneha Mahapatra","Vishnu Banna","Gore Kao","Kate Lee","Xiao Hu","Nick Eliopolous","Akhil Chinnakotla","Damini Rijhwani","Ashley Kim","Aditya Chakraborty","Mark Daniel Ward","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969069,"objectID":"0cd417d67e494fdcf0aa2dc3a8170529","permalink":"https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/","publishdate":"2023-02-09T18:57:49.130662Z","relpermalink":"/publication/ghodgaonkar-observing-2020/","section":"publication","summary":"COVID-19 has resulted in a worldwide pandemic, leading to \\\"lockdown\\\" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observing these historical events are difficult because sending reporters to areas with many infected people can put the reporters' lives in danger. New technologies are needed for safely observing responses to these policies. This paper reports using thousands of network cameras deployed worldwide for the purpose of witnessing activities in response to the policies. The network cameras can continuously provide real-time visual data (image and video) without human efforts. Thus, network cameras can be utilized to observe activities without risking the lives of reporters. This paper describes a project that uses network cameras to observe responses to governments' policies during the COVID-19 pandemic (March to April in 2020). The project discovers over 30,000 network cameras deployed in 110 countries. A set of computer tools are created to collect visual data from network cameras continuously during the pandemic. This paper describes the methods to discover network cameras on the Internet, the methods to collect and manage data, and preliminary results of data analysis. This project can be the foundation for observing the possible \\\"second wave\\\" in fall 2020. The data may be used for post-pandemic analysis by sociologists, public health experts, and meteorologists.","tags":[],"title":"Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras","type":"publication"},{"authors":["Allan Miller","George K. Thiruvathukal","Konstantin Läufer","Emmanuel Amobi","Sean Higgins","Linette Maliakal","Emily Meister","Jean-Luc Putter","Alex Rose","Nicholas Synovic","Sophie Von Hatten","Jonathan Warkentin","Martin Zugschwert"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969066,"objectID":"d72618ae727223d5dae321802a313539","permalink":"https://ssl.cs.luc.edu/publication/miller-toward-2020/","publishdate":"2023-02-09T18:57:45.806059Z","relpermalink":"/publication/miller-toward-2020/","section":"publication","summary":"Trust in open-source software is a cornerstone of scientific progress and a foundation of high-quality public services. Just as standards are integral when judging the efficacy of a novel pharmaceutical compound or determining the spread of a new disease, the software used to make those determinations should be useful, error-free, reliable, performant, and secure. A small bug in an application, library, or framework can lead to economic loss and even loss of life. We rely on software developers to be dynamic and responsive to user review and bug-reporting. Our team developed an open-source modular pipeline to perform empirical investigations of software quality. A key innovation of our approach is to look at projects “from a distance” similar to methods used in climate, e.g. satellite images being used to observe environmental impacts in air quality/rain forests. Instead of looking at language-specific source code features, our pipeline uses a language-agnostic high-level approach to track software quality by focusing on the development process itself, which yields great insight into the processes programmers use to write and maintain their software. Our distributed modular approach to analytics allows the pipeline to be easily extended to support additional metrics in future work. We store extracted data in an embedded SQLite database, which means that analysis can proceed without complex server setup, let alone hosting the software on dedicated servers. Our analytical modules are designed for efficiency, and future runs of our software only collect missing data, supporting the incremental analysis of known, important open-source projects.","tags":[],"title":"Toward a containerized pipeline for longitudinal analysis of open-source software projects","type":"publication"},{"authors":["Dario Dematties","George K. Thiruvathukal","Silvio B. Rizzi","Alejandro Wainselboim","B. Silvano Zanutto"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"632146fce32ebdb2f4c5557d5bb4c508","permalink":"https://ssl.cs.luc.edu/publication/dematties-towards-2020/","publishdate":"2023-02-09T18:57:31.113211Z","relpermalink":"/publication/dematties-towards-2020/","section":"publication","summary":"The interdisciplinary field of neuroscience has made significantprogress in recent decades, providing the scientific community in gen-eral with a new level of understanding on how the brain works beyondthe store-and-fire model found in traditional neural networks. Mean-while, Machine Learning (ML) based on established models has seena surge of interest in the High Performance Computing (HPC) com-munity, especially through the use of high-end accelerators, such asGraphical Processing Units (GPUs), including HPC clusters of same.In our work, we are motivated to exploit these high-performance com-puting developments and understand the scaling challenges for new–biologically inspired–learning models on leadership-class HPC resources.These emerging models feature sparse and random connectivity pro-files that map to more loosely-coupled parallel architectures with alarge number of CPU cores per node. Contrasted with traditional MLcodes, these methods exploit loosely-coupled sparse data structures asopposed to tightly-coupled dense matrix computations, which benefitfrom SIMD-style parallelism found on GPUs. In this paper we introducea hybrid Message Passing Interface (MPI) and Open Multi-Processing(OpenMP) parallelization scheme to accelerate and scale our computa-tional model based on the dynamics of cortical tissue. We ran compu-tational tests on a leadership class visualization and analysis cluster atArgonne National Laboratory. We include a study of strong and weakscaling, where we obtained parallel efficiency measures with a minimumabove 87% and a maximum above 97% for simulations of our biologicallyinspired neural network on up to 64 computing nodes running 8 threadseach. This study shows promise of the MPI+OpenMP hybrid approachto support flexible and biologically-inspired computational experimen-tal scenarios. In addition, we present the viability in the application ofthese strategies in high-end leadership computers in the future.","tags":[],"title":"Towards High-End Scalability on Biologically-Inspired Computational ModelsAuthors","type":"publication"},{"authors":["Jack West","Tien VoNguyen","Isaac Ahlgren","Iryna Motyashok","George K. Thiruvathukal","Neil Klingensmith"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969069,"objectID":"3843c45d2c73d0617d56be78dc0039cb","permalink":"https://ssl.cs.luc.edu/publication/west-voltkey-2020/","publishdate":"2023-02-09T18:57:48.852694Z","relpermalink":"/publication/west-voltkey-2020/","section":"publication","summary":"","tags":[],"title":"VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract)","type":"publication"},{"authors":["Ronald I. Greenberg","George K. Thiruvathukal"],"categories":[],"content":"","date":1569888e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"4c51f2e947c4d6eb188466cc99faaaff","permalink":"https://ssl.cs.luc.edu/publication/greenberg-exercises-2019/","publishdate":"2023-02-09T18:57:32.786769Z","relpermalink":"/publication/greenberg-exercises-2019/","section":"publication","summary":"This Innovative Practice Work in Progress presents progress in developing exercises for high school students incorporating level-appropriate mathematics into robotics activities. We assume mathematical foundations ranging from algebra to precalculus, whereas most prior work on integrating mathematics into robotics uses only very elementary mathematical reasoning or, at the other extreme, is comprised of technical papers or books using calculus and other advanced mathematics. The exercises suggested are relevant to any differential-drive robot, which is an appropriate model for many different varieties of educational robots. They guide students towards comparing a variety of natural navigational strategies making use of typical movement primitives. The exercises align with Common Core State Standards for Mathematics.","tags":[],"title":"Exercises Integrating High School Mathematics with Robot Motion Planning","type":"publication"},{"authors":["Y. Lu","G. K. Thiruvathukal","A. S. Kaseb","K. Gauen","D. Rijhwani","R. Dailey","D. Malik","Y. Huang","S. Aghajanzadeh","M. M. Guo"],"categories":[],"content":"","date":1569888e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"57db09d912681de63c4d78961401e144","permalink":"https://ssl.cs.luc.edu/publication/lu-see-2019/","publishdate":"2023-02-09T18:57:39.286935Z","relpermalink":"/publication/lu-see-2019/","section":"publication","summary":"Millions of network cameras have been deployed worldwide. Real-time data from many network cameras can offer instant views of multiple locations for many applications. We describe the real-time data available from these cameras and potential applications.","tags":["Visualization","Internet","Streaming media","Real-time systems","Ip networks","Cameras","Cameras","Network cameras","Urban areas"],"title":"See the World Through Network Cameras","type":"publication"},{"authors":["Juliet K. Brophy","Gregory J. Matthews","George K. Thiruvathukal"],"categories":[],"content":"","date":1561939200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"f7112000825e23562dcecea2c016ad8a","permalink":"https://ssl.cs.luc.edu/publication/brophy-analysis-2019/","publishdate":"2023-02-09T18:57:37.297664Z","relpermalink":"/publication/brophy-analysis-2019/","section":"publication","summary":"Previous research provides a method for reducing the subjectivity in molar tooth identification of animals in the family Bovidae, by quantifying the occlusal surface of teeth using elliptical Fourier analysis. This current paper specifically tests what effect teeth with medium to late wear have on the identification of bovid teeth when using the form (size and shape) of the occlusal surface to classify specimens.","tags":[],"title":"An Analysis of the Effect of Tooth Wear on Bovid Identification","type":"publication"},{"authors":["Z. Kapach","A. Ulmer","D. Merrick","A. Alikhan","Y. Lu","A. Mohan","A. S. Kaseb","G. K. Thiruvathukal"],"categories":[],"content":"","date":1561939200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"f550ac6063dff5b1ec39bf3b97d97479","permalink":"https://ssl.cs.luc.edu/publication/kapach-cloud-2019/","publishdate":"2023-02-09T18:57:39.443407Z","relpermalink":"/publication/kapach-cloud-2019/","section":"publication","summary":"Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows the most promise to provide the needed resources on demand. In this paper, we investigate how to allocate cloud resources when analyzing real-time data streams from network cameras. A resource manager considers many factors that affect its decisions, including the types of analysis, the number of data streams, and the locations of the cameras. The manager then selects the most cost-efficient types of cloud instances (e.g., central processing unit versus general-purpose graphics processing units) to meet the computational demands for analyzing streams. We evaluate the effectiveness of our approach using Amazon Web Services. Experiments demonstrate more than 50% cost reduction for real workloads.","tags":[],"title":"Cloud Resource Optimization for Processing Multiple Streams of Visual Data","type":"publication"},{"authors":["Sergei Alyamkin","Matthew Ardi","Alexander C. Berg","Achille Brighton","Bo Chen","Yiran Chen","Hsin-Pai Cheng","Zichen Fan","Chen Feng","Bo Fu","Kent Gauen","Abhinav Goel","Alexander Goncharenko","Xuyang Guo","Soonhoi Ha","Andrew Howard","Xiao Hu","Yuanjun Huang","Donghyun Kang","Jaeyoun Kim","Jong Gook Ko","Alexander Kondratyev","Junhyeok Lee","Seungjae Lee","Suwoong Lee","Zichao Li","Zhiyu Liang","Juzheng Liu","Xin Liu","Yang Lu","Yung-Hsiang Lu","Deeptanshu Malik","Hong Hanh Nguyen","Eunbyung Park","Denis Repin","Liang Shen","Tao Sheng","Fei Sun","David Svitov","George K. Thiruvathukal","Baiwu Zhang","Jingchi Zhang","Xiaopeng Zhang","Shaojie Zhuo"],"categories":[],"content":"","date":1559347200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"034bd4b73781c5bf20cc7cd4018b9554","permalink":"https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/","publishdate":"2023-02-09T18:57:37.529085Z","relpermalink":"/publication/alyamkin-low-power-2019/","section":"publication","summary":"Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions, and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries, and energy efficiency is critical. This paper serves the following two main purposes. First, examine the state of the art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This paper summarizes the 2018 winners' solutions. Second, suggest directions for research as well as opportunities for low-power computer vision.","tags":[],"title":"Low-Power Computer Vision: Status, Challenges, and Opportunities","type":"publication"},{"authors":["Dario Dematties","Silvio B. Rizzi","George K. Thiruvathukal","Alejandro Wainselboim","B. Silvano Zanutto"],"categories":[],"content":"","date":1559347200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"c8cb24b6cb8b48704b64032dd8423123","permalink":"https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/","publishdate":"2023-02-09T18:57:37.730708Z","relpermalink":"/publication/dematties-phonetic-2019/","section":"publication","summary":"Many computational theories have been developed to improve artificial phonetic classification performance from linguistic auditory streams. However, less attention has been given to psycholinguistic data and neurophysiological features recently found in cortical tissue. We focus on a context in which basic linguistic units–such as phonemes–are extracted and robustly classified by humans and other animals from complex acoustic streams in speech data. We are especially motivated by the fact that 8-month-old human infants can accomplish segmentation of words from fluent audio streams based exclusively on the statistical relationships between neighboring speech sounds without any kind of supervision. In this paper, we introduce a biologically inspired and fully unsupervised neurocomputational approach that incorporates key neurophysiological and anatomical cortical properties, including columnar organization, spontaneous micro-columnar formation, adaptation to contextual activations and Sparse Distributed Representations (SDRs) produced by means of partial N-Methyl-D-aspartic acid (NMDA) depolarization. Its feature abstraction capabilities show promising phonetic invariance and generalization attributes. Our model improves the performance of a Support Vector Machine (SVM) classifier for monosyllabic, disyllabic and trisyllabic word classification tasks in the presence of environmental disturbances such as white noise, reverberation, and pitch and voice variations. Furthermore, our approach emphasizes potential self-organizing cortical principles achieving improvement without any kind of optimization guidance which could minimize hypothetical loss functions by means of–for example–backpropagation. Thus, our computational model outperforms multiresolution spectro-temporal auditory feature representations using only the statistical sequential structure immerse in the phonotactic rules of the input stream.","tags":[],"title":"Phonetic Acquisition in Cortical Dynamics, a Computational Approach","type":"publication"},{"authors":["Caleb Tung","Matthew R. Kelleher","Ryan J. Schlueter","Binhan Xu","Yung-Hsiang Lu","George K. Thiruvathukal","Yen-Kuan. Chen","Yang Lu"],"categories":[],"content":"","date":1551398400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"cabca0239a39719b18de2c744e3e1187","permalink":"https://ssl.cs.luc.edu/publication/tung-large-scale-2019/","publishdate":"2023-02-09T18:57:33.020559Z","relpermalink":"/publication/tung-large-scale-2019/","section":"publication","summary":"Computer vision relies on labeled datasets for training and evaluation in detecting and recognizing objects. The popular computer vision program, YOLO (\\\"You Only Look Once\\\"), has been shown to accurately detect objects in many major image datasets. However, the images found in those datasets, are independent of one another and cannot be used to test YOLO's consistency at detecting the same object as its environment (e.g. ambient lighting) changes. This paper describes a novel effort to evaluate YOLO's consistency for large-scale applications. It does so by working (a) at large scale and (b) by using consecutive images from a curated network of public video cameras deployed in a variety of real-world situations, including traf?c intersections, national parks, shopping malls, university campuses, etc. We speci?cally examine YOLO's ability to detect objects in different scenarios (e.g., daytime vs. night), leveraging the cameras' ability to rapidly retrieve many successive images for evaluating detection consistency. Using our camera network and advanced computing resources (supercomputers), we analyzedmorethan5millionimagescapturedby140network cameras in 24 hours. Compared with labels marked by humans (considered as \\\"ground truth\\\"), YOLO struggles to consistently detect the same humans and cars as their positions change from one frame to the next; it also struggles to detect objects at night time. Our ?ndings suggest that state-of-the art vision solutions should be trained by data from network camera with contextual information before they can be deployed in applications that demand high consistency on object detection.","tags":[],"title":"Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions","type":"publication"},{"authors":["Arfon Smith","Lorena A. Barba","Daniel S. Katz","Kyle Niemeyer","Tania Allard","Juanjo Bazan","Jed Brown","Jason Clark","Roman Valls Guimera","Melissa Gymrek","Lindsey Heagy","Kathryn Huff","George K. Thiruvathukal","Christopher Madan","Kevin Moerman","Lorena Pantano","Viviane Pons","Jack Poulson","Pjotr Prins","Karthik Ram","Elizabeth Ramirez","Ariel Rokem","Kristen Thyng","Yo Yehudi"],"categories":[],"content":"","date":1548979200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969069,"objectID":"1afd7c6586c4024d46d4f592eae54778","permalink":"https://ssl.cs.luc.edu/publication/smith-siam-2019/","publishdate":"2023-02-09T18:57:49.646228Z","relpermalink":"/publication/smith-siam-2019/","section":"publication","summary":"","tags":[],"title":"SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software","type":"publication"},{"authors":["George K. Thiruvathukal","Cameron Christensen","Xiaoyong Jin","François Tessier","Venkatram Vishwanath"],"categories":[],"content":"","date":1546300800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969069,"objectID":"92152088e3a0fe6bdee5e98861f0d2c2","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-benchmarking-2019/","publishdate":"2023-02-09T18:57:49.303072Z","relpermalink":"/publication/thiruvathukal-benchmarking-2019/","section":"publication","summary":"","tags":[],"title":"A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers","type":"publication"},{"authors":["Ronald I. Greenberg","George K. Thiruvathukal","Sara T. Greenberg"],"categories":[],"content":"","date":1546300800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"d8a706bd4f3f8fc4f2cef062a29edf83","permalink":"https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/","publishdate":"2023-02-09T18:57:32.405029Z","relpermalink":"/publication/greenberg-integrating-2019/","section":"publication","summary":"This paper shows how students can be guided to integrate elementary mathematical analyses with motion planning for typical educational robots. Rather than using calculus as in comprehensive works on motion planning, we show students can achieve interesting results using just simple linear regression tools and trigonometric analyses. Experiments with one robotics platform show that use of these tools can lead to passable navigation through dead reckoning even if students have limited experience with use of sensors, programming, and mathematics.","tags":[],"title":"Integrating Mathematics and Educational Robotics: Simple Motion Planning","type":"publication"},{"authors":["Konstantin Läufer","John O'Sullivan","George K. Thiruvathukal"],"categories":[],"content":"","date":1546300800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"d464b51617046e0b8d973f73ec34d513","permalink":"https://ssl.cs.luc.edu/publication/laufer-tests-2019/","publishdate":"2023-02-09T18:57:33.21037Z","relpermalink":"/publication/laufer-tests-2019/","section":"publication","summary":"In testing stateful abstractions, it is often necessary to record interactions, such as method invocations, and express assertions over these interactions. Following the Test Spy design pattern, we can reify such interactions programmatically through additional mutable state. Alternatively, a mocking framework, such as Mockito, can automatically generate test spies that allow us to record the interactions and express our expectations in a declarative domain-specific language. According to our study of the test code for Scala's Iterator trait, the latter approach can lead to a significant reduction of test code complexity in terms of metrics such as code size (in some cases over 70% smaller), cyclomatic complexity, and amount of additional mutable state required. In this tools paper, we argue that the resulting test code is not only more maintainable, readable, and intentional, but also a better stylistic match for the Scala community than manually implemented, explicitly stateful test spies.","tags":[],"title":"Tests as Maintainable Assets via Auto-Generated Spies: A Case Study Involving the Scala Collections Library's Iterator Trait","type":"publication"},{"authors":["Nasir U. Eisty","George K. Thiruvathukal","Jeffrey C. Carver"],"categories":[],"content":"","date":1546300800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"a4c2192f3fb97a8241d8760f1d4ad59b","permalink":"https://ssl.cs.luc.edu/publication/eisty-use-2019/","publishdate":"2023-02-09T18:57:32.620798Z","relpermalink":"/publication/eisty-use-2019/","section":"publication","summary":"Background: Developers face challenges in building high-quality research software due to its inherent complexity. These challenges can reduce the confidence users have in the quality of the result produced by the software. Use of a defined software development process, which divides the development into distinct phases, results in improved design, more trustworthy results, and better project management. Aims: This paper focuses on gaining a better understanding of the use of software development process for research software. Method: We surveyed research software developers to collect information about their use of software development processes. We analyze whether and demographic factors influence the respondents' use of and perceived value in defined process. Results: Based on 98 responses, research software developers appear to follow a defined software development process at least some of the time. The respondents also have a strong positive perception about the value of following processes. Conclusions: To produce high-quality and reliable research software, which is critical for many research domains, research software developers must follow a proper software development process. The results indicate a positive perception of value about using defined development processes that should lead to both short-term benefits through improved results and long-term benefits through more maintainable software.","tags":[],"title":"Use of Software Process in Research Software Development: A Survey","type":"publication"},{"authors":["Nasir U. Eisty","George K. Thiruvathukal","Jeffrey C. Carver"],"categories":[],"content":"","date":1538352e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"82236d142aea627c15580c770b343253","permalink":"https://ssl.cs.luc.edu/publication/eisty-survey-2018/","publishdate":"2023-02-09T18:57:33.777078Z","relpermalink":"/publication/eisty-survey-2018/","section":"publication","summary":"Background: Breakthroughs in research increasingly depend on complex software libraries, tools, and applications aimed at supporting specific science, engineering, business, or humanities disciplines. The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics relevant to research software corresponds to the metrics commonly used in traditional software engineering. Method: We surveyed research software developers to gather information about their knowledge and use of code metrics and software process metrics. We also analyzed the influence of demographics (project size, development role, and development stage) on these metrics. Results: The survey results, from 129 respondents, indicate that respondents have a general knowledge of metrics. However, their knowledge of specific SE metrics is lacking, their use even more limited. The most used metrics relate to performance and testing. Even though code complexity often poses a significant challenge to research software development, respondents did not indicate much use of code metrics. Conclusions: Research software developers appear to be interested and see some value in software metrics but may be encountering roadblocks when trying to use them. Further study is needed to determine the extent to which these metrics could provide value in continuous process improvement.","tags":[],"title":"A Survey of Software Metric Use in Research Software Development","type":"publication"},{"authors":["Chittayong Surakitbanharn","Calvin Yau","Guizhen Wang","Aniesh Chawla","Yinuo Pan","Zhaoya Sun","Sam Yellin","David Ebert","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1538352e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"a48be29b28d3aa554f6f1be1223c4e83","permalink":"https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/","publishdate":"2023-02-09T18:57:33.586553Z","relpermalink":"/publication/surakitbanharn-cross-referencing-2018/","section":"publication","summary":"Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content and frequency and content to determine the utility for emergency managers or first responders during a natural disaster.","tags":[],"title":"Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response","type":"publication"},{"authors":["Ahmed S. Kaseb","Bo Fu","Anup Mohan","Yung-Hsiang Lu","Amy Reibman","George K. Thiruvathukal"],"categories":[],"content":"","date":1522540800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"8a18247c3a0b17fc8dc508fb45393b93","permalink":"https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/","publishdate":"2023-02-09T18:57:33.947023Z","relpermalink":"/publication/kaseb-analyzing-2018-1/","section":"publication","summary":"Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies.","tags":[],"title":"Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud","type":"publication"},{"authors":["Sergei Alyamkin","Matthew Ardi","Achille Brighton","Alexander C. Berg","Yiran Chen","Hsin-Pai Cheng","Bo Chen","Zichen Fan","Chen Feng","Bo Fu","Kent Gauen","Jongkook Go","Alexander Goncharenko","Xuyang Guo","Hong Hanh Nguyen","Andrew Howard","Yuanjun Huang","Donghyun Kang","Jaeyoun Kim","Alexander Kondratyev","Seungjae Lee","Suwoong Lee","Junhyeok Lee","Zhiyu Liang","Xin Liu","Juzheng Liu","Zichao Li","Yang Lu","Yung-Hsiang Lu","Deeptanshu Malik","Eunbyung Park","Denis Repin","Tao Sheng","Liang Shen","Fei Sun","David Svitov","George K. Thiruvathukal","Baiwu Zhang","Jingchi Zhang","Xiaopeng Zhang","Shaojie Zhuo"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"93c5ddeee7099af2e505a5429dd2c7f6","permalink":"https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/","publishdate":"2023-02-09T18:57:34.145125Z","relpermalink":"/publication/alyamkin-2018-2018/","section":"publication","summary":"Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries and energy efficiency is critical. This article serves two main purposes: (1) Examine the state-of-the-art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This article summarizes 2018 winners' solutions. (2) Suggest directions for research as well as opportunities for low-power computer vision.","tags":[],"title":"2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities","type":"publication"},{"authors":["Gregory J. Matthews","Juliet K. Brophy","Hongie Gu","Maxwell P. Luetkemeier","George K. Thiruvathukal"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"cbe3982f351de46b4193a522f1dfd84d","permalink":"https://ssl.cs.luc.edu/publication/matthews-comparison-2018/","publishdate":"2023-02-09T18:57:37.901142Z","relpermalink":"/publication/matthews-comparison-2018/","section":"publication","summary":"This study explores the performance of modern, accurate machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically the most common fossils found in southern Africa and they often constitute the basis for paleoenvironmental reconstructions. Taxonomic identification of fossil bovid teeth, however, is often imprecise and subjective. Using modern teeth with known taxons, machine learning algorithms can be trained to classify fossils. Previous work by Brophy et. al. 2014 uses elliptical Fourier analysis of the form (size and shape) of the outline of the occlusal surface of each tooth as features in a linear discriminant analysis framework. This manuscript expands on that previous work by exploring how different machine learning approaches classify the teeth and testing which technique is best for classification. Five different machine learning techniques including linear discriminant analysis, neural networks, nuclear penalized multinomial regression, random forests, and support vector machines were used to estimate these models. Support vector machines and random forests perform the best in terms of both log-loss and misclassification rate; both of these methods are improvements over linear discriminant analysis. With the identification and application of these superior methods, bovid teeth can be classified with higher accuracy.","tags":[],"title":"A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae","type":"publication"},{"authors":["Ahmed S. Kaseb","Bo Fu","Anup Mohan","Yung-Hsiang Lu","Amy Reibman","George K. Thiruvathukal"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"7fa7753ec62e90ff42b7977d0959fa57","permalink":"https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/","publishdate":"2023-02-09T18:57:33.378635Z","relpermalink":"/publication/kaseb-analyzing-2018/","section":"publication","summary":"Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies.","tags":[],"title":"Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud","type":"publication"},{"authors":["Francis Sullivan","Norman Chonacky","Isabel Beichl","George K. Thiruvathukal"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"97938106aa7de034106dc9a8af6a7daa","permalink":"https://ssl.cs.luc.edu/publication/sullivan-former-2018/","publishdate":"2023-02-09T18:57:39.671187Z","relpermalink":"/publication/sullivan-former-2018/","section":"publication","summary":"Former CiSE EICs reflect on the magazine’s 20th anniversary.","tags":[],"title":"Former CiSE EICs Reflect on the Magazines 20th Anniversary","type":"publication"},{"authors":["Pamela L. Caughie","Nicholas J. Hayward","Mark Hussey","Peter J. Shillingsburg","George K. Thiruvathukal"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969066,"objectID":"0030d9ac9029434139699f33e03b20b2","permalink":"https://ssl.cs.luc.edu/publication/caughie-woolf-2018/","publishdate":"2023-02-09T18:57:46.112876Z","relpermalink":"/publication/caughie-woolf-2018/","section":"publication","summary":"","tags":[],"title":"Woolf Online","type":"publication"},{"authors":["Mike Lewis","George K. Thiruvathukal","Venkatram Vishwanath","Michael Papka","Andrew Johnson"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"0892876209e27f78655ab63fb4202768","permalink":"https://ssl.cs.luc.edu/publication/lewis-distributed-2017/","publishdate":"2023-02-09T18:57:34.30066Z","relpermalink":"/publication/lewis-distributed-2017/","section":"publication","summary":"Efficient RDF, graph based queries are becoming more pertinent based on the increased interest in data analytics and its intersection with large, unstructured but connected data. Many commercial systems have adopted distributed RDF graph systems in order to handle increasing dataset sizes and complex queries. This paper introduces a distribute graph approach to pre-processing linked data. Instead of traversing the memory graph, our system indexes pre-processed join elements that are organized in a graph structure. We analyze the Dbpedia data-set (derived from the Wikipedia corpus) and compare our access method to the graph traversal access approach which we also devise. Results show from our experiments that the distributed, pre-processed graph approach to accessing linked data is faster than the traversal approach over a specific range of linked queries.","tags":[],"title":"A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers","type":"publication"},{"authors":["Kent Gauen","Ryan Dailey","John Laiman","Yuxiang Zi","Nirmal Asokan","Yung-Hsiang Lu","George K. Thiruvathukal","Mei-Ling Shyu","Shu-Ching Chen"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"58a3ca3ecb4f58130a702c9d4cb95eae","permalink":"https://ssl.cs.luc.edu/publication/gauen-comparison-2017/","publishdate":"2023-02-09T18:57:34.522055Z","relpermalink":"/publication/gauen-comparison-2017/","section":"publication","summary":"One of the greatest technological improvements in recent years is the rapid progress using machine learning for processing visual data. Among all factors that contribute to this development, datasets with labels play crucial roles. Several datasets are widely reused for investigating and analyzing different solutions in machine learning. Many systems, such as autonomous vehicles, rely on components using machine learning for recognizing objects. This paper compares different visual datasets and frameworks for machine learning. The comparison is both qualitative and quantitative and investigates object detection labels with respect to size, location, and contextual information. This paper also presents a new approach creating datasets using real-time, geo-tagged visual data, greatly improving the contextual information of the data. The data could be automatically labeled by cross-referencing information from other sources (such as weather).","tags":[],"title":"Comparison of Visual Datasets for Machine Learning","type":"publication"},{"authors":["David B. Dennis","George K. Thiruvathukal"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"e7d67780359874df6708de9ce9b4e5b7","permalink":"https://ssl.cs.luc.edu/publication/dennis-computer-2017/","publishdate":"2023-02-09T18:57:34.71355Z","relpermalink":"/publication/dennis-computer-2017/","section":"publication","summary":"","tags":[],"title":"Computer Science and Cultural History: A Dialogue","type":"publication"},{"authors":["Gregory J. Matthews","George K. Thiruvathukal","Matthew P. Luetkemeier","Juliet K. Brophy"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"ad21d6887db306ada7fe6a163eb7e33f","permalink":"https://ssl.cs.luc.edu/publication/matthews-examining-2017/","publishdate":"2023-02-09T18:57:38.137953Z","relpermalink":"/publication/matthews-examining-2017/","section":"publication","summary":"In order to reconstruct environments associated with Plio-Pleistocene hominins in southern Africa, researchers frequently rely upon the animals associated with the hominins, in particular, animals in the Family Bovidae. Bovids in southern Africa are typically identified by their teeth. However, identifying the taxon of a bovid tooth is challenging due to various biasing factors. Furthermore, inaccurate identification of fossil bovids can have significant consequences on the reconstructed paleoenvironment. Recent research on the classification of bovid fossil teeth has relied on using elliptical Fourier analysis to summarize the shape of the outline of the occlusal surface of the tooth and the resulting harmonic amplitudes. Currently, an expert in the field must manually place landmarks around the edges of each tooth which is slow and time consuming. This study tests whether it is possible to crowdsource this task, while maintaining the necessary level of quality needed to perform a statistical analysis on each tooth. Amazon Mechanical Turk workers place landmarks on the edge of the tooth which is compared to the performance of an expert in the field. The results suggest that crowdsourcing the digitization process is reliable and replicable. With the technical aspects of digitization managed, researchers can concentrate on analyzing and interpreting the data.","tags":[],"title":"Examining the Use of Amazon's Mechanical Turk for Edge Extraction of the Occlusal Surface of Fossilized Bovid Teeth.","type":"publication"},{"authors":["Lorena A. Barba","George K. Thiruvathukal"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"2752d43d1f149a45719295cbd9c3544e","permalink":"https://ssl.cs.luc.edu/publication/barba-reproducible-2017/","publishdate":"2023-02-09T18:57:39.846816Z","relpermalink":"/publication/barba-reproducible-2017/","section":"publication","summary":"","tags":[],"title":"Reproducible Research for Computing in Science \u0026 Engineering","type":"publication"},{"authors":["Jeffrey Carver","Neil P. Chue Hong","George K. Thiruvathukal"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969049,"objectID":"da2cbca130705cbe7ac6033d745a83b2","permalink":"https://ssl.cs.luc.edu/publication/carver-software-2017/","publishdate":"2023-02-09T18:57:29.317876Z","relpermalink":"/publication/carver-software-2017/","section":"publication","summary":"Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe with applying software engineering practices to the development of scientifi software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges.","tags":[],"title":"Software Engineering for Science","type":"publication"},{"authors":["George F. Hurlburt","George K. Thiruvathukal","Maria R. Lee"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"a05effc9791461b528cc9114749b52cf","permalink":"https://ssl.cs.luc.edu/publication/hurlburt-graph-2017/","publishdate":"2023-02-09T18:57:40.079385Z","relpermalink":"/publication/hurlburt-graph-2017/","section":"publication","summary":"","tags":[],"title":"The Graph Database: Jack of All Trades or Just Not SQL?","type":"publication"},{"authors":["Steven Reisman","Thomas Hatzopoulos","Konstantin Läufer","George K. Thiruvathukal","Catherine Putonti"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"f10987b6f1ec29e59d43b77901952d4d","permalink":"https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/","publishdate":"2023-02-09T18:57:38.318165Z","relpermalink":"/publication/reisman-polyglot-2016/","section":"publication","summary":"As sequencing technologies continue to drop in price and increase in throughput, new challenges emerge for the management and accessibility of genomic sequence data. We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 sequences. Phylogenetic analyses were conducted for textgreater6,000 HIV-1 sequences revealing spatial and temporal factors influence the evolution of the individual genes uniquely. Nevertheless, signatures of origin can be extrapolated even despite increased globalization. The approach developed here can easily be customized for any species of interest.","tags":[],"title":"A Polyglot Approach to Bioinformatics Data Integration: A Phylogenetic Analysis of HIV-1","type":"publication"},{"authors":["Tiffany Barnes","Jamie Payton","George K. Thiruvathukal","Kristy Elizabeth Boyer","Jeffrey Forbes"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"64657645f791ec7e6e184b44e5d6d9ed","permalink":"https://ssl.cs.luc.edu/publication/barnes-best-2016/","publishdate":"2023-02-09T18:57:40.419047Z","relpermalink":"/publication/barnes-best-2016/","section":"publication","summary":"","tags":[],"title":"Best of RESPECT, Part 2","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"0f928abf86a400af8fbdd1f6256b76b6","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-beyond-2016/","publishdate":"2023-02-09T18:57:41.087941Z","relpermalink":"/publication/thiruvathukal-beyond-2016/","section":"publication","summary":"","tags":[],"title":"Beyond Pythagoras","type":"publication"},{"authors":["Jeffrey C. Carver","George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969070,"objectID":"2591fa0c5096c03266b76b6b60f10cb4","permalink":"https://ssl.cs.luc.edu/publication/carver-collaborative-2016/","publishdate":"2023-02-09T18:57:49.8296Z","relpermalink":"/publication/carver-collaborative-2016/","section":"publication","summary":"","tags":[],"title":"Collaborative Research: Making Software Engineering Work for Computational Science \u0026 Engineering: An Integrated Approach","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"3e395f143490b6c9cbe6ce0a7d95f1a0","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-fin-2016/","publishdate":"2023-02-09T18:57:40.829839Z","relpermalink":"/publication/thiruvathukal-fin-2016/","section":"publication","summary":"","tags":[],"title":"El Fin","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"dd66ad9637e1b49a1c7bf6728afd41a6","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-how-2016/","publishdate":"2023-02-09T18:57:40.665145Z","relpermalink":"/publication/thiruvathukal-how-2016/","section":"publication","summary":"As sci-fi readers and film buffs know, many of these ideas that have been foreshadowed–and that seem far-fetched in–fiction are beginning to seem possible. Whether we are considering the benevolent Commander Data in Star Trek: The Next Generation or fearing the terrifying Terminator, we are entering an era where AI as is rapidly entering the public discourse.","tags":[],"title":"How AI Is Bringing Hollywood to Life","type":"publication"},{"authors":["Adrienne Decker","Jamie Payton","Kurt Eiselt","Tiffany Barnes","George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"bfb8a05fcfac5019a5c787784f054931","permalink":"https://ssl.cs.luc.edu/publication/decker-research-2016/","publishdate":"2023-02-09T18:57:34.89243Z","relpermalink":"/publication/decker-research-2016/","section":"publication","summary":"","tags":[],"title":"Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) RESPECT 2016","type":"publication"},{"authors":["Tiffany Barnes","George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"d1ce513736bf1850a2148a446c895eb1","permalink":"https://ssl.cs.luc.edu/publication/barnes-need-2016/","publishdate":"2023-02-09T18:57:40.26007Z","relpermalink":"/publication/barnes-need-2016/","section":"publication","summary":"","tags":[],"title":"The Need for Research in Broadening Participation","type":"publication"},{"authors":["Catherine Putonti","George K. Thiruvathukal"],"categories":[],"content":"","date":1443657600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969067,"objectID":"3ca4a5e0263760864ace6ac43f9e4a7d","permalink":"https://ssl.cs.luc.edu/publication/putonti-organised-2015/","publishdate":"2023-02-09T18:57:46.832385Z","relpermalink":"/publication/putonti-organised-2015/","section":"publication","summary":"","tags":[],"title":"Organised Genomic HIV and Pseudomonas Sequence Data","type":"publication"},{"authors":["William Honig","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"df9ab10ff70184ddca1e814ae1486804","permalink":"https://ssl.cs.luc.edu/publication/honig-framework-2015/","publishdate":"2023-02-09T18:57:35.116741Z","relpermalink":"/publication/honig-framework-2015/","section":"publication","summary":"Academic courses focused on individual microcomputers or client/server applications are no longer sufficient for students to develop knowledge in embedded systems. Current and near-term industrial systems employ multiple interacting components and new network and security approaches; hence, academic preparation requires teaching students to develop realistic projects comparable to these real-world products. However, the complexity, breadth, and technical variations of these real-world products are difficult to reproduce in the classroom. This paper outlines preliminary work on a framework architecture suitable for academic teaching of modern embedded systems including the Internet of Things. It defines four layers, two of which are at the edges of the network, and not adequately covered in academia. For each layer of the architecture, specific technology and suitable devices are identified. Desired academic outcomes for courses using projects based on the architecture are identified. Feedback and comparison is sought on how effective student course and research activities based on the framework will be to real-world embedded systems developers.","tags":[],"title":"A Framework Architecture for Student Learning in Distributed Embedded Systems","type":"publication"},{"authors":["George K. Thiruvathukal","Ufuk Verun"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969070,"objectID":"4d934cc09f9eca32ebd01f8e369f56f2","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-apt-2015/","publishdate":"2023-02-09T18:57:50.182341Z","relpermalink":"/publication/thiruvathukal-apt-2015/","section":"publication","summary":"","tags":[],"title":"Apt Compiler Toolkit (Legacy Document)","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"8e5cf355afcdc2d022d6b69c1a5bf080","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-cloudy-2015/","publishdate":"2023-02-09T18:57:41.435653Z","relpermalink":"/publication/thiruvathukal-cloudy-2015/","section":"publication","summary":"","tags":[],"title":"Cloudy with a Chance of Sunshine, or the Future of Magazine Publishing (Article, 2015) [WorldCat.Org]","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969066,"objectID":"dafd0c34b5a6d256b9e8f76ebb4f1a3e","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/","publishdate":"2023-02-09T18:57:46.639944Z","relpermalink":"/publication/thiruvathukal-gcasr-2015/","section":"publication","summary":"","tags":[],"title":"GCASR 15: Middleware for Collaborative Distributed/Mobile Applications: XMPP or Reactive HTTP?","type":"publication"},{"authors":["Tiffany Barnes","George K. Thiruvathukal","Kristy Elizabeth Boyer","Jeff Forbes","Jamie Payton"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"43881be4cd7253deda2c213a32c4ad38","permalink":"https://ssl.cs.luc.edu/publication/barnes-proceedings-2015/","publishdate":"2023-02-09T18:57:35.286444Z","relpermalink":"/publication/barnes-proceedings-2015/","section":"publication","summary":"","tags":[],"title":"Proceedings of 2015 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) RESPECT 2015","type":"publication"},{"authors":["Juliet K. Brophy","Gregory J. Matthews","George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969066,"objectID":"34d7f0dd92a763b0c84ef693c72a3e55","permalink":"https://ssl.cs.luc.edu/publication/brophy-quantitative-2015/","publishdate":"2023-02-09T18:57:46.289918Z","relpermalink":"/publication/brophy-quantitative-2015/","section":"publication","summary":"","tags":[],"title":"Quantitative Morphological Analysis of Bovid Teeth Using Elliptical Fourier Function Analyses","type":"publication"},{"authors":["Andy Terrel","Michael Tobis","George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969062,"objectID":"0e196d3475b962ab65d3c8bedb921404","permalink":"https://ssl.cs.luc.edu/publication/terrel-scientific-2015/","publishdate":"2023-02-09T18:57:41.858792Z","relpermalink":"/publication/terrel-scientific-2015/","section":"publication","summary":"","tags":[],"title":"Scientific Software Communities","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"df2406937b0744e83406ed7e8c4bb0b9","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-all-digital-2015/","publishdate":"2023-02-09T18:57:41.685849Z","relpermalink":"/publication/thiruvathukal-all-digital-2015/","section":"publication","summary":"","tags":[],"title":"The All-Digital Future and Digital CiSE","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"26a905ec8fdd73b17956bcff0b33d9ed","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-next-2015/","publishdate":"2023-02-09T18:57:41.262201Z","relpermalink":"/publication/thiruvathukal-next-2015/","section":"publication","summary":"","tags":[],"title":"The Next Generation of Computational Science and Engineering","type":"publication"},{"authors":["Manish Parashar","George K. Thiruvathukal"],"categories":[],"content":"","date":1388534400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969062,"objectID":"cb314c46e5ad3ca98e6f5a08d67318f9","permalink":"https://ssl.cs.luc.edu/publication/parashar-extreme-2014/","publishdate":"2023-02-09T18:57:42.105445Z","relpermalink":"/publication/parashar-extreme-2014/","section":"publication","summary":"","tags":[],"title":"Extreme Data [Guest Editors' Introduction]","type":"publication"},{"authors":["Mark Lewis","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1388534400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969067,"objectID":"3bfb314ed000a08b99d734d60d27919e","permalink":"https://ssl.cs.luc.edu/publication/lewis-scala-2014/","publishdate":"2023-02-09T18:57:47.114264Z","relpermalink":"/publication/lewis-scala-2014/","section":"publication","summary":"Scala is one of a new breed of hybrid languages with both object-oriented and functional aspects. It happens to be the most successful of these languages coming in at #12 on the Red Monk language ranking and leading all languages in their 2nd tier. This workshop will introduce participants to the Scala programming language, how it can be used effectively in introductory CS courses, and the parallel tools that are available for it. We begin with simple examples in the REPL and scripting environment, then look at doing larger, object-oriented projects. We finish off with an exploration of composable futures and the Akka actor library. Participants are strongly recommended to bring a laptop.","tags":[],"title":"Scala for Introductory CS and Parallelism (Workshop)","type":"publication"},{"authors":["Trevor Borg","George K. Thiruvathukal"],"categories":[],"content":"","date":1388534400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"f4c99f6817fb671d45b4173e418aec21","permalink":"https://ssl.cs.luc.edu/publication/borg-single-2014/","publishdate":"2023-02-09T18:57:35.444749Z","relpermalink":"/publication/borg-single-2014/","section":"publication","summary":"TEI is good at what it does: static documents rendered in glorious detail. But TEI is old. Its age doesn’t make TEI irrelevant, but it’s important to be conscious of how the way we weave the fabric of the web has changed since TEI was conceived in 1994, and reevaluate some of our assumptions about its use. In this early work, we are exploring this rethinking as part of a larger study within the center on general methods for isolating the complexity frequently associated with XML-based frameworks.","tags":[],"title":"Single Page Apps for Humanists: A Case Study Using the Perseus Richmond Times Corpus","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1388534400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969062,"objectID":"1ed79ff6787a3f3da10effe17151cbbe","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-what-2014/","publishdate":"2023-02-09T18:57:42.309084Z","relpermalink":"/publication/thiruvathukal-what-2014/","section":"publication","summary":"","tags":[],"title":"What We Publish in CiSE","type":"publication"},{"authors":["Thomas Delgado Dias","Xian Yan","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969067,"objectID":"e526b28a544473e52cd9676a0a999752","permalink":"https://ssl.cs.luc.edu/publication/dias-building-2013/","publishdate":"2023-02-09T18:57:47.278996Z","relpermalink":"/publication/dias-building-2013/","section":"publication","summary":"","tags":[],"title":"Building Capable, Energy-Efficient, Flexible Visualization and Sensing Clusters from Commodity Tablets","type":"publication"},{"authors":["George K. Thiruvathukal","Manish Parashar"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969063,"objectID":"a8e6fd2c0167b04ba8118a6a97cef9fd","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-cloud-2013/","publishdate":"2023-02-09T18:57:43.60467Z","relpermalink":"/publication/thiruvathukal-cloud-2013/","section":"publication","summary":"","tags":[],"title":"Cloud Computing [Guest Editors' Introduction]","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969063,"objectID":"e0e43eb7f26c820e42a386edf6ab47f5","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-computational-2013/","publishdate":"2023-02-09T18:57:43.280849Z","relpermalink":"/publication/thiruvathukal-computational-2013/","section":"publication","summary":"","tags":[],"title":"Computational Science, Demystified - the Future, Revealed and CiSE, 2013","type":"publication"},{"authors":["Paul Stasiuk","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969067,"objectID":"bd682585db2f7dba2b8a191c824ed09b","permalink":"https://ssl.cs.luc.edu/publication/stasiuk-network-2013/","publishdate":"2023-02-09T18:57:47.647227Z","relpermalink":"/publication/stasiuk-network-2013/","section":"publication","summary":"","tags":[],"title":"Network Technologies Used to Aggregate Environmental Data","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969063,"objectID":"d3cde0ce1fef716ade12db8f05d6e934","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-productivity-2013/","publishdate":"2023-02-09T18:57:43.096167Z","relpermalink":"/publication/thiruvathukal-productivity-2013/","section":"publication","summary":"","tags":[],"title":"Productivity in the Cognitive Overload Era","type":"publication"},{"authors":["Jeffrey C. Carver","George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"bed12b472ad741dec54681275e1856b3","permalink":"https://ssl.cs.luc.edu/publication/carver-software-2013/","publishdate":"2023-02-09T18:57:35.660812Z","relpermalink":"/publication/carver-software-2013/","section":"publication","summary":"\\\"Progress in scientific research is dependent on the quality and accessibility of software at all levels\\\" (the overall premise of the workshop). We argue that true progress depends on embracing the best traditional–and emergent– practices in software engineering, especially agile practices that intersect with the tradition of software engineering. Software engineering as practiced today is more than the stereotypical monolithic lifecycle processes (e.g. waterfall, spiral, etc.) that historically have impeded progress for small/medium sized development efforts. In addition, the discipline and practice of software engineering includes software quality (with an established tradition of software metrics). Software processes can be pragmatic and use best features/practices of various models without impeding developer productivity. The embracement of these practices may also be important to prevent a brain drain of sorts, as students are increasingly eschewing traditional scientific/computation science research in favor of industry opportunities, where they can literally apply what they have learned in software development courses where pragmatic software engineering practices (e.g. test-driven design, RESTful architecture, etc.) are already prevalent.\\\"","tags":[],"title":"Software Engineering Need not be Difficult","type":"publication"},{"authors":["Mark Lewis","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969068,"objectID":"23f912396436cf9f0241e6199fc716ae","permalink":"https://ssl.cs.luc.edu/publication/lewis-using-2013/","publishdate":"2023-02-09T18:57:47.834188Z","relpermalink":"/publication/lewis-using-2013/","section":"publication","summary":"Various hybrid-paradigm languages, designed to balance compile-time error detection, conciseness, and performance, have emerged. Scala, e.g., is interoperable with Java and has become an early leader in adoption, especially in the start-up and open-source spaces. Workshop participants experience Scala's value as a teaching language in the CS curriculum through four lecture-lab modules: In CS1, the read-eval-print loop and simple, uniform syntax aid programming in the small. In CS2, higher-order methods allow concise, efficient manipulation of collections. Advanced topics include domain-specific languages, concurrency, web apps/services, and mobile apps. Laptop recommended with Scala installed.","tags":[],"title":"Using Scala strategically across the undergraduate curriculum (abstract only)","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969063,"objectID":"bb2502b1d2f73f2a70df663b062d12a7","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-whats-2013/","publishdate":"2023-02-09T18:57:42.805644Z","relpermalink":"/publication/thiruvathukal-whats-2013/","section":"publication","summary":"","tags":[],"title":"What's in an Algorithm?","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969062,"objectID":"d1144158ff7a6c19785b016bc659d265","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-who-2013/","publishdate":"2023-02-09T18:57:42.612339Z","relpermalink":"/publication/thiruvathukal-who-2013/","section":"publication","summary":"","tags":[],"title":"Who Needs Tablets? We Do","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969064,"objectID":"c6b7a3fa6ccb5df92f9b00ea6f85f064","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-accelerating-2012/","publishdate":"2023-02-09T18:57:44.107912Z","relpermalink":"/publication/thiruvathukal-accelerating-2012/","section":"publication","summary":"","tags":[],"title":"Accelerating Learning with Distance Education and Open Courseware","type":"publication"},{"authors":["Steven E. Jones","George K. Thiruvathukal"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969049,"objectID":"f39e5bc58dddf13956728847f113ebbe","permalink":"https://ssl.cs.luc.edu/publication/jones-codename-2012/","publishdate":"2023-02-09T18:57:29.473412Z","relpermalink":"/publication/jones-codename-2012/","section":"publication","summary":"Nintendo's hugely popular and influential video game console system considered as technological device and social phenomenon. The Nintendo Wii, introduced in 2006, helped usher in a moment of retro-reinvention in video game play. This hugely popular console system, codenamed Revolution during development, signaled a turn away from fully immersive, time-consuming MMORPGs or forty-hour FPS games and back toward family fun in the living room. Players using the wireless motion-sensitive controller (the Wii Remote, or “Wiimote”) play with their whole bodies, waving, swinging, swaying. The mimetic interface shifts attention from what's on the screen to what's happening in physical space. This book describes the Wii's impact in technological, social, and cultural terms, examining the Wii as a system of interrelated hardware and software that was consciously designed to promote social play in physical space. Each chapter of Codename Revolution focuses on a major component of the Wii as a platform: the console itself, designed to be low-powered and nimble; the iconic Wii Remote; Wii Fit Plus, and its controller, the Wii Balance Board; the Wii Channels interface and Nintendo's distribution system; and the Wii as a social platform that not only affords multiplayer options but also encourages social interaction in shared physical space. Finally, the authors connect the Wii's revolution in mimetic interface gaming—which eventually led to the release of Sony's Move and Microsoft's Kinect—to some of the economic and technological conditions that influence the possibility of making something new in this arena of computing and culture.","tags":[],"title":"Codename Revolution: The Nintendo WII Platform (Platform Studies)","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969064,"objectID":"d756754d9dfcb6a581c7e7f611788a03","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-digging-2012/","publishdate":"2023-02-09T18:57:43.794893Z","relpermalink":"/publication/thiruvathukal-digging-2012/","section":"publication","summary":"","tags":[],"title":"Digging into Data","type":"publication"},{"authors":["Dejan Milojicic","Martin Arlitt","Doree D. Seligmann","George K. Thiruvathukal","Christian Timmerer"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969064,"objectID":"6def25f756edbc13dab268e0ad62ae3b","permalink":"https://ssl.cs.luc.edu/publication/milojicic-innovation-2012/","publishdate":"2023-02-09T18:57:44.280051Z","relpermalink":"/publication/milojicic-innovation-2012/","section":"publication","summary":"","tags":[],"title":"Innovation Mashups: Academic Rigor Meets Social Networking Buzz","type":"publication"},{"authors":["Joe P. Kaylor"," Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"07e669f5998656ecd3d099aea1b0d387","permalink":"https://ssl.cs.luc.edu/publication/kaylor-simplifying-2012/","publishdate":"2023-02-09T18:57:35.824788Z","relpermalink":"/publication/kaylor-simplifying-2012/","section":"publication","summary":"","tags":[],"title":"Simplifying Domain Modeling and Memory Management in User-Mode Filesystems with the NOFS Framework","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969065,"objectID":"bd1333d8211002d24293abe83a3fd2a2","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-beyond-2011/","publishdate":"2023-02-09T18:57:45.116401Z","relpermalink":"/publication/thiruvathukal-beyond-2011/","section":"publication","summary":"","tags":[],"title":"Beyond CiSE and Back to the Future","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969065,"objectID":"c1677911296aa798d082b6ee26e0a7fa","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-books-2011/","publishdate":"2023-02-09T18:57:44.794363Z","relpermalink":"/publication/thiruvathukal-books-2011/","section":"publication","summary":"Two books are reviewed in this issue.","tags":[],"title":"Books [reviews of \\\"Networks, Crowds, and Markets: Reasoning about a Highly-Connected World; Easley, D. and Kleinberg, J.; 2010 and \\\"Introduction to High Performance Computing for Scientists and Engineers\\\"; Hager, G. and Wellein, G.; 2011)]","type":"publication"},{"authors":["Konstantin Läufer","George K. Thiruvathukal","David B. Dennis"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969064,"objectID":"7705be729bfff88db07c6d62bc663fbf","permalink":"https://ssl.cs.luc.edu/publication/laufer-moving-2011/","publishdate":"2023-02-09T18:57:44.607379Z","relpermalink":"/publication/laufer-moving-2011/","section":"publication","summary":"","tags":[],"title":"Moving Academic Department Functions to Social Networks and Clouds: Initial Experiences","type":"publication"},{"authors":["Joe P. Kaylor","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"4b7fbfd7441b20953579dcd1b7c6345d","permalink":"https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/","publishdate":"2023-02-09T18:57:36.039441Z","relpermalink":"/publication/kaylor-restfs-2011-1/","section":"publication","summary":"We have designed and implemented RestFS, a software framework that provides a uniform, configurable connector layer for mapping remote web-based resources to local filesystem-based resources, recognizing the similarity between these two types of resources. Such mappings enable programmatic access to a resource, as well as composition of two or more resources, through the local operating system's standard filesystem application programming interface (API), scriptable file-based command-line utilities, and inter-process communication (IPC) mechanisms. The framework supports automatic and manual authentication. We include several examples intended to show the utility and practicality of our framework.","tags":[],"title":"RestFS: Resources are Filesystems, too","type":"publication"},{"authors":["Joseph P. Kaylor","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969049,"objectID":"cecff55e80eb418e8e29daff9b884acb","permalink":"https://ssl.cs.luc.edu/publication/kaylor-restfs-2011/","publishdate":"2023-02-09T18:57:29.654773Z","relpermalink":"/publication/kaylor-restfs-2011/","section":"publication","summary":"","tags":[],"title":"RestFS: The Filesystem as a Connector Abstraction for Flexible Resource and Service Composition","type":"publication"},{"authors":["Steven E. Jones","George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"a5e5d5bc5ba163396ebe5432c4833780","permalink":"https://ssl.cs.luc.edu/publication/jones-object-2011/","publishdate":"2023-02-09T18:57:36.216584Z","relpermalink":"/publication/jones-object-2011/","section":"publication","summary":"Racing the Beam: The Atari Video Computer System,by Ian Bogost and Nick Montfort, inaugurated thePlatform Studies series at MIT Press in 2009.We’ve coauthored a new book in the series, Codename: Revolution: the Nintendo Wii Video Game Console. Platform studies is a quintessentially Digital Humanities approach, since it’s explicitly focused on the interrelationship of computing and cultural expression. According to the series preface, the goal of platform studies is “to consider the lowest level of computing systems and to understand how these systems relate to culture and creativity.”In practice, this involves paying close attentionto specific hardware and software interactions–to the vertical relationships between a platform’s multilayered materialities (Hayles; Kirschenbaum),from transistors to code to cultural reception. Any given act of platform-studies analysis may focus for example on the relationship between the chipset and the OS, or between the graphics processor and display parameters or game developers’ designs.In computing terms, platform is an abstraction(Bogost and Montfort), a pragmatic frame placed around whatever hardware-and-software configuration is required in order to build or run certain specificapplications (including creative works). The object of platform studies is thus a shifting series of possibility spaces, any number of dynamic thresholds between discrete levels of a system.","tags":[],"title":"The Object of Platform Studies: Relational Materialities and the Social Platform (the Case of the Nintendo Wii)","type":"publication"},{"authors":["George K. Thiruvathukal","Steven E. Jones","Peter Shillingsburg"],"categories":[],"content":"","date":1262304e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"7f08ba77e72165a16049430d9cc85a06","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/","publishdate":"2023-02-09T18:57:36.370678Z","relpermalink":"/publication/thiruvathukal-e-carrel-2010/","section":"publication","summary":"The E-Carrel project aims to address the preservation of, access to, and re-uses of humanities electronic text files. It enables dynamic, growing resource projects as repositories for new knowledge. It provides for on-line distributed data and tools that are open to new scholarly enhancement through a user friendly tagging tool, sophisticated use of stand-off markup and annotation (leveraging RDF capabilities), and a browsing system anyone can use. It creates a secure system of text preparation and dissemination that encourages collaboration and participation by anyone interested in the texts. To insure the endurance of authenticated texts, multiple copies are distributed on the Internet. Foundation texts anchor a system for maintaining and growing project usefulness beyond the originators’ interest and the functions they imagined. Increasing access to humanities texts as useful, adaptable, reliable source materials that can be re-purposed will increase interest in continued maintenance, which are critical for long-term preservation and access.","tags":[],"title":"E-Carrel: An Environment for Collaborative Textual Scholarship","type":"publication"},{"authors":["George K. Thiruvathukal","Konstantin Läufer","Konrad Hinsen","Joe P. Kaylor"],"categories":[],"content":"","date":1262304e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969065,"objectID":"a8ecde26840c1312d8cf32a5ccb5798d","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-virtualization-2010/","publishdate":"2023-02-09T18:57:45.620086Z","relpermalink":"/publication/thiruvathukal-virtualization-2010/","section":"publication","summary":"","tags":[],"title":"Virtualization for Computational Scientists","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1262304e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969065,"objectID":"43174ff2550acc297ccddcfe8f2d727f","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-your-2010/","publishdate":"2023-02-09T18:57:45.285001Z","relpermalink":"/publication/thiruvathukal-your-2010/","section":"publication","summary":"","tags":[],"title":"Your Local Cloud-Enabled Library","type":"publication"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"c1d17ff2b20dca0ad6653a3161942b64","permalink":"https://ssl.cs.luc.edu/people/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/people/","section":"","summary":"","tags":null,"title":"","type":"widget_page"}]
\ No newline at end of file
+[{"authors":["AbhinavGoel"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"341dc523f7e920e29a8c55c2ec509ecd","permalink":"https://ssl.cs.luc.edu/author/abhinav-goel/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/abhinav-goel/","section":"authors","summary":"","tags":null,"title":"Abhinav Goel","type":"authors"},{"authors":["AlexanderRose"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"103ad7576c43ce36af38174c1fb11f35","permalink":"https://ssl.cs.luc.edu/author/alexander-rose/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/alexander-rose/","section":"authors","summary":"","tags":null,"title":"Alexander Rose","type":"authors"},{"authors":["AlexandraCrane"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"9af8c751fdfdb5d81c5dbde4259d9158","permalink":"https://ssl.cs.luc.edu/author/alexandra-crane/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/alexandra-crane/","section":"authors","summary":"","tags":null,"title":"Alexandra Crane","type":"authors"},{"authors":["AllanMiller"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"f130e344dab75dfe0767b166f7bd91d6","permalink":"https://ssl.cs.luc.edu/author/allan-miller/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/allan-miller/","section":"authors","summary":"","tags":null,"title":"Allan Miller","type":"authors"},{"authors":["AmolSayala"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"05225441257dd2ebefebcae8260ce8fc","permalink":"https://ssl.cs.luc.edu/author/amol-sayala/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/amol-sayala/","section":"authors","summary":"","tags":null,"title":"Amol Sayala","type":"authors"},{"authors":["AndrewLake"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"e42af603cfca508c362b7adfcf06835c","permalink":"https://ssl.cs.luc.edu/author/andrew-lake/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/andrew-lake/","section":"authors","summary":"","tags":null,"title":"Andrew Lake","type":"authors"},{"authors":["AreejImran"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"e6959030f53bbf15127a0d8ca171d5f9","permalink":"https://ssl.cs.luc.edu/author/areej-imran/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/areej-imran/","section":"authors","summary":"","tags":null,"title":"Areej Imran","type":"authors"},{"authors":["AustinPinderski"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"5fa4cc3e6bbfe5d8436efafa170573f9","permalink":"https://ssl.cs.luc.edu/author/austin-pinderski/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/austin-pinderski/","section":"authors","summary":"","tags":null,"title":"Austin 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Jiang","type":"authors"},{"authors":["XiaoYongJin"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"aad418f74bf92b89cee2451a2033cf99","permalink":"https://ssl.cs.luc.edu/author/xiao-yong-jin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/xiao-yong-jin/","section":"authors","summary":"","tags":null,"title":"Xiao-Yong Jin","type":"authors"},{"authors":["YungHsiangLu"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"c01e4828affad94b09b37d5729f5ed65","permalink":"https://ssl.cs.luc.edu/author/yung-hsiang-lu/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/yung-hsiang-lu/","section":"authors","summary":"","tags":null,"title":"Yung-Hsiang Lu","type":"authors"},{"authors":["YvetteDiaz"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"7a2e4ea53f4aa4cb019bbd3eed0f5a9d","permalink":"https://ssl.cs.luc.edu/author/yvette-diaz/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/yvette-diaz/","section":"authors","summary":"","tags":null,"title":"Yvette Diaz","type":"authors"},{"authors":["ZacharyGallagher"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"5932385151589aca14f85655d3a250f1","permalink":"https://ssl.cs.luc.edu/author/zachary-gallagher/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/zachary-gallagher/","section":"authors","summary":"","tags":null,"title":"Zachary Gallagher","type":"authors"},{"authors":["Wenxin Jiang","Nicholas Synovic","Rohan Sethi","Aryan Indarapu","Matt Hyatt","Taylor R. Schorlemmer","George K. Thiruvathukal","James C. Davis"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"86e8e7cb10925e8c4c8401bc5633bc97","permalink":"https://ssl.cs.luc.edu/publication/jiang-empirical-2022/","publishdate":"2023-02-09T18:57:30.57661Z","relpermalink":"/publication/jiang-empirical-2022/","section":"publication","summary":"Deep neural networks achieve state-of-the-art performance on many tasks, but require increasingly complex architectures and costly training procedures. Engineers can reduce costs by reusing a pre-trained model (PTM) and fine-tuning it for their own tasks. To facilitate software reuse, engineers collaborate around model hubs, collections of PTMs and datasets organized by problem domain. Although model hubs are now comparable in popularity and size to other software ecosystems, the associated PTM supply chain has not yet been examined from a software engineering perspective. We present an empirical study of artifacts and security features in 8 model hubs. We indicate the potential threat models and show that the existing defenses are insufficient for ensuring the security of PTMs. We compare PTM and traditional supply chains, and propose directions for further measurements and tools to increase the reliability of the PTM supply chain.","tags":["Machine learning","Empirical software engineering","Deep neural networks","Model hubs","Software reuse","Software supply chain"],"title":"An Empirical Study of Artifacts and Security Risks in the Pre-Trained Model Supply Chain","type":"publication"},{"authors":["Yucheng Yang","Jack West","George K. Thiruvathukal","Neil Klingensmith","Kassem Fawaz"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"c255dfae60004ab8c8519400ca359e8d","permalink":"https://ssl.cs.luc.edu/publication/yang-are-2022/","publishdate":"2023-02-09T18:57:30.023596Z","relpermalink":"/publication/yang-are-2022/","section":"publication","summary":"","tags":[],"title":"Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Nick Eliopoulos","Xiao Hu","George K. Thiruvathukal","James C. Davis","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"919cd03cdf9772df26be2133362eefb7","permalink":"https://ssl.cs.luc.edu/publication/goel-directed-2022/","publishdate":"2023-02-09T18:57:30.200335Z","relpermalink":"/publication/goel-directed-2022/","section":"publication","summary":"Processing visual data on mobile devices has many applications, e.g., emergency response and tracking. State-of-the-art computer vision techniques rely on large Deep Neural Networks (DNNs) that are usually too power-hungry to be deployed on resource-constrained edge devices. Many techniques improve DNN efficiency of DNNs by compromising accuracy. However, the accuracy and efficiency of these techniques cannot be adapted for diverse edge applications with different hardware constraints and accuracy requirements. This paper demonstrates that a recent, efficient tree-based DNN architecture, called the hierarchical DNN, can be converted into a Directed Acyclic Graph-based (DAG) architecture to provide tunable accuracy-efficiency tradeoff options. We propose a systematic method that identifies the connections that must be added to convert the tree to a DAG to improve accuracy. We conduct experiments on popular edge devices and show that increasing the connectivity of the DAG improves the accuracy to within 1% of the existing high accuracy techniques. Our approach requires 93% less memory, 43% less energy, and 49% fewer operations than the high accuracy techniques, thus providing more accuracy-efficiency configurations.","tags":[],"title":"Directed Acyclic Graph-Based Neural Networks for Tunable Low-Power Computer Vision","type":"publication"},{"authors":["George K. Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"0ed05939c6094062216e37e78fededeb","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-efficient-2022/","publishdate":"2023-02-09T18:57:39.119591Z","relpermalink":"/publication/thiruvathukal-efficient-2022/","section":"publication","summary":"","tags":[],"title":"Efficient Computer Vision for Embedded Systems","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Xiao Hu","George K. Thiruvathukal","James C. Davis","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"27e81a195afb1092f4bc56fb369cdd96","permalink":"https://ssl.cs.luc.edu/publication/goel-efficient-2022/","publishdate":"2023-02-09T18:57:30.383658Z","relpermalink":"/publication/goel-efficient-2022/","section":"publication","summary":"Computer vision on low-power edge devices enables applications including search-and-rescue and security. State-of-the-art computer vision algorithms, such as Deep Neural Networks (DNNs), are too large for inference on low-power edge devices. To improve efficiency, some existing approaches parallelize DNN inference across multiple edge devices. However, these techniques introduce significant communication and synchronization overheads or are unable to balance workloads across devices. This paper demonstrates that the hierarchical DNN architecture is well suited for parallel processing on multiple edge devices. We design a novel method that creates a parallel inference pipeline for computer vision problems that use hierarchical DNNs. The method balances loads across the collaborating devices and reduces communication costs to facilitate the processing of multiple video frames simultaneously with higher throughput. Our experiments consider a representative computer vision problem where image recognition is performed on each video frame, running on multiple Raspberry Pi 4Bs. With four collaborating low-power edge devices, our approach achieves 3.21X higher throughput, 68% less energy consumption per device per frame, and 58% decrease in memory when compared with existing single-device hierarchical DNNs.","tags":[],"title":"Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks","type":"publication"},{"authors":["Jakob Veselsky","Jack West","Isaac Ahlgren","George K. Thiruvathukal","Neil Klingensmith","Abhinav Goel","Wenxin Jiang","James C. Davis","Kyuin Lee","Younghyun Kim"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969068,"objectID":"40caac2240089f17ba651e4b581f2d67","permalink":"https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/","publishdate":"2023-02-09T18:57:48.2949Z","relpermalink":"/publication/veselsky-establishing-2022-1/","section":"publication","summary":"As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing before deployment, AV systems are not perfect at identifying hazards in the roadway. Although a particular AV’s sensors and software may not be 100% accurate at identifying hazards, there is an untapped pool of information held by other AVs in the vicinity that could be used to quickly and accurately identify roadway hazards before they present a safety threat.","tags":[],"title":"Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach","type":"publication"},{"authors":["Jakob Veselsky","Jack West","Isaac Ahlgren","George K. Thiruvathukal","Neil Klingensmith","Abhinav Goel","Wenxin Jiang","James C. Davis","Kyuin Lee","Younghyun Kim"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969068,"objectID":"5b113f2ceda892a7d928181f6bf9990e","permalink":"https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/","publishdate":"2023-02-09T18:57:48.120455Z","relpermalink":"/publication/veselsky-establishing-2022/","section":"publication","summary":"As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing before deployment, AV systems are not perfect at identifying hazards in the roadway. Although a particular AV’s sensors and software may not be 100 percent accurate at identifying hazards, there is an untapped pool of information held by other AVs in the vicinity that could be used to quickly and accurately identify roadway hazards before they present a safety threat.","tags":[],"title":"Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach","type":"publication"},{"authors":["Caleb Tung","Abhinav Goel","Xiao Hu","Nick Eliopoulos","Emmanuel S. Amobi","George K. Thiruvathukal","Vipin Chaudhary","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"079667a815178fc9cc7bc1ff466bfdac","permalink":"https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/","publishdate":"2023-02-09T18:57:29.827361Z","relpermalink":"/publication/tung-irrelevant-2022/","section":"publication","summary":"","tags":[],"title":"Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision","type":"publication"},{"authors":["George K. Thiruvathukal","Yung-Hsiang Lu","Jaeyoun Kim","Yiran Chen","Bo Chen"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969049,"objectID":"54266ea0a79af9d5f3af5da131343d3e","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-low-power-2022/","publishdate":"2023-02-09T18:57:29.165091Z","relpermalink":"/publication/thiruvathukal-low-power-2022/","section":"publication","summary":"Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.","tags":[],"title":"Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Nick Eliopoulos","Amy Wang","James C. Davis","George K. Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"32326df0748a9368ad9daa71e11d895d","permalink":"https://ssl.cs.luc.edu/publication/goel-tree-based-2022/","publishdate":"2023-02-09T18:57:38.897946Z","relpermalink":"/publication/goel-tree-based-2022/","section":"publication","summary":"","tags":[],"title":"Tree-based Unidirectional Neural Networks for Low-Power Computer Vision","type":"publication"},{"authors":["Caleb Tung","Abhinav Goel","Fischer Bordwell","Nick Eliopoulos","Xiao Hu","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"83bae74dcaf2c63c91c82512db848735","permalink":"https://ssl.cs.luc.edu/publication/tung-why-2022/","publishdate":"2023-02-09T18:57:38.543869Z","relpermalink":"/publication/tung-why-2022/","section":"publication","summary":"","tags":[],"title":"Why Accuracy is Not Enough: The Need for Consistency in Object Detection","type":"publication"},{"authors":["Caleb Tung","Abhinav Goel","Fischer Bordwell","Nick John Eliopoulos","Xiao Hu","George K Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1640995200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"629c63005b56696146a928320620892c","permalink":"https://ssl.cs.luc.edu/publication/tung-why-2022-1/","publishdate":"2023-02-09T18:57:38.723365Z","relpermalink":"/publication/tung-why-2022-1/","section":"publication","summary":"","tags":[],"title":"Why Accuracy Is Not Enough: The Need for Consistency in Object Detection","type":"publication"},{"authors":["Vishnu Banna","Akhil Chinnakotla","Zhengxin Yan","Ani Vegesana","Naveen Vivek","Kruthi Krishnappa","Wenxin Jiang","Yung-Hsiang Lu","George K. Thiruvathukal","James C. Davis"],"categories":[],"content":"","date":1609459200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969068,"objectID":"7e9d159121914984e5d50fe657d8a052","permalink":"https://ssl.cs.luc.edu/publication/banna-experience-2021/","publishdate":"2023-02-09T18:57:48.657911Z","relpermalink":"/publication/banna-experience-2021/","section":"publication","summary":"Machine learning techniques are becoming a fundamental tool for scientific and engineering progress. These techniques are applied in contexts as diverse as astronomy and spam filtering. However, correctly applying these techniques requires careful engineering. Much attention has been paid to the technical potential; relatively little attention has been paid to the software engineering process required to bring research-based machine learning techniques into practical utility. Technology companies have supported the engineering community through machine learning frameworks such as TensorFLow and PyTorch, but the details of how to engineer complex machine learning models in these frameworks have remained hidden. To promote best practices within the engineering community, academic institutions and Google have partnered to launch a Special Interest Group on Machine Learning Models (SIGMODELS) whose goal is to develop exemplary implementations of prominent machine learning models in community locations such as the TensorFlow Model Garden (TFMG). The purpose of this report is to define a process for reproducing a state-of-the-art machine learning model at a level of quality suitable for inclusion in the TFMG. We define the engineering process and elaborate on each step, from paper analysis to model release. We report on our experiences implementing the YOLO model family with a team of 26 student researchers, share the tools we developed, and describe the lessons we learned along the way.","tags":[],"title":"An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors","type":"publication"},{"authors":["Ryan Dailey","Aniesh Chawla","Andrew Liu","Sripath Mishra","Ling Zhang","Josh Majors","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1609459200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"fb39c476124cf72a45c4ac0aff33d7ba","permalink":"https://ssl.cs.luc.edu/publication/dailey-automated-2021/","publishdate":"2023-02-09T18:57:36.739741Z","relpermalink":"/publication/dailey-automated-2021/","section":"publication","summary":"Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks. Network cameras offer real-time visual data that can be used for studying traffic patterns, emergency response, security, and other applications. Although many sources of Network Camera data are available, collecting the data remains difficult due to variations in programming interface and website structures. Previous solutions rely on manually parsing the target website, taking many hours to complete. We create a general and automated solution for aggregating Network Camera data spread across thousands of uniquely structured webpages. We analyze heterogeneous webpage structures and identify common characteristics among 73 sample Network Camera websites (each website has multiple web pages). These characteristics are then used to build an automated camera discovery module that crawls and aggregates Network Camera data. Our system successfully extracts 57,364 Network Cameras from 237,257 unique web pages.","tags":[],"title":"Automated Discovery of Network Cameras inHeterogeneous Web Pages","type":"publication"},{"authors":["Jack West","Kyuin Lee","Suman Banerjee","Younghyun Kim","George K. Thiruvathukal","Neil Klingensmith"],"categories":[],"content":"","date":1609459200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969050,"objectID":"ec8ca5b4d642e0825823abdc29000088","permalink":"https://ssl.cs.luc.edu/publication/west-moonshine-2021/","publishdate":"2023-02-09T18:57:30.741173Z","relpermalink":"/publication/west-moonshine-2021/","section":"publication","summary":"Context-based authentication is a method for transparently validating another device's legitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no user involvement. However, there are gaps in our understanding of the theoretical limitations of environmental noise harvesting, making it difficult for researchers to build efficient algorithms for sampling environmental noise and distilling keys from that noise. This work explores the information-theoretic capacity of context-based authentication mechanisms to generate random bit strings from environmental noise sources with known properties. Using only mild assumptions about the source process's characteristics, we demonstrate that commonly-used bit extraction algorithms extract only about 10% of the available randomness from a source noise process. We present an efficient algorithm to improve the quality of keys generated by context-based methods and evaluate it on real key extraction hardware. Moonshine is a randomness distiller which is more efficient at extracting bits from an environmental entropy source than existing methods. Our techniques nearly double the quality of keys as measured by the NIST test suite, producing keys that can be used in real-world authentication scenarios.","tags":[],"title":"Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication","type":"publication"},{"authors":["Gregory J. Matthews","Karthik Bharath","Sebastian Kurtek","Juliet K. Brophy","George K. Thiruvathukal","Ofer Harel"],"categories":[],"content":"","date":1609459200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"fbf4064f1ef874eda212472fa32238d6","permalink":"https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/","publishdate":"2023-02-09T18:57:36.561443Z","relpermalink":"/publication/matthews-shape-based-2021/","section":"publication","summary":"We consider the problem of classifying curves when they are observed only partially on their parameter domains. We propose computational methods for (i) completion of partially observed curves; (ii) assessment of completion variability through a nonparametric multiple imputation procedure; (iii) development of nearest neighbor classifiers compatible with the completion techniques. Our contributions are founded on exploiting the geometric notion of shape of a curve, defined as those aspects of a curve that remain unchanged under translations, rotations and reparameterizations. Explicit incorporation of shape information into the computational methods plays the dual role of limiting the set of all possible completions of a curve to those with similar shape while simultaneously enabling more efficient use of training data in the classifier through shape-informed neighborhoods. Our methods are then used for taxonomic classification of partially observed curves arising from images of fossilized Bovidae teeth, obtained from a novel anthropological application concerning paleoenvironmental reconstruction.","tags":[],"title":"Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology","type":"publication"},{"authors":["Sara Aghajanzadeh","Roopasree Naidu","Shuo-Han Chen","Caleb Tung","Abhinav Goel","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1601510400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"1b189ead28a46644ce853c2af19b19d5","permalink":"https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/","publishdate":"2023-02-09T18:57:31.680194Z","relpermalink":"/publication/aghajanzadeh-camera-2020/","section":"publication","summary":"In the blooming era of smart edge devices, surveillance cameras have been deployed in many locations. Surveillance cameras are most useful when they are spaced out to maximize coverage of an area. However, deciding where to place cameras is an NP-hard problem and researchers have proposed heuristic solutions. Existing work does not consider a significant restriction of computer vision: in order to track a moving object, the object must occupy enough pixels. The number of pixels depends on many factors (How far away is the object? What is the camera resolution? What is the focal length?). In this study, we propose a camera placement method that identifies effective camera placement in arbitrary spaces and can account for different camera types as well. Our strategy represents spaces as polygons, then uses a greedy algorithm to partition the polygons and determine the cameras’ locations to provide the desired coverage. Our solution also makes it possible to perform object tracking via overlapping camera placement. Our method is evaluated against complex shapes and real-world museum floor plans, achieving up to 85% coverage and 25% overlap.","tags":[],"title":"Camera Placement Meeting Restrictions of Computer Vision","type":"publication"},{"authors":["Dario Dematties","Silvio B. Rizzi","George K. Thiruvathukal"],"categories":[],"content":"","date":159624e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"636958adab92736c4df886599217be38","permalink":"https://ssl.cs.luc.edu/publication/dematties-towards-2020-1/","publishdate":"2023-02-09T18:57:36.91086Z","relpermalink":"/publication/dematties-towards-2020-1/","section":"publication","summary":"Presentation at CyberColombia's Third HPC Summer School: Bio and Data Science Part 1 describes our work on developing a neurocomputational model inspired in specific features found in the mammalian cortex. Part 2 describes our software development efforts to build an HPC version of our work aimed at scalability on leadership class supercomputers, including a discussion of our strong and weak scaling results to date. Part 3 describes our efforts with software engineering and reproducibilty with a discussion of best practices for working with open source and hosting code, datasets, and analyses.","tags":[],"title":"Towards High-End Scalability on Bio-Inspired Computational Models","type":"publication"},{"authors":["Aditya Chakraborty","Akshay Pawar","Hojoung Jang","Shunqiao Huang","Sripath Mishra","Chen Shuo-Han","Yan-Hao Chang","George K. Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1593561600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"759d6718c3e28ff48dd0f40800f7cbdd","permalink":"https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/","publishdate":"2023-02-09T18:57:31.491904Z","relpermalink":"/publication/chakraborty-real-time-2020/","section":"publication","summary":"Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The feature-based indexing technique provides an effective way for users to search video content through visual features, such as object categories (e.g., cars and persons). However, due to the reliance on offline processing, video streams along with their captured features cannot be searchable immediately after video streams are recorded. According to our investigation, buffering and storing live video steams are more time-consuming than the YOLO v3 object detector. Such observation motivates us to propose a real-time feature indexing (RTFI) system to enable instantaneous feature-based indexing on live video streams after video streams are captured and processed through object detectors. RTFI achieves its real-time goal via incorporating the novel design of metadata structure and data placement, the capability of modern object detector (i.e., YOLO v3), and the deduplication techniques to avoid storing repetitive video content. Notably, RTFI is the first system design for realizing real-time feature-based indexing on live video streams. RTFI is implemented on a Linux server and can improve the system throughput by upto 10.60x, compared with the base system without the proposed design. In addition, RTFI is able to make the video content searchable within 20 milliseconds for 10 live video streams after the video content is received by the proposed system, excluding the network transfer latency.","tags":[],"title":"A Real-Time Feature Indexing System on Live Video Streams","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1590969600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"3adb3c145c9dc83643a7309dc3acdba4","permalink":"https://ssl.cs.luc.edu/publication/goel-survey-2020/","publishdate":"2023-02-09T18:57:31.282315Z","relpermalink":"/publication/goel-survey-2020/","section":"publication","summary":"Deep neural networks (DNNs) are successful in many computer vision tasks. However, the most accurate DNNs require millions of parameters and operations, making them energy, computation and memory intensive. This impedes the deployment of large DNNs in low-power devices with limited compute resources. Recent research improves DNN models by reducing the memory requirement, energy consumption, and number of operations without significantly decreasing the accuracy. This paper surveys the progress of low-power deep learning and computer vision, specifically in regards to inference, and discusses the methods for compacting and accelerating DNN models. The techniques can be divided into four major categories: (1) parameter quantization and pruning, (2) compressed convolutional filters and matrix factorization, (3) network architecture search, and (4) knowledge distillation. We analyze the accuracy, advantages, disadvantages, and potential solutions to the problems with the techniques in each category. We also discuss new evaluation metrics as a guideline for future research.","tags":[],"title":"A Survey of Methods for Low-Power Deep Learning and Computer Vision","type":"publication"},{"authors":["Jack West","Neil Klingensmith","George K. Thiruvathukal"],"categories":[],"content":"","date":1585699200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"47bf0beab44920e487766eb065a74f36","permalink":"https://ssl.cs.luc.edu/publication/west-flic-2020/","publishdate":"2023-02-09T18:57:31.852129Z","relpermalink":"/publication/west-flic-2020/","section":"publication","summary":"We present FLIC, a distributed software data caching framework for fogs that reduces network traffic and latency. FLIC is targeted toward city-scale deployments of cooperative IoT devices in which each node gathers and shares data with surrounding devices. As machine learning and other data processing techniques that require large volumes of training data are ported to low-cost and low-power IoT systems, we expect that data analysis will be moved away from the cloud. Separation from the cloud will reduce reliance on power-hungry centralized cloud-based infrastructure. However, city-scale deployments of cooperative IoT devices often connect to the Internet with cellular service, in which service charges are proportional to network usage. IoT system architects must be clever in order to keep costs down in these scenarios. To reduce the network bandwidth required to operate city-scale deployments of cooperative IoT systems, FLIC implements a distributed cache on the IoT nodes in the fog. FLIC allows the IoT network to share its data without repetitively interacting with a simple cloud storage service, reducing calls out to a backing store. Our results displayed a less than 2% miss rate on reads. Thus, allowing for only 5% of requests needing the backing store. We were also able to achieve more than 50% reduction in bytes transmitted per second.","tags":[],"title":"FLIC: A Distributed Fog Cache for City-Scale Applications","type":"publication"},{"authors":["Dario Dematties","Silvio Rizzi","George K. Thiruvathukal","Mauricio David Pérez","Alejandro Wainselboim","B. Silvano Zanutto"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"78f5f4ae94cabc6dbb3f78c2c5ef361c","permalink":"https://ssl.cs.luc.edu/publication/dematties-computational-2020/","publishdate":"2023-02-09T18:57:37.139654Z","relpermalink":"/publication/dematties-computational-2020/","section":"publication","summary":"A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational bases of this phenomenon, we argue that these theories could potentially benefit by including neurophysiological data concerning cortical dynamics constraints in brain tissue. In addition, some theories promote the integration of complex optimization methods in neural tissue. In this paper we attempt to fill these gaps introducing a computational model inspired in the dynamics of cortical tissue. In our modeling approach, proximal afferent dendrites produce stochastic cellular activations, while distal dendritic branches–on the other hand–contribute independently to somatic depolarization by means of dendritic spikes, and finally, prediction failures produce massive firing events preventing formation of sparse distributed representations. The model presented in this paper combines semantic and coarse-grained syntactic constraints for each word in a sentence context until grammatically related word function discrimination emerges spontaneously by the sole correlation of lexical information from different sources without applying complex optimization methods. By means of support vector machine techniques, we show that the sparse activation features returned by our approach are well suited—bootstrapping from the features returned by Word Embedding mechanisms—to accomplish grammatical function classification of individual words in a sentence. In this way we develop a biologically guided computational explanation for linguistically relevant unification processes in cortex which connects psycholinguistics to neurobiological accounts of language. We also claim that the computational hypotheses established in this research could foster future work on biologically-inspired learning algorithms for natural language processing applications.","tags":[],"title":"A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics","type":"publication"},{"authors":["Brook Abegaz","Eric Chan-Tin","Neil Klingensmith","George K. Thiruvathukal"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"53117bccfd97bd76fa082389051c02d0","permalink":"https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/","publishdate":"2023-02-09T18:57:30.923957Z","relpermalink":"/publication/abegaz-addressing-2020/","section":"publication","summary":"In this paper, we address the detection of rogue autonomous vehicles using an integrated approach involving computer vision, activity monitoring and contextual information. The proposed approach can be used to detect rogue autonomous vehicles using sensors installed on observer vehicles that are used to monitor and identify the behavior of other autonomous vehicles operating on the road. The safe braking distance and the safe following time are computed to identify if an autonomous vehicle is behaving properly. Our preliminary results show that there is a wide variation in both the safe following time and the safe braking distance recorded using three autonomous vehicles in a test-bed. These initial results show significant progress for the future efforts to coordinate the operation of autonomous, semi-autonomous and non-autonomous vehicles.","tags":[],"title":"Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information","type":"publication"},{"authors":["Xiao Hu","Haobo Wang","Anirudh Vegesana","Somesh Dube","Kaiwen Yu","Gore Kao","Shuo-Han Chen","Yung-Hsiang Lu","George K. Thiruvathukal","Ming Yin"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"572116e0bd1a54d8aef95cd9db4b5bc9","permalink":"https://ssl.cs.luc.edu/publication/hu-crowdsourcing-2020/","publishdate":"2023-02-09T18:57:32.231665Z","relpermalink":"/publication/hu-crowdsourcing-2020/","section":"publication","summary":"Despite many exciting innovations in computer vision, recent studies reveal a number of risks in existing computer vision systems, suggesting results of such systems may be unfair and untrustworthy. Many of these risks can be partly attributed to the use of a training image dataset that exhibits sampling biases and thus does not accurately reflect the real visual world. Being able to detect potential sampling biases in the visual dataset prior to model development is thus essential for mitigating the fairness and trustworthy concerns in computer vision. In this paper, we propose a three-step crowdsourcing workflow to get humans into the loop for facilitating bias discovery in image datasets. Through two sets of evaluation studies, we find that the proposed workflow can effectively organize the crowd to detect sampling biases in both datasets that are artificially created with designed biases and real-world image datasets that are widely used in computer vision research and system development.","tags":[],"title":"Crowdsourcing Detection of Sampling Biases in Image Datasets","type":"publication"},{"authors":["Abhinav Goel","Caleb Tung","Sara Aghajanzadeh","Isha Ghodgaonkar","Shreya Ghosh","George K. Thiruvathukal","Yung-Hsiang Lu"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"409ade8cfa6cda6bfea617ed94c0de76","permalink":"https://ssl.cs.luc.edu/publication/goel-low-power-2020/","publishdate":"2023-02-09T18:57:32.062422Z","relpermalink":"/publication/goel-low-power-2020/","section":"publication","summary":"Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in many computer vision tasks, such as object counting. Object counting takes two inputs: an image and an object query and reports the number of occurrences of the queried object. To achieve high accuracy, DNNs require billions of operations, making them difficult to deploy on resource-constrained, low-power devices. Prior work shows that a significant number of DNN operations are redundant and can be eliminated without affecting the accuracy. To reduce these redundancies, we propose a hierarchical DNN architecture for object counting. This architecture uses a Region Proposal Network (RPN) to propose regions-of-interest (RoIs) that may contain the queried objects. A hierarchical classifier then efficiently finds the RoIs that actually contain the queried objects. The hierarchy contains groups of visually similar object categories. Small DNNs at each node of the hierarchy classify between these groups. The RoIs are incrementally processed by the hierarchical classifier. If the object in an RoI is in the same group as the queried object, then the next DNN in the hierarchy processes the RoI further; otherwise, the RoI is discarded. By using a few small DNNs to process each image, this method reduces the memory requirement, inference time, energy consumption, and number of operations with negligible accuracy loss when compared with the existing techniques.","tags":[],"title":"Low-Power Object Counting with Hierarchical Neural Networks","type":"publication"},{"authors":["Isha Ghodgaonkar","Abhinav Goel","Fischer Bordwell","Caleb Tung","Sara Aghajanzadeh","Noah Curran","Ryan Chen","Kaiwen Yu","Sneha Mahapatra","Vishnu Banna","Gore Kao","Kate Lee","Xiao Hu","Nick Eliopolous","Akhil Chinnakotla","Damini Rijhwani","Ashley Kim","Aditya Chakraborty","Mark Daniel Ward","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969069,"objectID":"0cd417d67e494fdcf0aa2dc3a8170529","permalink":"https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/","publishdate":"2023-02-09T18:57:49.130662Z","relpermalink":"/publication/ghodgaonkar-observing-2020/","section":"publication","summary":"COVID-19 has resulted in a worldwide pandemic, leading to \\\"lockdown\\\" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observing these historical events are difficult because sending reporters to areas with many infected people can put the reporters' lives in danger. New technologies are needed for safely observing responses to these policies. This paper reports using thousands of network cameras deployed worldwide for the purpose of witnessing activities in response to the policies. The network cameras can continuously provide real-time visual data (image and video) without human efforts. Thus, network cameras can be utilized to observe activities without risking the lives of reporters. This paper describes a project that uses network cameras to observe responses to governments' policies during the COVID-19 pandemic (March to April in 2020). The project discovers over 30,000 network cameras deployed in 110 countries. A set of computer tools are created to collect visual data from network cameras continuously during the pandemic. This paper describes the methods to discover network cameras on the Internet, the methods to collect and manage data, and preliminary results of data analysis. This project can be the foundation for observing the possible \\\"second wave\\\" in fall 2020. The data may be used for post-pandemic analysis by sociologists, public health experts, and meteorologists.","tags":[],"title":"Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras","type":"publication"},{"authors":["Allan Miller","George K. Thiruvathukal","Konstantin Läufer","Emmanuel Amobi","Sean Higgins","Linette Maliakal","Emily Meister","Jean-Luc Putter","Alex Rose","Nicholas Synovic","Sophie Von Hatten","Jonathan Warkentin","Martin Zugschwert"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969066,"objectID":"d72618ae727223d5dae321802a313539","permalink":"https://ssl.cs.luc.edu/publication/miller-toward-2020/","publishdate":"2023-02-09T18:57:45.806059Z","relpermalink":"/publication/miller-toward-2020/","section":"publication","summary":"Trust in open-source software is a cornerstone of scientific progress and a foundation of high-quality public services. Just as standards are integral when judging the efficacy of a novel pharmaceutical compound or determining the spread of a new disease, the software used to make those determinations should be useful, error-free, reliable, performant, and secure. A small bug in an application, library, or framework can lead to economic loss and even loss of life. We rely on software developers to be dynamic and responsive to user review and bug-reporting. Our team developed an open-source modular pipeline to perform empirical investigations of software quality. A key innovation of our approach is to look at projects “from a distance” similar to methods used in climate, e.g. satellite images being used to observe environmental impacts in air quality/rain forests. Instead of looking at language-specific source code features, our pipeline uses a language-agnostic high-level approach to track software quality by focusing on the development process itself, which yields great insight into the processes programmers use to write and maintain their software. Our distributed modular approach to analytics allows the pipeline to be easily extended to support additional metrics in future work. We store extracted data in an embedded SQLite database, which means that analysis can proceed without complex server setup, let alone hosting the software on dedicated servers. Our analytical modules are designed for efficiency, and future runs of our software only collect missing data, supporting the incremental analysis of known, important open-source projects.","tags":[],"title":"Toward a containerized pipeline for longitudinal analysis of open-source software projects","type":"publication"},{"authors":["Dario Dematties","George K. Thiruvathukal","Silvio B. Rizzi","Alejandro Wainselboim","B. Silvano Zanutto"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969051,"objectID":"632146fce32ebdb2f4c5557d5bb4c508","permalink":"https://ssl.cs.luc.edu/publication/dematties-towards-2020/","publishdate":"2023-02-09T18:57:31.113211Z","relpermalink":"/publication/dematties-towards-2020/","section":"publication","summary":"The interdisciplinary field of neuroscience has made significantprogress in recent decades, providing the scientific community in gen-eral with a new level of understanding on how the brain works beyondthe store-and-fire model found in traditional neural networks. Mean-while, Machine Learning (ML) based on established models has seena surge of interest in the High Performance Computing (HPC) com-munity, especially through the use of high-end accelerators, such asGraphical Processing Units (GPUs), including HPC clusters of same.In our work, we are motivated to exploit these high-performance com-puting developments and understand the scaling challenges for new–biologically inspired–learning models on leadership-class HPC resources.These emerging models feature sparse and random connectivity pro-files that map to more loosely-coupled parallel architectures with alarge number of CPU cores per node. Contrasted with traditional MLcodes, these methods exploit loosely-coupled sparse data structures asopposed to tightly-coupled dense matrix computations, which benefitfrom SIMD-style parallelism found on GPUs. In this paper we introducea hybrid Message Passing Interface (MPI) and Open Multi-Processing(OpenMP) parallelization scheme to accelerate and scale our computa-tional model based on the dynamics of cortical tissue. We ran compu-tational tests on a leadership class visualization and analysis cluster atArgonne National Laboratory. We include a study of strong and weakscaling, where we obtained parallel efficiency measures with a minimumabove 87% and a maximum above 97% for simulations of our biologicallyinspired neural network on up to 64 computing nodes running 8 threadseach. This study shows promise of the MPI+OpenMP hybrid approachto support flexible and biologically-inspired computational experimen-tal scenarios. In addition, we present the viability in the application ofthese strategies in high-end leadership computers in the future.","tags":[],"title":"Towards High-End Scalability on Biologically-Inspired Computational ModelsAuthors","type":"publication"},{"authors":["Jack West","Tien VoNguyen","Isaac Ahlgren","Iryna Motyashok","George K. Thiruvathukal","Neil Klingensmith"],"categories":[],"content":"","date":1577836800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969069,"objectID":"3843c45d2c73d0617d56be78dc0039cb","permalink":"https://ssl.cs.luc.edu/publication/west-voltkey-2020/","publishdate":"2023-02-09T18:57:48.852694Z","relpermalink":"/publication/west-voltkey-2020/","section":"publication","summary":"","tags":[],"title":"VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract)","type":"publication"},{"authors":["Ronald I. Greenberg","George K. Thiruvathukal"],"categories":[],"content":"","date":1569888e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"4c51f2e947c4d6eb188466cc99faaaff","permalink":"https://ssl.cs.luc.edu/publication/greenberg-exercises-2019/","publishdate":"2023-02-09T18:57:32.786769Z","relpermalink":"/publication/greenberg-exercises-2019/","section":"publication","summary":"This Innovative Practice Work in Progress presents progress in developing exercises for high school students incorporating level-appropriate mathematics into robotics activities. We assume mathematical foundations ranging from algebra to precalculus, whereas most prior work on integrating mathematics into robotics uses only very elementary mathematical reasoning or, at the other extreme, is comprised of technical papers or books using calculus and other advanced mathematics. The exercises suggested are relevant to any differential-drive robot, which is an appropriate model for many different varieties of educational robots. They guide students towards comparing a variety of natural navigational strategies making use of typical movement primitives. The exercises align with Common Core State Standards for Mathematics.","tags":[],"title":"Exercises Integrating High School Mathematics with Robot Motion Planning","type":"publication"},{"authors":["Y. Lu","G. K. Thiruvathukal","A. S. Kaseb","K. Gauen","D. Rijhwani","R. Dailey","D. Malik","Y. Huang","S. Aghajanzadeh","M. M. Guo"],"categories":[],"content":"","date":1569888e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"57db09d912681de63c4d78961401e144","permalink":"https://ssl.cs.luc.edu/publication/lu-see-2019/","publishdate":"2023-02-09T18:57:39.286935Z","relpermalink":"/publication/lu-see-2019/","section":"publication","summary":"Millions of network cameras have been deployed worldwide. Real-time data from many network cameras can offer instant views of multiple locations for many applications. We describe the real-time data available from these cameras and potential applications.","tags":["Visualization","Internet","Streaming media","Real-time systems","Ip networks","Cameras","Cameras","Network cameras","Urban areas"],"title":"See the World Through Network Cameras","type":"publication"},{"authors":["Juliet K. Brophy","Gregory J. Matthews","George K. Thiruvathukal"],"categories":[],"content":"","date":1561939200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"f7112000825e23562dcecea2c016ad8a","permalink":"https://ssl.cs.luc.edu/publication/brophy-analysis-2019/","publishdate":"2023-02-09T18:57:37.297664Z","relpermalink":"/publication/brophy-analysis-2019/","section":"publication","summary":"Previous research provides a method for reducing the subjectivity in molar tooth identification of animals in the family Bovidae, by quantifying the occlusal surface of teeth using elliptical Fourier analysis. This current paper specifically tests what effect teeth with medium to late wear have on the identification of bovid teeth when using the form (size and shape) of the occlusal surface to classify specimens.","tags":[],"title":"An Analysis of the Effect of Tooth Wear on Bovid Identification","type":"publication"},{"authors":["Z. Kapach","A. Ulmer","D. Merrick","A. Alikhan","Y. Lu","A. Mohan","A. S. Kaseb","G. K. Thiruvathukal"],"categories":[],"content":"","date":1561939200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"f550ac6063dff5b1ec39bf3b97d97479","permalink":"https://ssl.cs.luc.edu/publication/kapach-cloud-2019/","publishdate":"2023-02-09T18:57:39.443407Z","relpermalink":"/publication/kapach-cloud-2019/","section":"publication","summary":"Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows the most promise to provide the needed resources on demand. In this paper, we investigate how to allocate cloud resources when analyzing real-time data streams from network cameras. A resource manager considers many factors that affect its decisions, including the types of analysis, the number of data streams, and the locations of the cameras. The manager then selects the most cost-efficient types of cloud instances (e.g., central processing unit versus general-purpose graphics processing units) to meet the computational demands for analyzing streams. We evaluate the effectiveness of our approach using Amazon Web Services. Experiments demonstrate more than 50% cost reduction for real workloads.","tags":[],"title":"Cloud Resource Optimization for Processing Multiple Streams of Visual Data","type":"publication"},{"authors":["Sergei Alyamkin","Matthew Ardi","Alexander C. Berg","Achille Brighton","Bo Chen","Yiran Chen","Hsin-Pai Cheng","Zichen Fan","Chen Feng","Bo Fu","Kent Gauen","Abhinav Goel","Alexander Goncharenko","Xuyang Guo","Soonhoi Ha","Andrew Howard","Xiao Hu","Yuanjun Huang","Donghyun Kang","Jaeyoun Kim","Jong Gook Ko","Alexander Kondratyev","Junhyeok Lee","Seungjae Lee","Suwoong Lee","Zichao Li","Zhiyu Liang","Juzheng Liu","Xin Liu","Yang Lu","Yung-Hsiang Lu","Deeptanshu Malik","Hong Hanh Nguyen","Eunbyung Park","Denis Repin","Liang Shen","Tao Sheng","Fei Sun","David Svitov","George K. Thiruvathukal","Baiwu Zhang","Jingchi Zhang","Xiaopeng Zhang","Shaojie Zhuo"],"categories":[],"content":"","date":1559347200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"034bd4b73781c5bf20cc7cd4018b9554","permalink":"https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/","publishdate":"2023-02-09T18:57:37.529085Z","relpermalink":"/publication/alyamkin-low-power-2019/","section":"publication","summary":"Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions, and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries, and energy efficiency is critical. This paper serves the following two main purposes. First, examine the state of the art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This paper summarizes the 2018 winners' solutions. Second, suggest directions for research as well as opportunities for low-power computer vision.","tags":[],"title":"Low-Power Computer Vision: Status, Challenges, and Opportunities","type":"publication"},{"authors":["Dario Dematties","Silvio B. Rizzi","George K. Thiruvathukal","Alejandro Wainselboim","B. Silvano Zanutto"],"categories":[],"content":"","date":1559347200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969057,"objectID":"c8cb24b6cb8b48704b64032dd8423123","permalink":"https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/","publishdate":"2023-02-09T18:57:37.730708Z","relpermalink":"/publication/dematties-phonetic-2019/","section":"publication","summary":"Many computational theories have been developed to improve artificial phonetic classification performance from linguistic auditory streams. However, less attention has been given to psycholinguistic data and neurophysiological features recently found in cortical tissue. We focus on a context in which basic linguistic units–such as phonemes–are extracted and robustly classified by humans and other animals from complex acoustic streams in speech data. We are especially motivated by the fact that 8-month-old human infants can accomplish segmentation of words from fluent audio streams based exclusively on the statistical relationships between neighboring speech sounds without any kind of supervision. In this paper, we introduce a biologically inspired and fully unsupervised neurocomputational approach that incorporates key neurophysiological and anatomical cortical properties, including columnar organization, spontaneous micro-columnar formation, adaptation to contextual activations and Sparse Distributed Representations (SDRs) produced by means of partial N-Methyl-D-aspartic acid (NMDA) depolarization. Its feature abstraction capabilities show promising phonetic invariance and generalization attributes. Our model improves the performance of a Support Vector Machine (SVM) classifier for monosyllabic, disyllabic and trisyllabic word classification tasks in the presence of environmental disturbances such as white noise, reverberation, and pitch and voice variations. Furthermore, our approach emphasizes potential self-organizing cortical principles achieving improvement without any kind of optimization guidance which could minimize hypothetical loss functions by means of–for example–backpropagation. Thus, our computational model outperforms multiresolution spectro-temporal auditory feature representations using only the statistical sequential structure immerse in the phonotactic rules of the input stream.","tags":[],"title":"Phonetic Acquisition in Cortical Dynamics, a Computational Approach","type":"publication"},{"authors":["Caleb Tung","Matthew R. Kelleher","Ryan J. Schlueter","Binhan Xu","Yung-Hsiang Lu","George K. Thiruvathukal","Yen-Kuan. Chen","Yang Lu"],"categories":[],"content":"","date":1551398400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"cabca0239a39719b18de2c744e3e1187","permalink":"https://ssl.cs.luc.edu/publication/tung-large-scale-2019/","publishdate":"2023-02-09T18:57:33.020559Z","relpermalink":"/publication/tung-large-scale-2019/","section":"publication","summary":"Computer vision relies on labeled datasets for training and evaluation in detecting and recognizing objects. The popular computer vision program, YOLO (\\\"You Only Look Once\\\"), has been shown to accurately detect objects in many major image datasets. However, the images found in those datasets, are independent of one another and cannot be used to test YOLO's consistency at detecting the same object as its environment (e.g. ambient lighting) changes. This paper describes a novel effort to evaluate YOLO's consistency for large-scale applications. It does so by working (a) at large scale and (b) by using consecutive images from a curated network of public video cameras deployed in a variety of real-world situations, including traf?c intersections, national parks, shopping malls, university campuses, etc. We speci?cally examine YOLO's ability to detect objects in different scenarios (e.g., daytime vs. night), leveraging the cameras' ability to rapidly retrieve many successive images for evaluating detection consistency. Using our camera network and advanced computing resources (supercomputers), we analyzedmorethan5millionimagescapturedby140network cameras in 24 hours. Compared with labels marked by humans (considered as \\\"ground truth\\\"), YOLO struggles to consistently detect the same humans and cars as their positions change from one frame to the next; it also struggles to detect objects at night time. Our ?ndings suggest that state-of-the art vision solutions should be trained by data from network camera with contextual information before they can be deployed in applications that demand high consistency on object detection.","tags":[],"title":"Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions","type":"publication"},{"authors":["Arfon Smith","Lorena A. Barba","Daniel S. Katz","Kyle Niemeyer","Tania Allard","Juanjo Bazan","Jed Brown","Jason Clark","Roman Valls Guimera","Melissa Gymrek","Lindsey Heagy","Kathryn Huff","George K. Thiruvathukal","Christopher Madan","Kevin Moerman","Lorena Pantano","Viviane Pons","Jack Poulson","Pjotr Prins","Karthik Ram","Elizabeth Ramirez","Ariel Rokem","Kristen Thyng","Yo Yehudi"],"categories":[],"content":"","date":1548979200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969069,"objectID":"1afd7c6586c4024d46d4f592eae54778","permalink":"https://ssl.cs.luc.edu/publication/smith-siam-2019/","publishdate":"2023-02-09T18:57:49.646228Z","relpermalink":"/publication/smith-siam-2019/","section":"publication","summary":"","tags":[],"title":"SIAM CSE 2019 Minisymposterium: The Journal of Open Source Software","type":"publication"},{"authors":["George K. Thiruvathukal","Cameron Christensen","Xiaoyong Jin","François Tessier","Venkatram Vishwanath"],"categories":[],"content":"","date":1546300800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969069,"objectID":"92152088e3a0fe6bdee5e98861f0d2c2","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-benchmarking-2019/","publishdate":"2023-02-09T18:57:49.303072Z","relpermalink":"/publication/thiruvathukal-benchmarking-2019/","section":"publication","summary":"","tags":[],"title":"A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers","type":"publication"},{"authors":["Ronald I. Greenberg","George K. Thiruvathukal","Sara T. Greenberg"],"categories":[],"content":"","date":1546300800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"d8a706bd4f3f8fc4f2cef062a29edf83","permalink":"https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/","publishdate":"2023-02-09T18:57:32.405029Z","relpermalink":"/publication/greenberg-integrating-2019/","section":"publication","summary":"This paper shows how students can be guided to integrate elementary mathematical analyses with motion planning for typical educational robots. Rather than using calculus as in comprehensive works on motion planning, we show students can achieve interesting results using just simple linear regression tools and trigonometric analyses. Experiments with one robotics platform show that use of these tools can lead to passable navigation through dead reckoning even if students have limited experience with use of sensors, programming, and mathematics.","tags":[],"title":"Integrating Mathematics and Educational Robotics: Simple Motion Planning","type":"publication"},{"authors":["Konstantin Läufer","John O'Sullivan","George K. Thiruvathukal"],"categories":[],"content":"","date":1546300800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"d464b51617046e0b8d973f73ec34d513","permalink":"https://ssl.cs.luc.edu/publication/laufer-tests-2019/","publishdate":"2023-02-09T18:57:33.21037Z","relpermalink":"/publication/laufer-tests-2019/","section":"publication","summary":"In testing stateful abstractions, it is often necessary to record interactions, such as method invocations, and express assertions over these interactions. Following the Test Spy design pattern, we can reify such interactions programmatically through additional mutable state. Alternatively, a mocking framework, such as Mockito, can automatically generate test spies that allow us to record the interactions and express our expectations in a declarative domain-specific language. According to our study of the test code for Scala's Iterator trait, the latter approach can lead to a significant reduction of test code complexity in terms of metrics such as code size (in some cases over 70% smaller), cyclomatic complexity, and amount of additional mutable state required. In this tools paper, we argue that the resulting test code is not only more maintainable, readable, and intentional, but also a better stylistic match for the Scala community than manually implemented, explicitly stateful test spies.","tags":[],"title":"Tests as Maintainable Assets via Auto-Generated Spies: A Case Study Involving the Scala Collections Library's Iterator Trait","type":"publication"},{"authors":["Nasir U. Eisty","George K. Thiruvathukal","Jeffrey C. Carver"],"categories":[],"content":"","date":1546300800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969052,"objectID":"a4c2192f3fb97a8241d8760f1d4ad59b","permalink":"https://ssl.cs.luc.edu/publication/eisty-use-2019/","publishdate":"2023-02-09T18:57:32.620798Z","relpermalink":"/publication/eisty-use-2019/","section":"publication","summary":"Background: Developers face challenges in building high-quality research software due to its inherent complexity. These challenges can reduce the confidence users have in the quality of the result produced by the software. Use of a defined software development process, which divides the development into distinct phases, results in improved design, more trustworthy results, and better project management. Aims: This paper focuses on gaining a better understanding of the use of software development process for research software. Method: We surveyed research software developers to collect information about their use of software development processes. We analyze whether and demographic factors influence the respondents' use of and perceived value in defined process. Results: Based on 98 responses, research software developers appear to follow a defined software development process at least some of the time. The respondents also have a strong positive perception about the value of following processes. Conclusions: To produce high-quality and reliable research software, which is critical for many research domains, research software developers must follow a proper software development process. The results indicate a positive perception of value about using defined development processes that should lead to both short-term benefits through improved results and long-term benefits through more maintainable software.","tags":[],"title":"Use of Software Process in Research Software Development: A Survey","type":"publication"},{"authors":["Nasir U. Eisty","George K. Thiruvathukal","Jeffrey C. Carver"],"categories":[],"content":"","date":1538352e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"82236d142aea627c15580c770b343253","permalink":"https://ssl.cs.luc.edu/publication/eisty-survey-2018/","publishdate":"2023-02-09T18:57:33.777078Z","relpermalink":"/publication/eisty-survey-2018/","section":"publication","summary":"Background: Breakthroughs in research increasingly depend on complex software libraries, tools, and applications aimed at supporting specific science, engineering, business, or humanities disciplines. The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics relevant to research software corresponds to the metrics commonly used in traditional software engineering. Method: We surveyed research software developers to gather information about their knowledge and use of code metrics and software process metrics. We also analyzed the influence of demographics (project size, development role, and development stage) on these metrics. Results: The survey results, from 129 respondents, indicate that respondents have a general knowledge of metrics. However, their knowledge of specific SE metrics is lacking, their use even more limited. The most used metrics relate to performance and testing. Even though code complexity often poses a significant challenge to research software development, respondents did not indicate much use of code metrics. Conclusions: Research software developers appear to be interested and see some value in software metrics but may be encountering roadblocks when trying to use them. Further study is needed to determine the extent to which these metrics could provide value in continuous process improvement.","tags":[],"title":"A Survey of Software Metric Use in Research Software Development","type":"publication"},{"authors":["Chittayong Surakitbanharn","Calvin Yau","Guizhen Wang","Aniesh Chawla","Yinuo Pan","Zhaoya Sun","Sam Yellin","David Ebert","Yung-Hsiang Lu","George K. Thiruvathukal"],"categories":[],"content":"","date":1538352e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"a48be29b28d3aa554f6f1be1223c4e83","permalink":"https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/","publishdate":"2023-02-09T18:57:33.586553Z","relpermalink":"/publication/surakitbanharn-cross-referencing-2018/","section":"publication","summary":"Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content and frequency and content to determine the utility for emergency managers or first responders during a natural disaster.","tags":[],"title":"Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response","type":"publication"},{"authors":["Ahmed S. Kaseb","Bo Fu","Anup Mohan","Yung-Hsiang Lu","Amy Reibman","George K. Thiruvathukal"],"categories":[],"content":"","date":1522540800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"8a18247c3a0b17fc8dc508fb45393b93","permalink":"https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/","publishdate":"2023-02-09T18:57:33.947023Z","relpermalink":"/publication/kaseb-analyzing-2018-1/","section":"publication","summary":"Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies.","tags":[],"title":"Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud","type":"publication"},{"authors":["Sergei Alyamkin","Matthew Ardi","Achille Brighton","Alexander C. Berg","Yiran Chen","Hsin-Pai Cheng","Bo Chen","Zichen Fan","Chen Feng","Bo Fu","Kent Gauen","Jongkook Go","Alexander Goncharenko","Xuyang Guo","Hong Hanh Nguyen","Andrew Howard","Yuanjun Huang","Donghyun Kang","Jaeyoun Kim","Alexander Kondratyev","Seungjae Lee","Suwoong Lee","Junhyeok Lee","Zhiyu Liang","Xin Liu","Juzheng Liu","Zichao Li","Yang Lu","Yung-Hsiang Lu","Deeptanshu Malik","Eunbyung Park","Denis Repin","Tao Sheng","Liang Shen","Fei Sun","David Svitov","George K. Thiruvathukal","Baiwu Zhang","Jingchi Zhang","Xiaopeng Zhang","Shaojie Zhuo"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"93c5ddeee7099af2e505a5429dd2c7f6","permalink":"https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/","publishdate":"2023-02-09T18:57:34.145125Z","relpermalink":"/publication/alyamkin-2018-2018/","section":"publication","summary":"Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries and energy efficiency is critical. This article serves two main purposes: (1) Examine the state-of-the-art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This article summarizes 2018 winners' solutions. (2) Suggest directions for research as well as opportunities for low-power computer vision.","tags":[],"title":"2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities","type":"publication"},{"authors":["Gregory J. Matthews","Juliet K. Brophy","Hongie Gu","Maxwell P. Luetkemeier","George K. Thiruvathukal"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"cbe3982f351de46b4193a522f1dfd84d","permalink":"https://ssl.cs.luc.edu/publication/matthews-comparison-2018/","publishdate":"2023-02-09T18:57:37.901142Z","relpermalink":"/publication/matthews-comparison-2018/","section":"publication","summary":"This study explores the performance of modern, accurate machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically the most common fossils found in southern Africa and they often constitute the basis for paleoenvironmental reconstructions. Taxonomic identification of fossil bovid teeth, however, is often imprecise and subjective. Using modern teeth with known taxons, machine learning algorithms can be trained to classify fossils. Previous work by Brophy et. al. 2014 uses elliptical Fourier analysis of the form (size and shape) of the outline of the occlusal surface of each tooth as features in a linear discriminant analysis framework. This manuscript expands on that previous work by exploring how different machine learning approaches classify the teeth and testing which technique is best for classification. Five different machine learning techniques including linear discriminant analysis, neural networks, nuclear penalized multinomial regression, random forests, and support vector machines were used to estimate these models. Support vector machines and random forests perform the best in terms of both log-loss and misclassification rate; both of these methods are improvements over linear discriminant analysis. With the identification and application of these superior methods, bovid teeth can be classified with higher accuracy.","tags":[],"title":"A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae","type":"publication"},{"authors":["Ahmed S. Kaseb","Bo Fu","Anup Mohan","Yung-Hsiang Lu","Amy Reibman","George K. Thiruvathukal"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969053,"objectID":"7fa7753ec62e90ff42b7977d0959fa57","permalink":"https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/","publishdate":"2023-02-09T18:57:33.378635Z","relpermalink":"/publication/kaseb-analyzing-2018/","section":"publication","summary":"Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies.","tags":[],"title":"Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud","type":"publication"},{"authors":["Francis Sullivan","Norman Chonacky","Isabel Beichl","George K. Thiruvathukal"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969059,"objectID":"97938106aa7de034106dc9a8af6a7daa","permalink":"https://ssl.cs.luc.edu/publication/sullivan-former-2018/","publishdate":"2023-02-09T18:57:39.671187Z","relpermalink":"/publication/sullivan-former-2018/","section":"publication","summary":"Former CiSE EICs reflect on the magazine’s 20th anniversary.","tags":[],"title":"Former CiSE EICs Reflect on the Magazines 20th Anniversary","type":"publication"},{"authors":["Pamela L. Caughie","Nicholas J. Hayward","Mark Hussey","Peter J. Shillingsburg","George K. Thiruvathukal"],"categories":[],"content":"","date":1514764800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969066,"objectID":"0030d9ac9029434139699f33e03b20b2","permalink":"https://ssl.cs.luc.edu/publication/caughie-woolf-2018/","publishdate":"2023-02-09T18:57:46.112876Z","relpermalink":"/publication/caughie-woolf-2018/","section":"publication","summary":"","tags":[],"title":"Woolf Online","type":"publication"},{"authors":["Mike Lewis","George K. Thiruvathukal","Venkatram Vishwanath","Michael Papka","Andrew Johnson"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"0892876209e27f78655ab63fb4202768","permalink":"https://ssl.cs.luc.edu/publication/lewis-distributed-2017/","publishdate":"2023-02-09T18:57:34.30066Z","relpermalink":"/publication/lewis-distributed-2017/","section":"publication","summary":"Efficient RDF, graph based queries are becoming more pertinent based on the increased interest in data analytics and its intersection with large, unstructured but connected data. Many commercial systems have adopted distributed RDF graph systems in order to handle increasing dataset sizes and complex queries. This paper introduces a distribute graph approach to pre-processing linked data. Instead of traversing the memory graph, our system indexes pre-processed join elements that are organized in a graph structure. We analyze the Dbpedia data-set (derived from the Wikipedia corpus) and compare our access method to the graph traversal access approach which we also devise. Results show from our experiments that the distributed, pre-processed graph approach to accessing linked data is faster than the traversal approach over a specific range of linked queries.","tags":[],"title":"A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers","type":"publication"},{"authors":["Kent Gauen","Ryan Dailey","John Laiman","Yuxiang Zi","Nirmal Asokan","Yung-Hsiang Lu","George K. Thiruvathukal","Mei-Ling Shyu","Shu-Ching Chen"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"58a3ca3ecb4f58130a702c9d4cb95eae","permalink":"https://ssl.cs.luc.edu/publication/gauen-comparison-2017/","publishdate":"2023-02-09T18:57:34.522055Z","relpermalink":"/publication/gauen-comparison-2017/","section":"publication","summary":"One of the greatest technological improvements in recent years is the rapid progress using machine learning for processing visual data. Among all factors that contribute to this development, datasets with labels play crucial roles. Several datasets are widely reused for investigating and analyzing different solutions in machine learning. Many systems, such as autonomous vehicles, rely on components using machine learning for recognizing objects. This paper compares different visual datasets and frameworks for machine learning. The comparison is both qualitative and quantitative and investigates object detection labels with respect to size, location, and contextual information. This paper also presents a new approach creating datasets using real-time, geo-tagged visual data, greatly improving the contextual information of the data. The data could be automatically labeled by cross-referencing information from other sources (such as weather).","tags":[],"title":"Comparison of Visual Datasets for Machine Learning","type":"publication"},{"authors":["David B. Dennis","George K. Thiruvathukal"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969054,"objectID":"e7d67780359874df6708de9ce9b4e5b7","permalink":"https://ssl.cs.luc.edu/publication/dennis-computer-2017/","publishdate":"2023-02-09T18:57:34.71355Z","relpermalink":"/publication/dennis-computer-2017/","section":"publication","summary":"","tags":[],"title":"Computer Science and Cultural History: A Dialogue","type":"publication"},{"authors":["Gregory J. Matthews","George K. Thiruvathukal","Matthew P. Luetkemeier","Juliet K. Brophy"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"ad21d6887db306ada7fe6a163eb7e33f","permalink":"https://ssl.cs.luc.edu/publication/matthews-examining-2017/","publishdate":"2023-02-09T18:57:38.137953Z","relpermalink":"/publication/matthews-examining-2017/","section":"publication","summary":"In order to reconstruct environments associated with Plio-Pleistocene hominins in southern Africa, researchers frequently rely upon the animals associated with the hominins, in particular, animals in the Family Bovidae. Bovids in southern Africa are typically identified by their teeth. However, identifying the taxon of a bovid tooth is challenging due to various biasing factors. Furthermore, inaccurate identification of fossil bovids can have significant consequences on the reconstructed paleoenvironment. Recent research on the classification of bovid fossil teeth has relied on using elliptical Fourier analysis to summarize the shape of the outline of the occlusal surface of the tooth and the resulting harmonic amplitudes. Currently, an expert in the field must manually place landmarks around the edges of each tooth which is slow and time consuming. This study tests whether it is possible to crowdsource this task, while maintaining the necessary level of quality needed to perform a statistical analysis on each tooth. Amazon Mechanical Turk workers place landmarks on the edge of the tooth which is compared to the performance of an expert in the field. The results suggest that crowdsourcing the digitization process is reliable and replicable. With the technical aspects of digitization managed, researchers can concentrate on analyzing and interpreting the data.","tags":[],"title":"Examining the Use of Amazon's Mechanical Turk for Edge Extraction of the Occlusal Surface of Fossilized Bovid Teeth.","type":"publication"},{"authors":["Lorena A. Barba","George K. Thiruvathukal"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"2752d43d1f149a45719295cbd9c3544e","permalink":"https://ssl.cs.luc.edu/publication/barba-reproducible-2017/","publishdate":"2023-02-09T18:57:39.846816Z","relpermalink":"/publication/barba-reproducible-2017/","section":"publication","summary":"","tags":[],"title":"Reproducible Research for Computing in Science \u0026 Engineering","type":"publication"},{"authors":["Jeffrey Carver","Neil P. Chue Hong","George K. Thiruvathukal"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969049,"objectID":"da2cbca130705cbe7ac6033d745a83b2","permalink":"https://ssl.cs.luc.edu/publication/carver-software-2017/","publishdate":"2023-02-09T18:57:29.317876Z","relpermalink":"/publication/carver-software-2017/","section":"publication","summary":"Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe with applying software engineering practices to the development of scientifi software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges.","tags":[],"title":"Software Engineering for Science","type":"publication"},{"authors":["George F. Hurlburt","George K. Thiruvathukal","Maria R. Lee"],"categories":[],"content":"","date":1483228800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"a05effc9791461b528cc9114749b52cf","permalink":"https://ssl.cs.luc.edu/publication/hurlburt-graph-2017/","publishdate":"2023-02-09T18:57:40.079385Z","relpermalink":"/publication/hurlburt-graph-2017/","section":"publication","summary":"","tags":[],"title":"The Graph Database: Jack of All Trades or Just Not SQL?","type":"publication"},{"authors":["Steven Reisman","Thomas Hatzopoulos","Konstantin Läufer","George K. Thiruvathukal","Catherine Putonti"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969058,"objectID":"f10987b6f1ec29e59d43b77901952d4d","permalink":"https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/","publishdate":"2023-02-09T18:57:38.318165Z","relpermalink":"/publication/reisman-polyglot-2016/","section":"publication","summary":"As sequencing technologies continue to drop in price and increase in throughput, new challenges emerge for the management and accessibility of genomic sequence data. We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 sequences. Phylogenetic analyses were conducted for textgreater6,000 HIV-1 sequences revealing spatial and temporal factors influence the evolution of the individual genes uniquely. Nevertheless, signatures of origin can be extrapolated even despite increased globalization. The approach developed here can easily be customized for any species of interest.","tags":[],"title":"A Polyglot Approach to Bioinformatics Data Integration: A Phylogenetic Analysis of HIV-1","type":"publication"},{"authors":["Tiffany Barnes","Jamie Payton","George K. Thiruvathukal","Kristy Elizabeth Boyer","Jeffrey Forbes"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"64657645f791ec7e6e184b44e5d6d9ed","permalink":"https://ssl.cs.luc.edu/publication/barnes-best-2016/","publishdate":"2023-02-09T18:57:40.419047Z","relpermalink":"/publication/barnes-best-2016/","section":"publication","summary":"","tags":[],"title":"Best of RESPECT, Part 2","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"0f928abf86a400af8fbdd1f6256b76b6","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-beyond-2016/","publishdate":"2023-02-09T18:57:41.087941Z","relpermalink":"/publication/thiruvathukal-beyond-2016/","section":"publication","summary":"","tags":[],"title":"Beyond Pythagoras","type":"publication"},{"authors":["Jeffrey C. Carver","George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969070,"objectID":"2591fa0c5096c03266b76b6b60f10cb4","permalink":"https://ssl.cs.luc.edu/publication/carver-collaborative-2016/","publishdate":"2023-02-09T18:57:49.8296Z","relpermalink":"/publication/carver-collaborative-2016/","section":"publication","summary":"","tags":[],"title":"Collaborative Research: Making Software Engineering Work for Computational Science \u0026 Engineering: An Integrated Approach","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"3e395f143490b6c9cbe6ce0a7d95f1a0","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-fin-2016/","publishdate":"2023-02-09T18:57:40.829839Z","relpermalink":"/publication/thiruvathukal-fin-2016/","section":"publication","summary":"","tags":[],"title":"El Fin","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"dd66ad9637e1b49a1c7bf6728afd41a6","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-how-2016/","publishdate":"2023-02-09T18:57:40.665145Z","relpermalink":"/publication/thiruvathukal-how-2016/","section":"publication","summary":"As sci-fi readers and film buffs know, many of these ideas that have been foreshadowed–and that seem far-fetched in–fiction are beginning to seem possible. Whether we are considering the benevolent Commander Data in Star Trek: The Next Generation or fearing the terrifying Terminator, we are entering an era where AI as is rapidly entering the public discourse.","tags":[],"title":"How AI Is Bringing Hollywood to Life","type":"publication"},{"authors":["Adrienne Decker","Jamie Payton","Kurt Eiselt","Tiffany Barnes","George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"bfb8a05fcfac5019a5c787784f054931","permalink":"https://ssl.cs.luc.edu/publication/decker-research-2016/","publishdate":"2023-02-09T18:57:34.89243Z","relpermalink":"/publication/decker-research-2016/","section":"publication","summary":"","tags":[],"title":"Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) RESPECT 2016","type":"publication"},{"authors":["Tiffany Barnes","George K. Thiruvathukal"],"categories":[],"content":"","date":1451606400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969060,"objectID":"d1ce513736bf1850a2148a446c895eb1","permalink":"https://ssl.cs.luc.edu/publication/barnes-need-2016/","publishdate":"2023-02-09T18:57:40.26007Z","relpermalink":"/publication/barnes-need-2016/","section":"publication","summary":"","tags":[],"title":"The Need for Research in Broadening Participation","type":"publication"},{"authors":["Catherine Putonti","George K. Thiruvathukal"],"categories":[],"content":"","date":1443657600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969067,"objectID":"3ca4a5e0263760864ace6ac43f9e4a7d","permalink":"https://ssl.cs.luc.edu/publication/putonti-organised-2015/","publishdate":"2023-02-09T18:57:46.832385Z","relpermalink":"/publication/putonti-organised-2015/","section":"publication","summary":"","tags":[],"title":"Organised Genomic HIV and Pseudomonas Sequence Data","type":"publication"},{"authors":["William Honig","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"df9ab10ff70184ddca1e814ae1486804","permalink":"https://ssl.cs.luc.edu/publication/honig-framework-2015/","publishdate":"2023-02-09T18:57:35.116741Z","relpermalink":"/publication/honig-framework-2015/","section":"publication","summary":"Academic courses focused on individual microcomputers or client/server applications are no longer sufficient for students to develop knowledge in embedded systems. Current and near-term industrial systems employ multiple interacting components and new network and security approaches; hence, academic preparation requires teaching students to develop realistic projects comparable to these real-world products. However, the complexity, breadth, and technical variations of these real-world products are difficult to reproduce in the classroom. This paper outlines preliminary work on a framework architecture suitable for academic teaching of modern embedded systems including the Internet of Things. It defines four layers, two of which are at the edges of the network, and not adequately covered in academia. For each layer of the architecture, specific technology and suitable devices are identified. Desired academic outcomes for courses using projects based on the architecture are identified. Feedback and comparison is sought on how effective student course and research activities based on the framework will be to real-world embedded systems developers.","tags":[],"title":"A Framework Architecture for Student Learning in Distributed Embedded Systems","type":"publication"},{"authors":["George K. Thiruvathukal","Ufuk Verun"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969070,"objectID":"4d934cc09f9eca32ebd01f8e369f56f2","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-apt-2015/","publishdate":"2023-02-09T18:57:50.182341Z","relpermalink":"/publication/thiruvathukal-apt-2015/","section":"publication","summary":"","tags":[],"title":"Apt Compiler Toolkit (Legacy Document)","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"8e5cf355afcdc2d022d6b69c1a5bf080","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-cloudy-2015/","publishdate":"2023-02-09T18:57:41.435653Z","relpermalink":"/publication/thiruvathukal-cloudy-2015/","section":"publication","summary":"","tags":[],"title":"Cloudy with a Chance of Sunshine, or the Future of Magazine Publishing (Article, 2015) [WorldCat.Org]","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969066,"objectID":"dafd0c34b5a6d256b9e8f76ebb4f1a3e","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/","publishdate":"2023-02-09T18:57:46.639944Z","relpermalink":"/publication/thiruvathukal-gcasr-2015/","section":"publication","summary":"","tags":[],"title":"GCASR 15: Middleware for Collaborative Distributed/Mobile Applications: XMPP or Reactive HTTP?","type":"publication"},{"authors":["Tiffany Barnes","George K. Thiruvathukal","Kristy Elizabeth Boyer","Jeff Forbes","Jamie Payton"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"43881be4cd7253deda2c213a32c4ad38","permalink":"https://ssl.cs.luc.edu/publication/barnes-proceedings-2015/","publishdate":"2023-02-09T18:57:35.286444Z","relpermalink":"/publication/barnes-proceedings-2015/","section":"publication","summary":"","tags":[],"title":"Proceedings of 2015 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) RESPECT 2015","type":"publication"},{"authors":["Juliet K. Brophy","Gregory J. Matthews","George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969066,"objectID":"34d7f0dd92a763b0c84ef693c72a3e55","permalink":"https://ssl.cs.luc.edu/publication/brophy-quantitative-2015/","publishdate":"2023-02-09T18:57:46.289918Z","relpermalink":"/publication/brophy-quantitative-2015/","section":"publication","summary":"","tags":[],"title":"Quantitative Morphological Analysis of Bovid Teeth Using Elliptical Fourier Function Analyses","type":"publication"},{"authors":["Andy Terrel","Michael Tobis","George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969062,"objectID":"0e196d3475b962ab65d3c8bedb921404","permalink":"https://ssl.cs.luc.edu/publication/terrel-scientific-2015/","publishdate":"2023-02-09T18:57:41.858792Z","relpermalink":"/publication/terrel-scientific-2015/","section":"publication","summary":"","tags":[],"title":"Scientific Software Communities","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"df2406937b0744e83406ed7e8c4bb0b9","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-all-digital-2015/","publishdate":"2023-02-09T18:57:41.685849Z","relpermalink":"/publication/thiruvathukal-all-digital-2015/","section":"publication","summary":"","tags":[],"title":"The All-Digital Future and Digital CiSE","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1420070400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969061,"objectID":"26a905ec8fdd73b17956bcff0b33d9ed","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-next-2015/","publishdate":"2023-02-09T18:57:41.262201Z","relpermalink":"/publication/thiruvathukal-next-2015/","section":"publication","summary":"","tags":[],"title":"The Next Generation of Computational Science and Engineering","type":"publication"},{"authors":["Manish Parashar","George K. Thiruvathukal"],"categories":[],"content":"","date":1388534400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969062,"objectID":"cb314c46e5ad3ca98e6f5a08d67318f9","permalink":"https://ssl.cs.luc.edu/publication/parashar-extreme-2014/","publishdate":"2023-02-09T18:57:42.105445Z","relpermalink":"/publication/parashar-extreme-2014/","section":"publication","summary":"","tags":[],"title":"Extreme Data [Guest Editors' Introduction]","type":"publication"},{"authors":["Mark Lewis","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1388534400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969067,"objectID":"3bfb314ed000a08b99d734d60d27919e","permalink":"https://ssl.cs.luc.edu/publication/lewis-scala-2014/","publishdate":"2023-02-09T18:57:47.114264Z","relpermalink":"/publication/lewis-scala-2014/","section":"publication","summary":"Scala is one of a new breed of hybrid languages with both object-oriented and functional aspects. It happens to be the most successful of these languages coming in at #12 on the Red Monk language ranking and leading all languages in their 2nd tier. This workshop will introduce participants to the Scala programming language, how it can be used effectively in introductory CS courses, and the parallel tools that are available for it. We begin with simple examples in the REPL and scripting environment, then look at doing larger, object-oriented projects. We finish off with an exploration of composable futures and the Akka actor library. Participants are strongly recommended to bring a laptop.","tags":[],"title":"Scala for Introductory CS and Parallelism (Workshop)","type":"publication"},{"authors":["Trevor Borg","George K. Thiruvathukal"],"categories":[],"content":"","date":1388534400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"f4c99f6817fb671d45b4173e418aec21","permalink":"https://ssl.cs.luc.edu/publication/borg-single-2014/","publishdate":"2023-02-09T18:57:35.444749Z","relpermalink":"/publication/borg-single-2014/","section":"publication","summary":"TEI is good at what it does: static documents rendered in glorious detail. But TEI is old. Its age doesn’t make TEI irrelevant, but it’s important to be conscious of how the way we weave the fabric of the web has changed since TEI was conceived in 1994, and reevaluate some of our assumptions about its use. In this early work, we are exploring this rethinking as part of a larger study within the center on general methods for isolating the complexity frequently associated with XML-based frameworks.","tags":[],"title":"Single Page Apps for Humanists: A Case Study Using the Perseus Richmond Times Corpus","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1388534400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969062,"objectID":"1ed79ff6787a3f3da10effe17151cbbe","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-what-2014/","publishdate":"2023-02-09T18:57:42.309084Z","relpermalink":"/publication/thiruvathukal-what-2014/","section":"publication","summary":"","tags":[],"title":"What We Publish in CiSE","type":"publication"},{"authors":["Thomas Delgado Dias","Xian Yan","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969067,"objectID":"e526b28a544473e52cd9676a0a999752","permalink":"https://ssl.cs.luc.edu/publication/dias-building-2013/","publishdate":"2023-02-09T18:57:47.278996Z","relpermalink":"/publication/dias-building-2013/","section":"publication","summary":"","tags":[],"title":"Building Capable, Energy-Efficient, Flexible Visualization and Sensing Clusters from Commodity Tablets","type":"publication"},{"authors":["George K. Thiruvathukal","Manish Parashar"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969063,"objectID":"a8e6fd2c0167b04ba8118a6a97cef9fd","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-cloud-2013/","publishdate":"2023-02-09T18:57:43.60467Z","relpermalink":"/publication/thiruvathukal-cloud-2013/","section":"publication","summary":"","tags":[],"title":"Cloud Computing [Guest Editors' Introduction]","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969063,"objectID":"e0e43eb7f26c820e42a386edf6ab47f5","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-computational-2013/","publishdate":"2023-02-09T18:57:43.280849Z","relpermalink":"/publication/thiruvathukal-computational-2013/","section":"publication","summary":"","tags":[],"title":"Computational Science, Demystified - the Future, Revealed and CiSE, 2013","type":"publication"},{"authors":["Paul Stasiuk","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969067,"objectID":"bd682585db2f7dba2b8a191c824ed09b","permalink":"https://ssl.cs.luc.edu/publication/stasiuk-network-2013/","publishdate":"2023-02-09T18:57:47.647227Z","relpermalink":"/publication/stasiuk-network-2013/","section":"publication","summary":"","tags":[],"title":"Network Technologies Used to Aggregate Environmental Data","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969063,"objectID":"d3cde0ce1fef716ade12db8f05d6e934","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-productivity-2013/","publishdate":"2023-02-09T18:57:43.096167Z","relpermalink":"/publication/thiruvathukal-productivity-2013/","section":"publication","summary":"","tags":[],"title":"Productivity in the Cognitive Overload Era","type":"publication"},{"authors":["Jeffrey C. Carver","George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969055,"objectID":"bed12b472ad741dec54681275e1856b3","permalink":"https://ssl.cs.luc.edu/publication/carver-software-2013/","publishdate":"2023-02-09T18:57:35.660812Z","relpermalink":"/publication/carver-software-2013/","section":"publication","summary":"\\\"Progress in scientific research is dependent on the quality and accessibility of software at all levels\\\" (the overall premise of the workshop). We argue that true progress depends on embracing the best traditional–and emergent– practices in software engineering, especially agile practices that intersect with the tradition of software engineering. Software engineering as practiced today is more than the stereotypical monolithic lifecycle processes (e.g. waterfall, spiral, etc.) that historically have impeded progress for small/medium sized development efforts. In addition, the discipline and practice of software engineering includes software quality (with an established tradition of software metrics). Software processes can be pragmatic and use best features/practices of various models without impeding developer productivity. The embracement of these practices may also be important to prevent a brain drain of sorts, as students are increasingly eschewing traditional scientific/computation science research in favor of industry opportunities, where they can literally apply what they have learned in software development courses where pragmatic software engineering practices (e.g. test-driven design, RESTful architecture, etc.) are already prevalent.\\\"","tags":[],"title":"Software Engineering Need not be Difficult","type":"publication"},{"authors":["Mark Lewis","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969068,"objectID":"23f912396436cf9f0241e6199fc716ae","permalink":"https://ssl.cs.luc.edu/publication/lewis-using-2013/","publishdate":"2023-02-09T18:57:47.834188Z","relpermalink":"/publication/lewis-using-2013/","section":"publication","summary":"Various hybrid-paradigm languages, designed to balance compile-time error detection, conciseness, and performance, have emerged. Scala, e.g., is interoperable with Java and has become an early leader in adoption, especially in the start-up and open-source spaces. Workshop participants experience Scala's value as a teaching language in the CS curriculum through four lecture-lab modules: In CS1, the read-eval-print loop and simple, uniform syntax aid programming in the small. In CS2, higher-order methods allow concise, efficient manipulation of collections. Advanced topics include domain-specific languages, concurrency, web apps/services, and mobile apps. Laptop recommended with Scala installed.","tags":[],"title":"Using Scala strategically across the undergraduate curriculum (abstract only)","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969063,"objectID":"bb2502b1d2f73f2a70df663b062d12a7","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-whats-2013/","publishdate":"2023-02-09T18:57:42.805644Z","relpermalink":"/publication/thiruvathukal-whats-2013/","section":"publication","summary":"","tags":[],"title":"What's in an Algorithm?","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1356998400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969062,"objectID":"d1144158ff7a6c19785b016bc659d265","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-who-2013/","publishdate":"2023-02-09T18:57:42.612339Z","relpermalink":"/publication/thiruvathukal-who-2013/","section":"publication","summary":"","tags":[],"title":"Who Needs Tablets? We Do","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969064,"objectID":"c6b7a3fa6ccb5df92f9b00ea6f85f064","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-accelerating-2012/","publishdate":"2023-02-09T18:57:44.107912Z","relpermalink":"/publication/thiruvathukal-accelerating-2012/","section":"publication","summary":"","tags":[],"title":"Accelerating Learning with Distance Education and Open Courseware","type":"publication"},{"authors":["Steven E. Jones","George K. Thiruvathukal"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969049,"objectID":"f39e5bc58dddf13956728847f113ebbe","permalink":"https://ssl.cs.luc.edu/publication/jones-codename-2012/","publishdate":"2023-02-09T18:57:29.473412Z","relpermalink":"/publication/jones-codename-2012/","section":"publication","summary":"Nintendo's hugely popular and influential video game console system considered as technological device and social phenomenon. The Nintendo Wii, introduced in 2006, helped usher in a moment of retro-reinvention in video game play. This hugely popular console system, codenamed Revolution during development, signaled a turn away from fully immersive, time-consuming MMORPGs or forty-hour FPS games and back toward family fun in the living room. Players using the wireless motion-sensitive controller (the Wii Remote, or “Wiimote”) play with their whole bodies, waving, swinging, swaying. The mimetic interface shifts attention from what's on the screen to what's happening in physical space. This book describes the Wii's impact in technological, social, and cultural terms, examining the Wii as a system of interrelated hardware and software that was consciously designed to promote social play in physical space. Each chapter of Codename Revolution focuses on a major component of the Wii as a platform: the console itself, designed to be low-powered and nimble; the iconic Wii Remote; Wii Fit Plus, and its controller, the Wii Balance Board; the Wii Channels interface and Nintendo's distribution system; and the Wii as a social platform that not only affords multiplayer options but also encourages social interaction in shared physical space. Finally, the authors connect the Wii's revolution in mimetic interface gaming—which eventually led to the release of Sony's Move and Microsoft's Kinect—to some of the economic and technological conditions that influence the possibility of making something new in this arena of computing and culture.","tags":[],"title":"Codename Revolution: The Nintendo WII Platform (Platform Studies)","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969064,"objectID":"d756754d9dfcb6a581c7e7f611788a03","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-digging-2012/","publishdate":"2023-02-09T18:57:43.794893Z","relpermalink":"/publication/thiruvathukal-digging-2012/","section":"publication","summary":"","tags":[],"title":"Digging into Data","type":"publication"},{"authors":["Dejan Milojicic","Martin Arlitt","Doree D. Seligmann","George K. Thiruvathukal","Christian Timmerer"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969064,"objectID":"6def25f756edbc13dab268e0ad62ae3b","permalink":"https://ssl.cs.luc.edu/publication/milojicic-innovation-2012/","publishdate":"2023-02-09T18:57:44.280051Z","relpermalink":"/publication/milojicic-innovation-2012/","section":"publication","summary":"","tags":[],"title":"Innovation Mashups: Academic Rigor Meets Social Networking Buzz","type":"publication"},{"authors":["Joe P. Kaylor"," Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":1325376e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"07e669f5998656ecd3d099aea1b0d387","permalink":"https://ssl.cs.luc.edu/publication/kaylor-simplifying-2012/","publishdate":"2023-02-09T18:57:35.824788Z","relpermalink":"/publication/kaylor-simplifying-2012/","section":"publication","summary":"","tags":[],"title":"Simplifying Domain Modeling and Memory Management in User-Mode Filesystems with the NOFS Framework","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969065,"objectID":"bd1333d8211002d24293abe83a3fd2a2","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-beyond-2011/","publishdate":"2023-02-09T18:57:45.116401Z","relpermalink":"/publication/thiruvathukal-beyond-2011/","section":"publication","summary":"","tags":[],"title":"Beyond CiSE and Back to the Future","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969065,"objectID":"c1677911296aa798d082b6ee26e0a7fa","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-books-2011/","publishdate":"2023-02-09T18:57:44.794363Z","relpermalink":"/publication/thiruvathukal-books-2011/","section":"publication","summary":"Two books are reviewed in this issue.","tags":[],"title":"Books [reviews of \\\"Networks, Crowds, and Markets: Reasoning about a Highly-Connected World; Easley, D. and Kleinberg, J.; 2010 and \\\"Introduction to High Performance Computing for Scientists and Engineers\\\"; Hager, G. and Wellein, G.; 2011)]","type":"publication"},{"authors":["Konstantin Läufer","George K. Thiruvathukal","David B. Dennis"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969064,"objectID":"7705be729bfff88db07c6d62bc663fbf","permalink":"https://ssl.cs.luc.edu/publication/laufer-moving-2011/","publishdate":"2023-02-09T18:57:44.607379Z","relpermalink":"/publication/laufer-moving-2011/","section":"publication","summary":"","tags":[],"title":"Moving Academic Department Functions to Social Networks and Clouds: Initial Experiences","type":"publication"},{"authors":["Joe P. Kaylor","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"4b7fbfd7441b20953579dcd1b7c6345d","permalink":"https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/","publishdate":"2023-02-09T18:57:36.039441Z","relpermalink":"/publication/kaylor-restfs-2011-1/","section":"publication","summary":"We have designed and implemented RestFS, a software framework that provides a uniform, configurable connector layer for mapping remote web-based resources to local filesystem-based resources, recognizing the similarity between these two types of resources. Such mappings enable programmatic access to a resource, as well as composition of two or more resources, through the local operating system's standard filesystem application programming interface (API), scriptable file-based command-line utilities, and inter-process communication (IPC) mechanisms. The framework supports automatic and manual authentication. We include several examples intended to show the utility and practicality of our framework.","tags":[],"title":"RestFS: Resources are Filesystems, too","type":"publication"},{"authors":["Joseph P. Kaylor","Konstantin Läufer","George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969049,"objectID":"cecff55e80eb418e8e29daff9b884acb","permalink":"https://ssl.cs.luc.edu/publication/kaylor-restfs-2011/","publishdate":"2023-02-09T18:57:29.654773Z","relpermalink":"/publication/kaylor-restfs-2011/","section":"publication","summary":"","tags":[],"title":"RestFS: The Filesystem as a Connector Abstraction for Flexible Resource and Service Composition","type":"publication"},{"authors":["Steven E. Jones","George K. Thiruvathukal"],"categories":[],"content":"","date":129384e4,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"a5e5d5bc5ba163396ebe5432c4833780","permalink":"https://ssl.cs.luc.edu/publication/jones-object-2011/","publishdate":"2023-02-09T18:57:36.216584Z","relpermalink":"/publication/jones-object-2011/","section":"publication","summary":"Racing the Beam: The Atari Video Computer System,by Ian Bogost and Nick Montfort, inaugurated thePlatform Studies series at MIT Press in 2009.We’ve coauthored a new book in the series, Codename: Revolution: the Nintendo Wii Video Game Console. Platform studies is a quintessentially Digital Humanities approach, since it’s explicitly focused on the interrelationship of computing and cultural expression. According to the series preface, the goal of platform studies is “to consider the lowest level of computing systems and to understand how these systems relate to culture and creativity.”In practice, this involves paying close attentionto specific hardware and software interactions–to the vertical relationships between a platform’s multilayered materialities (Hayles; Kirschenbaum),from transistors to code to cultural reception. Any given act of platform-studies analysis may focus for example on the relationship between the chipset and the OS, or between the graphics processor and display parameters or game developers’ designs.In computing terms, platform is an abstraction(Bogost and Montfort), a pragmatic frame placed around whatever hardware-and-software configuration is required in order to build or run certain specificapplications (including creative works). The object of platform studies is thus a shifting series of possibility spaces, any number of dynamic thresholds between discrete levels of a system.","tags":[],"title":"The Object of Platform Studies: Relational Materialities and the Social Platform (the Case of the Nintendo Wii)","type":"publication"},{"authors":["George K. Thiruvathukal","Steven E. Jones","Peter Shillingsburg"],"categories":[],"content":"","date":1262304e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969056,"objectID":"7f08ba77e72165a16049430d9cc85a06","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/","publishdate":"2023-02-09T18:57:36.370678Z","relpermalink":"/publication/thiruvathukal-e-carrel-2010/","section":"publication","summary":"The E-Carrel project aims to address the preservation of, access to, and re-uses of humanities electronic text files. It enables dynamic, growing resource projects as repositories for new knowledge. It provides for on-line distributed data and tools that are open to new scholarly enhancement through a user friendly tagging tool, sophisticated use of stand-off markup and annotation (leveraging RDF capabilities), and a browsing system anyone can use. It creates a secure system of text preparation and dissemination that encourages collaboration and participation by anyone interested in the texts. To insure the endurance of authenticated texts, multiple copies are distributed on the Internet. Foundation texts anchor a system for maintaining and growing project usefulness beyond the originators’ interest and the functions they imagined. Increasing access to humanities texts as useful, adaptable, reliable source materials that can be re-purposed will increase interest in continued maintenance, which are critical for long-term preservation and access.","tags":[],"title":"E-Carrel: An Environment for Collaborative Textual Scholarship","type":"publication"},{"authors":["George K. Thiruvathukal","Konstantin Läufer","Konrad Hinsen","Joe P. Kaylor"],"categories":[],"content":"","date":1262304e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969065,"objectID":"a8ecde26840c1312d8cf32a5ccb5798d","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-virtualization-2010/","publishdate":"2023-02-09T18:57:45.620086Z","relpermalink":"/publication/thiruvathukal-virtualization-2010/","section":"publication","summary":"","tags":[],"title":"Virtualization for Computational Scientists","type":"publication"},{"authors":["George K. Thiruvathukal"],"categories":[],"content":"","date":1262304e3,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1675969065,"objectID":"43174ff2550acc297ccddcfe8f2d727f","permalink":"https://ssl.cs.luc.edu/publication/thiruvathukal-your-2010/","publishdate":"2023-02-09T18:57:45.285001Z","relpermalink":"/publication/thiruvathukal-your-2010/","section":"publication","summary":"","tags":[],"title":"Your Local Cloud-Enabled Library","type":"publication"},{"authors":null,"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":-62135596800,"objectID":"c1d17ff2b20dca0ad6653a3161942b64","permalink":"https://ssl.cs.luc.edu/people/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/people/","section":"","summary":"","tags":null,"title":"","type":"widget_page"}]
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diff --git a/js/vendor-bundle.min.d26509351aa0ff874abbee824e982e9b.js b/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js
similarity index 62%
rename from js/vendor-bundle.min.d26509351aa0ff874abbee824e982e9b.js
rename to js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js
index 8b7a9c7..8ee5051 100644
--- a/js/vendor-bundle.min.d26509351aa0ff874abbee824e982e9b.js
+++ b/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js
@@ -1,4 +1,4 @@
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\ No newline at end of file
diff --git a/people/index.html b/people/index.html
index 9c0b78b..4fe6f67 100644
--- a/people/index.html
+++ b/people/index.html
@@ -1,8 +1,8 @@
 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/people/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/people/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/people/"><meta property="og:title" content="Software and Systems Laboratory"><meta property="og:description" content><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><title>Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=c1d17ff2b20dca0ad6653a3161942b64><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people data-target=[]><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><span class="js-widget-page d-none"></span><section id=people class="home-section wg-people"><div class=home-section-bg></div><div class=container><div class="row justify-content-center people-widget"><div class="col-md-12 section-heading"><h1>Meet the Team</h1></div><div class=col-md-12><h2 class=mb-4>Faculty Leadership</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/george-k.-thiruvathukal/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/george-k.-thiruvathukal/avatar_hud514be568a06313ee5045936e8b882cd_1374921_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></h2><h3>Director</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/gkthiruvathukal target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/gkthiruvathukal/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://gkt.sh target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/neil-klingensmith/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/neil-klingensmith/avatar_hu4da464518c2b4711b74404b9816ee73e_114734_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/neil-klingensmith/>Neil Klingensmith</a></h2><h3>Co-Director</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/neil-klingensmith-976262b5/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Faculty Advisors</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/daniel-moreira/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/daniel-moreira/avatar_hu68d78b4652b5b0a2460f17a5e29f4ec8_424004_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/daniel-moreira/>Daniel Moreira</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/danielmoreira target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/dhmoreira/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=http://danielmoreira.github.io/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/david-b.-wetzel/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/david-b.-wetzel/avatar_hue88c3f4a14a67c338e42eaf063b5b1d5_6222_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/david-b.-wetzel/>David B. Wetzel</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/konstantin-laufer/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/konstantin-laufer/avatar_hua1724b592d6e21d626c4de4cc8310dc5_348726_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/konstantin-laufer/>Konstantin Läufer</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/klaeufer target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/laufer target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://laufer.cs.luc.edu target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/mohammed-abuhamad/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/mohammed-abuhamad/avatar_hu9c7473953126335ebe17f6f86539ea19_20780_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/mohammed-abuhamad/>Mohammed Abuhamad</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/abuhamadm/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/nicholas-j.-hayward/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/nicholas-j.-hayward/avatar_hu1c32271abeae6f5d357391e784e2385d_492895_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/nicholas-j.-hayward/>Nicholas J. Hayward</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class=col-md-12><h2 class=mb-4>Ph.D Students</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/abhinav-goel/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/abhinav-goel/avatar_hu7cb3952ac4aea844af4496465caa46b2_33096_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/abhinav-goel/>Abhinav Goel</a></h2><h3>Ph.D Student at NVIDIA</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/abhinavgoel95/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/caleb-tung/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/caleb-tung/avatar_hu67210d28b1c7889d70ed7f4fa0773ab3_34654_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/caleb-tung/>Caleb Tung</a></h2><h3>Ph.D Student at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/calebtung target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/calebtung/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://calebtung.com/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/nick-john-eliopoulos/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/nick-john-eliopoulos/avatar_hua0e85ad50ec46ba901f060d16be3bebf_311549_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/nick-john-eliopoulos/>Nick John Eliopoulos</a></h2><h3>Ph.D Student at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/nickjeliopoulos target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/nick-j-eliopoulos/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/purvish-jajal/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/purvish-jajal/avatar_hua90c6d8d9090ec6efa517879e4ad741a_22529_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/purvish-jajal/>Purvish Jajal</a></h2><h3>Ph.D Student at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/purvish-jajal-989774190/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/shilpika/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/shilpika/avatar_hu2cb4e5d22b1f7de10483148288826938_23549_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/shilpika/>Shilpika</a></h2><h3>Ph.D Student at UC Davis</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/sshilpika target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/shilpika-19841285/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/wenxin-jiang/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/wenxin-jiang/avatar_hu96102dc604c8f9d388dd272d38dc7a0c_64117_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/wenxin-jiang/>Wenxin Jiang</a></h2><h3>Ph.D Student at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/Wenxin-Jiang target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/wenxin-jiang/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://wenxin-jiang.github.io/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Graduate Students</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/brianna-chou/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/brianna-chou/avatar_hu39b64580c9abbbe86a1bc7540bc6483e_283097_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/brianna-chou/>Brianna Chou</a></h2><h3>Systems Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/BriannaChou target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/briannachou/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/erik-c.-pautsch/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/erik-c.-pautsch/avatar_hua0c2b169da85f3e5c77b95d4eb43d4cc_100807_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/erik-c.-pautsch/>Erik C. Pautsch</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/epautsch target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/erik-pautsch-07664a118/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://www.erikpautsch.com target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/isaac-ahlgren/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/isaac-ahlgren/avatar_hu00fecd27c37a5a6f1aea0fa38c75311c_41348_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/isaac-ahlgren/>Isaac Ahlgren</a></h2><h3>Systems Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/isaac-ahlgren target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/isaac-ahlgren123/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/nicholas-synovic/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/nicholas-synovic/avatar_hubef60e9dbfc916e269371d18462ea941_2790788_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/nicholas-synovic/>Nicholas Synovic</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/NicholasSynovic target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/nsynovic target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://nsynovic.dev target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Undergraduate Students</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/areej-imran/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/areej-imran/avatar_hu7433e73b797da5e85d41c8e93bf266c2_407785_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/areej-imran/>Areej Imran</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/areejimran target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/areej-imran-791b4a22a target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/igor-ponomarenko/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/igor-ponomarenko/avatar_hu7a583ead9baff84fd710035c6ed0d6f8_92916_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/igor-ponomarenko/>Igor Ponomarenko</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/IgorPono target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/igor-ponomarenko-43838922b/overlay/photo/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/isaiah-bouromphongsa/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/isaiah-bouromphongsa/avatar_hud8c06406560237b12699f425e1986ead_285529_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/isaiah-bouromphongsa/>Isaiah Bouromphongsa</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/IsaiahBouromphongsa target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/isaiah-bouromphongsa-ab7aa2210/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/luke-baumel/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/luke-baumel/avatar_hu73162fd9d68c4393d1595020dab06748_6652_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/luke-baumel/>Luke Baumel</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/lbaumel target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/luke-baumel-b35532253/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/matt-hyatt/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/matt-hyatt/avatar_hu97205da650b27f2b6771c8db720ce17d_268411_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/matt-hyatt/>Matt Hyatt</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/mhyatt000/ target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/matt-hyatt-7bb18422a/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://mhyatt000.github.io/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/oscar-yanek/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/oscar-yanek/avatar_hu13a304206ba2733f80832ac311fb55f7_406778_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/oscar-yanek/>Oscar Yanek</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/oyanek target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/oscar-yanek-0a665a157/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/rohan-sethi/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/rohan-sethi/avatar_hu22d9d9b69eb7b070405c4c593a00179c_49365_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/rohan-sethi/>Rohan Sethi</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/rsethi21 target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/thomas-papka/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/thomas-papka/avatar_hu88aa760449d984d39cfaaab053b0558b_88607_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/thomas-papka/>Thomas Papka</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/TPapka11 target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/thomas-papka-b31b89263/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/yvette-diaz/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/yvette-diaz/avatar_hu4ae487daf6a7b00712a59f1b83e31d6b_41357_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/yvette-diaz/>Yvette Diaz</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/yvette1730 target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=/www.linkedin.com/in/yvettediaz0408><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Collaborators</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/dario-dematties/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/dario-dematties/avatar_hu3d787403bd99a841d28646759bbe3f14_75793_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/dario-dematties/>Dario Dematties</a></h2><h3>Faculty of Engineering at Northwestern Argonne Insitute of Science and Engineering</h3><ul class=network-icon aria-hidden=true><li><a href="https://www.linkedin.com/in/dario-dematties-aa034463/?locale=en_US" target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/eric-chan-tin/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/eric-chan-tin/avatar_hu8101b46c81a8eb965cae282152c40634_1425752_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/eric-chan-tin/>Eric Chan-Tin</a></h2><h3>Associate Professor of Computer Science at Loyola University Chicago</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/chantin-luc target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/eric-chan-tin target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://chantin.cs.luc.edu target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/florence-m.-chee/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/florence-m.-chee/avatar_hue9fc78aa17317b6fa3aa18ad316725fd_159393_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/florence-m.-chee/>Florence M. Chee</a></h2><h3>Associate Professor and Director of Center for Digital Ethics and Policy; Director of SIMLab at Loyola University of Chicago</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/cheeflo/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/gregory-matthews/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/gregory-matthews/avatar_hud8fe0840dbcc1ce18306caedb098a53f_5303880_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/gregory-matthews/>Gregory Matthews</a></h2><h3>Associate Professor, Director for Data Science at Loyola University Chicago</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/gregory-matthews-ph-d-0653ab6/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/james-davis/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/james-davis/avatar_hu9472edc5535f42cbf8e27550733f9072_62921_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/james-davis/>James Davis</a></h2><h3>Assistant Professor of Electrical and Computer Engineering at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/davisjam target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/davisjam/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://davisjam.github.io/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jeffrey-carver/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jeffrey-carver/avatar_hu419b44e0d0a458586c6523e766189047_80101_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jeffrey-carver/>Jeffrey Carver</a></h2><h3>Professor of Computer Science at the University of Alabama</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jeff-carver/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/john-osullivan/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/john-osullivan/avatar_huac5281182c44c4c27227286f3092a909_192824_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/john-osullivan/>John O'Sullivan</a></h2><h3>Collaborator</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/john-roeske/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/john-roeske/avatar_hu4319d5ff4a4e9c05cba253c9f6e69f4d_70622_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/john-roeske/>John Roeske</a></h2><h3>Professor of Applied Health Sciences and Chief of the Division of Medical Physics for the Department of Radiation Oncology at Loyola University Chicago Medical Center</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/johnroeske/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/juliet-brophy/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/juliet-brophy/avatar_hu2e7af3211066c0dd51c4323c981db4ca_25464_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/juliet-brophy/>Juliet Brophy</a></h2><h3>Assistant Professor of Anthropology at Louisiana State University</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/juliet-brophy-75901580/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/michael-e.-papka/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/michael-e.-papka/avatar_huf4e5b680ff8a2d58535d56b827e272c4_15757_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/michael-e.-papka/>Michael E. Papka</a></h2><h3>Deputy Associate Laboratory Director/Director of ALCF at Argonne National Laboratory</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/michaelpapka/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/nicholas-baker/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/nicholas-baker/avatar_hu8213a8c0381f0fc97cc362abc3042b6a_3287979_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/nicholas-baker/>Nicholas Baker</a></h2><h3>Assistant Professor Psychology at Loyola University Chicago</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/robert-g.-morrison/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/robert-g.-morrison/avatar_hu6a0d6cfbaaba3a941edd5f8ac1906bf3_10485_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/robert-g.-morrison/>Robert G. Morrison</a></h2><h3>Associate Professor and Undergraduate Program Directory of Neuroscience at Loyola University Chicago</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/robertgmorrison/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/silvio-rizzi/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/silvio-rizzi/avatar_hucd3311b8bd3fe98c76327968ed15bfea_158743_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/silvio-rizzi/>Silvio Rizzi</a></h2><h3>Computer Scientist at Argonne National Laboratory</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/silvio-rizzi-17772525/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/venkatram-vishwanath/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/venkatram-vishwanath/avatar_hu94a384c9bc2f59ade56ef1d6b789b59c_140529_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/venkatram-vishwanath/>Venkatram Vishwanath</a></h2><h3>Computer Scientist at Argonne National Laboratory</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/venkatram-vishwanath-b4b26145/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/vipin-chaudhary/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/vipin-chaudhary/avatar_hu3d03a01dcc18bc5be0e67db3d8d209a6_33495_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/vipin-chaudhary/>Vipin Chaudhary</a></h2><h3>Department Chair of Computer and Data Sciences Department at Case Western Reserve University</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/vipin-chaudhary-379529/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/xiao-yong-jin/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/xiao-yong-jin/avatar_hu4b518ced497b9fce445f1aa22c23562f_192291_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/xiao-yong-jin/>Xiao-Yong Jin</a></h2><h3>Assistant Scientist at Argonne National Laboratory</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/xiao-yong-jin-58075815/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/yung-hsiang-lu/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/yung-hsiang-lu/avatar_hu243e4cf85ebbdae69fa9e2deb9240aff_71372_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></h2><h3>Professor of Computer Engineering at the High-Energy Low-Power Systems Laboratory, Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/luyunghsiang target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/yung-hsiang-lu-51842b22/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://yhlu.net/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Alumni</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/alexander-rose/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/alexander-rose/avatar_hubcd3a6817aada493d6869c88f28c565c_9817_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/alexander-rose/>Alexander Rose</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/alexander-c-rose/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/alexandra-crane/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/alexandra-crane/avatar_hu67fb641a71840b7b97e60d679d01fbe0_24908_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/alexandra-crane/>Alexandra Crane</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/alexandra-crane/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/allan-miller/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/allan-miller/avatar_hubf2475040fe4ef350080994889581b29_11578_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/allan-miller/>Allan Miller</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/ajm10565/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/andrew-lake/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/andrew-lake/avatar_huac5281182c44c4c27227286f3092a909_192824_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/andrew-lake/>Andrew Lake</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/austin-pinderski/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/austin-pinderski/avatar_hu877f65fadcf2c3cc93467a7375451d97_20576_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/austin-pinderski/>Austin Pinderski</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/austin-pinderski/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/daniel-palacios/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/daniel-palacios/avatar_hua17e5100f17913768ed8ce8645fe9db3_25546_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/daniel-palacios/>Daniel Palacios</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/dpalacios2/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/emmanual-amobi/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/emmanual-amobi/avatar_hu9867ea8683f9f212118009a34d529030_227688_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/emmanual-amobi/>Emmanual Amobi</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/emmaamobi/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/ethan-stoneman/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/ethan-stoneman/avatar_hu60672286f1e3ba6c62b04d9c57759b13_31149_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/ethan-stoneman/>Ethan Stoneman</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/ethan-stoneman/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/iryna-motyashok/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/iryna-motyashok/avatar_hufda0fe0ed8d8214bfd0b25525ac92903_18758_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/iryna-motyashok/>Iryna Motyashok</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/iryna-motyashok-bb62aa1aa/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jack-narowski/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jack-narowski/avatar_hu242945a7cb052ff78ccb3a858bdc0eb3_26165_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jack-narowski/>Jack Narowski</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/JackNarowski target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jake-palmer/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jake-palmer/avatar_hu57bdc6762c70a663a4405ef6a6a520fb_36999_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jake-palmer/>Jake Palmer</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jacob-palmer-2630b7237/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jakob-veslsky/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jakob-veslsky/avatar_hu4e17cd83fbf26c9da8ff5259798d9680_35674_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jakob-veslsky/>Jakob Veslsky</a></h2><h3>Systems Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jakob-veselsky/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jean-luc-putter/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jean-luc-putter/avatar_hu57fa8c6230b3c68de35309b17c889dd7_46659_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jean-luc-putter/>Jean-Luc Putter</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jean-luc-putter-96103317b/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jonathan-warkentin/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jonathan-warkentin/avatar_hu7ff7640a9202e059dd5c805f17a2fa74_277583_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jonathan-warkentin/>Jonathan Warkentin</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jonathan-warkentin/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/linette-maliakal/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/linette-maliakal/avatar_hu9ee5e899815ec60c9ae43fd2b794af8a_173394_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/linette-maliakal/>Linette Maliakal</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/linette-maliakal/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/martin-zugschwert/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/martin-zugschwert/avatar_hud2987628e655f4401a9f260bcfa0366f_36648_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/martin-zugschwert/>Martin Zugschwert</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/martinzugschwert/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/mike-robinson/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/mike-robinson/avatar_hu3498532e2b0d87266d8ebfd828f1312c_33852_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/mike-robinson/>Mike Robinson</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/robinsonmj/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/morgan-richardson/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/morgan-richardson/avatar_hu84bf63d6ed734f9bd4c6e86fd7aa56be_2441711_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/morgan-richardson/>Morgan Richardson</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/morganrmarie/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/riley-clarkson/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/riley-clarkson/avatar_hu880c56a4c61ab5caad5d0d3ba91b00c4_113592_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/riley-clarkson/>Riley Clarkson</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/riley-clarkson-975632150/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/sean-higgins/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/sean-higgins/avatar_hu7c9c3c2fccdbc5baa7a0057fe535a83f_309048_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/sean-higgins/>Sean Higgins</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/riley-clarkson-975632150/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/sohini-thota/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/sohini-thota/avatar_hu935abebaf3a33c7b19c4c26fd7b54c2f_47518_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/sohini-thota/>Sohini Thota</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/sohinithota/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/sophie-von-hatton/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/sophie-von-hatton/avatar_hubd89298e42f143ddcdc09a9840fcbe27_5553_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/sophie-von-hatton/>Sophie Von Hatton</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/stephanie-rodriguez/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/stephanie-rodriguez/avatar_hu3c91c43511ee62576852e613bb5a6e35_46473_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/stephanie-rodriguez/>Stephanie Rodriguez</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/stephanie99rodriguez/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/trey-roche/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/trey-roche/avatar_hu0ac9e6a78568632fc47075338084ed36_87518_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/trey-roche/>Trey Roche</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/trey-roche-587b7717a/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/zachary-gallagher/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/zachary-gallagher/avatar_hu61e4ac972403c06a5b02e34ecbfb4273_166551_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/zachary-gallagher/>Zachary Gallagher</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true></ul></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people data-target=[]><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><span class="js-widget-page d-none"></span><section id=people class="home-section wg-people"><div class=home-section-bg></div><div class=container><div class="row justify-content-center people-widget"><div class="col-md-12 section-heading"><h1>Meet the Team</h1></div><div class=col-md-12><h2 class=mb-4>Faculty Leadership</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/george-k.-thiruvathukal/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/george-k.-thiruvathukal/avatar_hud514be568a06313ee5045936e8b882cd_1374921_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></h2><h3>Director</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/gkthiruvathukal target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/gkthiruvathukal/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://gkt.sh target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/neil-klingensmith/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/neil-klingensmith/avatar_hu4da464518c2b4711b74404b9816ee73e_114734_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/neil-klingensmith/>Neil Klingensmith</a></h2><h3>Co-Director</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/neil-klingensmith-976262b5/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Faculty Advisors</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/daniel-moreira/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/daniel-moreira/avatar_hu68d78b4652b5b0a2460f17a5e29f4ec8_424004_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/daniel-moreira/>Daniel Moreira</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/danielmoreira target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/dhmoreira/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=http://danielmoreira.github.io/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/david-b.-wetzel/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/david-b.-wetzel/avatar_hue88c3f4a14a67c338e42eaf063b5b1d5_6222_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/david-b.-wetzel/>David B. Wetzel</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/konstantin-laufer/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/konstantin-laufer/avatar_hua1724b592d6e21d626c4de4cc8310dc5_348726_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/konstantin-laufer/>Konstantin Läufer</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/klaeufer target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/laufer target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://laufer.cs.luc.edu target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/mohammed-abuhamad/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/mohammed-abuhamad/avatar_hu9c7473953126335ebe17f6f86539ea19_20780_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/mohammed-abuhamad/>Mohammed Abuhamad</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/abuhamadm/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/nicholas-j.-hayward/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/nicholas-j.-hayward/avatar_hu1c32271abeae6f5d357391e784e2385d_492895_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/nicholas-j.-hayward/>Nicholas J. Hayward</a></h2><h3>Faculty Advisors</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class=col-md-12><h2 class=mb-4>Ph.D Students</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/abhinav-goel/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/abhinav-goel/avatar_hu7cb3952ac4aea844af4496465caa46b2_33096_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/abhinav-goel/>Abhinav Goel</a></h2><h3>Ph.D Student at NVIDIA</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/abhinavgoel95/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/caleb-tung/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/caleb-tung/avatar_hu67210d28b1c7889d70ed7f4fa0773ab3_34654_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/caleb-tung/>Caleb Tung</a></h2><h3>Ph.D Student at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/calebtung target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/calebtung/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://calebtung.com/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/nick-john-eliopoulos/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/nick-john-eliopoulos/avatar_hua0e85ad50ec46ba901f060d16be3bebf_311549_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/nick-john-eliopoulos/>Nick John Eliopoulos</a></h2><h3>Ph.D Student at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/nickjeliopoulos target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/nick-j-eliopoulos/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/purvish-jajal/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/purvish-jajal/avatar_hua90c6d8d9090ec6efa517879e4ad741a_22529_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/purvish-jajal/>Purvish Jajal</a></h2><h3>Ph.D Student at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/purvish-jajal-989774190/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/shilpika/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/shilpika/avatar_hu2cb4e5d22b1f7de10483148288826938_23549_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/shilpika/>Shilpika</a></h2><h3>Ph.D Student at UC Davis</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/sshilpika target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/shilpika-19841285/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/wenxin-jiang/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/wenxin-jiang/avatar_hu96102dc604c8f9d388dd272d38dc7a0c_64117_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/wenxin-jiang/>Wenxin Jiang</a></h2><h3>Ph.D Student at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/Wenxin-Jiang target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/wenxin-jiang/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://wenxin-jiang.github.io/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Graduate Students</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/erik-c.-pautsch/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/erik-c.-pautsch/avatar_hua0c2b169da85f3e5c77b95d4eb43d4cc_100807_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/erik-c.-pautsch/>Erik C. Pautsch</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/epautsch target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/erik-pautsch-07664a118/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://www.erikpautsch.com target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/isaac-ahlgren/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/isaac-ahlgren/avatar_hu00fecd27c37a5a6f1aea0fa38c75311c_41348_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/isaac-ahlgren/>Isaac Ahlgren</a></h2><h3>Systems Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/isaac-ahlgren target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/isaac-ahlgren123/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/nicholas-synovic/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/nicholas-synovic/avatar_hubef60e9dbfc916e269371d18462ea941_2790788_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/nicholas-synovic/>Nicholas Synovic</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/NicholasSynovic target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/nsynovic target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://nsynovic.dev target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Undergraduate Students</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/igor-ponomarenko/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/igor-ponomarenko/avatar_hu7a583ead9baff84fd710035c6ed0d6f8_92916_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/igor-ponomarenko/>Igor Ponomarenko</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/IgorPono target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/igor-ponomarenko-43838922b/overlay/photo/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/juan-martinez/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/juan-martinez/avatar_hu824c69d797ebefdb6de58cf81790ae7c_84402_270x270_fill_q75_lanczos_center.JPG alt=Avatar></a><div class=portrait-title><h2><a href=/author/juan-martinez/>Juan Martinez</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/LukeNiemeyer target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/luke-niemeyer2025/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/karolina-ryzka/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/karolina-ryzka/avatar_huc6222bee2c97d678cdc0c1a9f095c36a_95115_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/karolina-ryzka/>Karolina Ryzka</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/KarolinaRyzka target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/karolina-ryzka-522365268/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/luke-baumel/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/luke-baumel/avatar_hu73162fd9d68c4393d1595020dab06748_6652_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/luke-baumel/>Luke Baumel</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/lbaumel target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/luke-baumel-b35532253/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/luke-niemeyer/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/luke-niemeyer/avatar_hu584ea4699da5c502f588ea13c5d27ec0_56803_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/luke-niemeyer/>Luke Niemeyer</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/LukeNiemeyer target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/luke-niemeyer2025/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/maddie-juarez/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/maddie-juarez/avatar_hufdd48130be9a2859e6a8b525815f6e1e_99291_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/maddie-juarez/>Maddie Juarez</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/mjuarez4 target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/madisonjuarez-mpj/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/matt-hyatt/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/matt-hyatt/avatar_hu97205da650b27f2b6771c8db720ce17d_268411_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/matt-hyatt/>Matt Hyatt</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/mhyatt000/ target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/matt-hyatt-7bb18422a/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://mhyatt000.github.io/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/rohan-sethi/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/rohan-sethi/avatar_hu22d9d9b69eb7b070405c4c593a00179c_49365_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/rohan-sethi/>Rohan Sethi</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/rsethi21 target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/yvette-diaz/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/yvette-diaz/avatar_hu4ae487daf6a7b00712a59f1b83e31d6b_41357_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/yvette-diaz/>Yvette Diaz</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/yvette1730 target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=/www.linkedin.com/in/yvettediaz0408><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Collaborators</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/dario-dematties/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/dario-dematties/avatar_hu3d787403bd99a841d28646759bbe3f14_75793_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/dario-dematties/>Dario Dematties</a></h2><h3>Faculty of Engineering at Northwestern Argonne Insitute of Science and Engineering</h3><ul class=network-icon aria-hidden=true><li><a href="https://www.linkedin.com/in/dario-dematties-aa034463/?locale=en_US" target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/eric-chan-tin/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/eric-chan-tin/avatar_hu8101b46c81a8eb965cae282152c40634_1425752_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/eric-chan-tin/>Eric Chan-Tin</a></h2><h3>Associate Professor of Computer Science at Loyola University Chicago</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/chantin-luc target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/eric-chan-tin target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://chantin.cs.luc.edu target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/florence-m.-chee/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/florence-m.-chee/avatar_hue9fc78aa17317b6fa3aa18ad316725fd_159393_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/florence-m.-chee/>Florence M. Chee</a></h2><h3>Associate Professor and Director of Center for Digital Ethics and Policy; Director of SIMLab at Loyola University of Chicago</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/cheeflo/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/gregory-matthews/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/gregory-matthews/avatar_hud8fe0840dbcc1ce18306caedb098a53f_5303880_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/gregory-matthews/>Gregory Matthews</a></h2><h3>Associate Professor, Director for Data Science at Loyola University Chicago</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/gregory-matthews-ph-d-0653ab6/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/james-davis/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/james-davis/avatar_hu9472edc5535f42cbf8e27550733f9072_62921_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/james-davis/>James Davis</a></h2><h3>Assistant Professor of Electrical and Computer Engineering at Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/davisjam target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/davisjam/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://davisjam.github.io/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jeffrey-carver/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jeffrey-carver/avatar_hu419b44e0d0a458586c6523e766189047_80101_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jeffrey-carver/>Jeffrey Carver</a></h2><h3>Professor of Computer Science at the University of Alabama</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jeff-carver/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/john-osullivan/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/john-osullivan/avatar_huac5281182c44c4c27227286f3092a909_192824_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/john-osullivan/>John O'Sullivan</a></h2><h3>Collaborator</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/john-roeske/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/john-roeske/avatar_hu4319d5ff4a4e9c05cba253c9f6e69f4d_70622_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/john-roeske/>John Roeske</a></h2><h3>Professor of Applied Health Sciences and Chief of the Division of Medical Physics for the Department of Radiation Oncology at Loyola University Chicago Medical Center</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/johnroeske/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/juliet-brophy/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/juliet-brophy/avatar_hu2e7af3211066c0dd51c4323c981db4ca_25464_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/juliet-brophy/>Juliet Brophy</a></h2><h3>Assistant Professor of Anthropology at Louisiana State University</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/juliet-brophy-75901580/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/michael-e.-papka/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/michael-e.-papka/avatar_huf4e5b680ff8a2d58535d56b827e272c4_15757_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/michael-e.-papka/>Michael E. Papka</a></h2><h3>Deputy Associate Laboratory Director/Director of ALCF at Argonne National Laboratory</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/michaelpapka/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/nicholas-baker/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/nicholas-baker/avatar_hu8213a8c0381f0fc97cc362abc3042b6a_3287979_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/nicholas-baker/>Nicholas Baker</a></h2><h3>Assistant Professor Psychology at Loyola University Chicago</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/robert-g.-morrison/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/robert-g.-morrison/avatar_hu6a0d6cfbaaba3a941edd5f8ac1906bf3_10485_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/robert-g.-morrison/>Robert G. Morrison</a></h2><h3>Associate Professor and Undergraduate Program Directory of Neuroscience at Loyola University Chicago</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/robertgmorrison/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/silvio-rizzi/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/silvio-rizzi/avatar_hucd3311b8bd3fe98c76327968ed15bfea_158743_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/silvio-rizzi/>Silvio Rizzi</a></h2><h3>Computer Scientist at Argonne National Laboratory</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/silvio-rizzi-17772525/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/venkatram-vishwanath/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/venkatram-vishwanath/avatar_hu94a384c9bc2f59ade56ef1d6b789b59c_140529_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/venkatram-vishwanath/>Venkatram Vishwanath</a></h2><h3>Computer Scientist at Argonne National Laboratory</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/venkatram-vishwanath-b4b26145/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/vipin-chaudhary/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/vipin-chaudhary/avatar_hu3d03a01dcc18bc5be0e67db3d8d209a6_33495_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/vipin-chaudhary/>Vipin Chaudhary</a></h2><h3>Department Chair of Computer and Data Sciences Department at Case Western Reserve University</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/vipin-chaudhary-379529/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/xiao-yong-jin/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/xiao-yong-jin/avatar_hu4b518ced497b9fce445f1aa22c23562f_192291_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/xiao-yong-jin/>Xiao-Yong Jin</a></h2><h3>Assistant Scientist at Argonne National Laboratory</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/xiao-yong-jin-58075815/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/yung-hsiang-lu/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/yung-hsiang-lu/avatar_hu243e4cf85ebbdae69fa9e2deb9240aff_71372_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></h2><h3>Professor of Computer Engineering at the High-Energy Low-Power Systems Laboratory, Purdue University</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/luyunghsiang target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/yung-hsiang-lu-51842b22/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li><li><a href=https://yhlu.net/ target=_blank rel=noopener><i class="fas fa-envelope"></i></a></li></ul></div></div><div class=col-md-12><h2 class=mb-4>Alumni</h2></div><div class="col-12 col-sm-auto people-person"><a href=/author/alexander-rose/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/alexander-rose/avatar_hubcd3a6817aada493d6869c88f28c565c_9817_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/alexander-rose/>Alexander Rose</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/alexander-c-rose/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/alexandra-crane/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/alexandra-crane/avatar_hu67fb641a71840b7b97e60d679d01fbe0_24908_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/alexandra-crane/>Alexandra Crane</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/alexandra-crane/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/allan-miller/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/allan-miller/avatar_hubf2475040fe4ef350080994889581b29_11578_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/allan-miller/>Allan Miller</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/ajm10565/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/andrew-lake/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/andrew-lake/avatar_huac5281182c44c4c27227286f3092a909_192824_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/andrew-lake/>Andrew Lake</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 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href=https://github.com/JackNarowski target=_blank rel=noopener><i class="fab fa-github"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jake-palmer/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jake-palmer/avatar_hu57bdc6762c70a663a4405ef6a6a520fb_36999_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jake-palmer/>Jake Palmer</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jacob-palmer-2630b7237/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jakob-veslsky/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jakob-veslsky/avatar_hu4e17cd83fbf26c9da8ff5259798d9680_35674_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jakob-veslsky/>Jakob Veslsky</a></h2><h3>Systems Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jakob-veselsky/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jean-luc-putter/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/jean-luc-putter/avatar_hu57fa8c6230b3c68de35309b17c889dd7_46659_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/jean-luc-putter/>Jean-Luc Putter</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/jean-luc-putter-96103317b/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/jonathan-warkentin/><img width=270 height=270 loading=lazy class="avatar avatar-circle" 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Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/robinsonmj/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/morgan-richardson/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/morgan-richardson/avatar_hu84bf63d6ed734f9bd4c6e86fd7aa56be_2441711_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/morgan-richardson/>Morgan Richardson</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/morganrmarie/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/oscar-yanek/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/oscar-yanek/avatar_hu13a304206ba2733f80832ac311fb55f7_406778_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/oscar-yanek/>Oscar Yanek</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://github.com/oyanek target=_blank rel=noopener><i class="fab fa-github"></i></a></li><li><a href=https://www.linkedin.com/in/oscar-yanek-0a665a157/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/riley-clarkson/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/riley-clarkson/avatar_hu880c56a4c61ab5caad5d0d3ba91b00c4_113592_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/riley-clarkson/>Riley Clarkson</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/riley-clarkson-975632150/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/sean-higgins/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/sean-higgins/avatar_hu7c9c3c2fccdbc5baa7a0057fe535a83f_309048_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/sean-higgins/>Sean Higgins</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/riley-clarkson-975632150/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/sohini-thota/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/sohini-thota/avatar_hu935abebaf3a33c7b19c4c26fd7b54c2f_47518_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/sohini-thota/>Sohini Thota</a></h2><h3>Software Engineer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/sohinithota/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/sophie-von-hatton/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/sophie-von-hatton/avatar_hubd89298e42f143ddcdc09a9840fcbe27_5553_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/sophie-von-hatton/>Sophie Von Hatton</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/stephanie-rodriguez/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/stephanie-rodriguez/avatar_hu3c91c43511ee62576852e613bb5a6e35_46473_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/stephanie-rodriguez/>Stephanie Rodriguez</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/stephanie99rodriguez/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/trey-roche/><img width=270 height=270 loading=lazy class="avatar avatar-circle" src=/author/trey-roche/avatar_hu0ac9e6a78568632fc47075338084ed36_87518_270x270_fill_q75_lanczos_center.jpg alt=Avatar></a><div class=portrait-title><h2><a href=/author/trey-roche/>Trey Roche</a></h2><h3>Software Developer</h3><ul class=network-icon aria-hidden=true><li><a href=https://www.linkedin.com/in/trey-roche-587b7717a/ target=_blank rel=noopener><i class="fab fa-linkedin"></i></a></li></ul></div></div><div class="col-12 col-sm-auto people-person"><a href=/author/zachary-gallagher/><img width=270 height=270 loading=lazy 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diff --git a/publication-type/1/index.html b/publication-type/1/index.html
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/publication-type/1/page/3/index.html b/publication-type/1/page/3/index.html
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diff --git a/publication-type/1/page/4/index.html b/publication-type/1/page/4/index.html
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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+<script src=/en/js/wowchemy.min.85290d887e7fcdd400ccb3ffb9bcd3e3.js></script>
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 <span aria-hidden=true>&#215;</span></button></div><div class=modal-body><pre><code></code></pre></div><div class=modal-footer><a class="btn btn-outline-primary my-1 js-copy-cite" href=# target=_blank><i class="fas fa-copy"></i> Copy</a>
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\ No newline at end of file
diff --git a/publication-type/1/page/5/index.html b/publication-type/1/page/5/index.html
index 1961848..77be31d 100644
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@@ -3,7 +3,7 @@
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/publication-type/2/index.html b/publication-type/2/index.html
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/publication-type/2/page/2/index.html b/publication-type/2/page/2/index.html
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/publication-type/2/page/3/index.html b/publication-type/2/page/3/index.html
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/publication-type/2/page/4/index.html b/publication-type/2/page/4/index.html
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@@ -12,7 +12,7 @@
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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\ No newline at end of file
diff --git a/publication-type/2/page/5/index.html b/publication-type/2/page/5/index.html
index 596ee6c..fd067ec 100644
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+++ b/publication-type/2/page/5/index.html
@@ -6,7 +6,7 @@
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+<i class="fab fa-creative-commons-nd fa-2x" aria-hidden=true></i></a></p><p class=powered-by>Published with <a href="https://wowchemy.com/?utm_campaign=poweredby" target=_blank rel=noopener>Wowchemy</a> — the free, <a href=https://github.com/wowchemy/wowchemy-hugo-themes target=_blank rel=noopener>open source</a> website builder that empowers creators.</p></footer></div></div><script src=/js/vendor-bundle.min.32ee83730ed883becad04bc5170512cc.js></script>
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diff --git a/publication-type/4/index.html b/publication-type/4/index.html
index 45d447f..37726c7 100644
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>4</h1></div><div class=universal-wrapper><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/publication/carver-collaborative-2016/>Collaborative Research: Making Software Engineering Work for Computational Science & Engineering: An Integrated Approach</a></div><div class="stream-meta article-metadata"><div><span><a href=/author/jeffrey-c.-carver/>Jeffrey C. Carver</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div></div><div class=btn-links><a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/carver-collaborative-2016/cite.bib>Cite</a></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/publication/thiruvathukal-apt-2015/>Apt Compiler Toolkit (Legacy Document)</a></div><div class="stream-meta article-metadata"><div><span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/ufuk-verun/>Ufuk Verun</a></span></div></div><div class=btn-links><a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/thiruvathukal-apt-2015/cite.bib>Cite</a></div></div><div class=ml-3></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication-type/5/index.html b/publication-type/5/index.html
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 <a class="btn btn-outline-primary btn-page-header btn-sm" href=https://mitpress.mit.edu/9780262016803/codename-revolution/ target=_blank rel=noopener>URL</a></div></div><div class=ml-3></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication-type/6/index.html b/publication-type/6/index.html
index d93bfb8..d6ce62f 100644
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+++ b/publication-type/6/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>6</h1></div><div class=universal-wrapper><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/publication/kaylor-restfs-2011/>RestFS: The Filesystem as a Connector Abstraction for Flexible Resource and Service Composition</a></div><div class="stream-meta article-metadata"><div><span><a href=/author/joseph-p.-kaylor/>Joseph P. Kaylor</a></span>, <span><a href=/author/konstantin-laufer/>Konstantin Läufer</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div></div><div class=btn-links><a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/kaylor-restfs-2011/cite.bib>Cite</a></div></div><div class=ml-3></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication/abegaz-addressing-2020/index.html b/publication/abegaz-addressing-2020/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="In this paper, we address the detection of rogue autonomous vehicles using an integrated approach involving computer vision, activity monitoring and contextual information. The proposed approach can be used to detect rogue autonomous vehicles using sensors installed on observer vehicles that are used to monitor and identify the behavior of other autonomous vehicles operating on the road. The safe braking distance and the safe following time are computed to identify if an autonomous vehicle is behaving properly. Our preliminary results show that there is a wide variation in both the safe following time and the safe braking distance recorded using three autonomous vehicles in a test-bed. These initial results show significant progress for the future efforts to coordinate the operation of autonomous, semi-autonomous and non-autonomous vehicles."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/"><meta property="og:title" content="Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information | Software and Systems Laboratory"><meta property="og:description" content="In this paper, we address the detection of rogue autonomous vehicles using an integrated approach involving computer vision, activity monitoring and contextual information. The proposed approach can be used to detect rogue autonomous vehicles using sensors installed on observer vehicles that are used to monitor and identify the behavior of other autonomous vehicles operating on the road. The safe braking distance and the safe following time are computed to identify if an autonomous vehicle is behaving properly. Our preliminary results show that there is a wide variation in both the safe following time and the safe braking distance recorded using three autonomous vehicles in a test-bed. These initial results show significant progress for the future efforts to coordinate the operation of autonomous, semi-autonomous and non-autonomous vehicles."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:30+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:31-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/"},"headline":"Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information","datePublished":"2023-02-09T18:57:30Z","dateModified":"2023-02-09T12:57:31-06:00","author":{"@type":"Person","name":"Brook Abegaz"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"In this paper, we address the detection of rogue autonomous vehicles using an integrated approach involving computer vision, activity monitoring and contextual information. The proposed approach can be used to detect rogue autonomous vehicles using sensors installed on observer vehicles that are used to monitor and identify the behavior of other autonomous vehicles operating on the road. The safe braking distance and the safe following time are computed to identify if an autonomous vehicle is behaving properly. Our preliminary results show that there is a wide variation in both the safe following time and the safe braking distance recorded using three autonomous vehicles in a test-bed. These initial results show significant progress for the future efforts to coordinate the operation of autonomous, semi-autonomous and non-autonomous vehicles."}</script><title>Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=53117bccfd97bd76fa082389051c02d0><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information</h1><div class=article-metadata><div><span><a href=/author/brook-abegaz/>Brook Abegaz</a></span>, <span><a href=/author/eric-chan-tin/>Eric Chan-Tin</a></span>, <span><a href=/author/neil-klingensmith/>Neil Klingensmith</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/abegaz-addressing-2020/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3409251.3411724 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/266/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>In this paper, we address the detection of rogue autonomous vehicles using an integrated approach involving computer vision, activity monitoring and contextual information. The proposed approach can be used to detect rogue autonomous vehicles using sensors installed on observer vehicles that are used to monitor and identify the behavior of other autonomous vehicles operating on the road. The safe braking distance and the safe following time are computed to identify if an autonomous vehicle is behaving properly. Our preliminary results show that there is a wide variation in both the safe following time and the safe braking distance recorded using three autonomous vehicles in a test-bed. These initial results show significant progress for the future efforts to coordinate the operation of autonomous, semi-autonomous and non-autonomous vehicles.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/&text=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/&t=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information&body=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/&title=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information%20https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/&title=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/266/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>In this paper, we address the detection of rogue autonomous vehicles using an integrated approach involving computer vision, activity monitoring and contextual information. The proposed approach can be used to detect rogue autonomous vehicles using sensors installed on observer vehicles that are used to monitor and identify the behavior of other autonomous vehicles operating on the road. The safe braking distance and the safe following time are computed to identify if an autonomous vehicle is behaving properly. Our preliminary results show that there is a wide variation in both the safe following time and the safe braking distance recorded using three autonomous vehicles in a test-bed. These initial results show significant progress for the future efforts to coordinate the operation of autonomous, semi-autonomous and non-autonomous vehicles.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/&amp;text=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/&amp;t=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information&amp;body=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/&amp;title=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information%20https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/abegaz-addressing-2020/&amp;title=Addressing%20Rogue%20Vehicles%20by%20Integrating%20Computer%20Vision,%20Activity%20Monitoring,%20and%20Contextual%20Information" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Surveillance cameras are most useful when they are spaced out to maximize coverage of an area. However, deciding where to place cameras is an NP-hard problem and researchers have proposed heuristic solutions. Existing work does not consider a significant restriction of computer vision: in order to track a moving object, the object must occupy enough pixels. The number of pixels depends on many factors (How far away is the object? What is the camera resolution? What is the focal length?). In this study, we propose a camera placement method that identifies effective camera placement in arbitrary spaces and can account for different camera types as well. Our strategy represents spaces as polygons, then uses a greedy algorithm to partition the polygons and determine the cameras’ locations to provide the desired coverage. Our solution also makes it possible to perform object tracking via overlapping camera placement. Our method is evaluated against complex shapes and real-world museum floor plans, achieving up to 85% coverage and 25% overlap."}</script><title>Camera Placement Meeting Restrictions of Computer Vision | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=1b189ead28a46644ce853c2af19b19d5><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Camera Placement Meeting Restrictions of Computer Vision</h1><div class=article-metadata><div><span><a href=/author/sara-aghajanzadeh/>Sara Aghajanzadeh</a></span>, <span><a href=/author/roopasree-naidu/>Roopasree Naidu</a></span>, <span><a href=/author/shuo-han-chen/>Shuo-Han Chen</a></span>, <span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>October 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/aghajanzadeh-camera-2020/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/ICIP40778.2020.9190851 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/250 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>In the blooming era of smart edge devices, surveillance cameras have been deployed in many locations. Surveillance cameras are most useful when they are spaced out to maximize coverage of an area. However, deciding where to place cameras is an NP-hard problem and researchers have proposed heuristic solutions. Existing work does not consider a significant restriction of computer vision: in order to track a moving object, the object must occupy enough pixels. The number of pixels depends on many factors (How far away is the object? What is the camera resolution? What is the focal length?). In this study, we propose a camera placement method that identifies effective camera placement in arbitrary spaces and can account for different camera types as well. Our strategy represents spaces as polygons, then uses a greedy algorithm to partition the polygons and determine the cameras’ locations to provide the desired coverage. Our solution also makes it possible to perform object tracking via overlapping camera placement. Our method is evaluated against complex shapes and real-world museum floor plans, achieving up to 85% coverage and 25% overlap.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2020 IEEE International Conference on Image Processing (ICIP)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/&text=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/&t=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision&body=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/&title=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision%20https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/&title=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/250 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>In the blooming era of smart edge devices, surveillance cameras have been deployed in many locations. Surveillance cameras are most useful when they are spaced out to maximize coverage of an area. However, deciding where to place cameras is an NP-hard problem and researchers have proposed heuristic solutions. Existing work does not consider a significant restriction of computer vision: in order to track a moving object, the object must occupy enough pixels. The number of pixels depends on many factors (How far away is the object? What is the camera resolution? What is the focal length?). In this study, we propose a camera placement method that identifies effective camera placement in arbitrary spaces and can account for different camera types as well. Our strategy represents spaces as polygons, then uses a greedy algorithm to partition the polygons and determine the cameras’ locations to provide the desired coverage. Our solution also makes it possible to perform object tracking via overlapping camera placement. Our method is evaluated against complex shapes and real-world museum floor plans, achieving up to 85% coverage and 25% overlap.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2020 IEEE International Conference on Image Processing (ICIP)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/&amp;text=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/&amp;t=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision&amp;body=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/&amp;title=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision%20https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/aghajanzadeh-camera-2020/&amp;title=Camera%20Placement%20Meeting%20Restrictions%20of%20Computer%20Vision" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries and energy efficiency is critical. This article serves two main purposes: (1) Examine the state-of-the-art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This article summarizes 2018 winners' solutions. (2) Suggest directions for research as well as opportunities for low-power computer vision."}</script><title>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=93c5ddeee7099af2e505a5429dd2c7f6><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>2018 Low-Power Image Recognition Challenge: Status, Challenegs, Opportunities</h1><div class=article-metadata><div><span><a href=/author/sergei-alyamkin/>Sergei Alyamkin</a></span>, <span><a href=/author/matthew-ardi/>Matthew Ardi</a></span>, <span><a href=/author/achille-brighton/>Achille Brighton</a></span>, <span><a href=/author/alexander-c.-berg/>Alexander C. Berg</a></span>, <span><a href=/author/yiran-chen/>Yiran Chen</a></span>, <span><a href=/author/hsin-pai-cheng/>Hsin-Pai Cheng</a></span>, <span><a href=/author/bo-chen/>Bo Chen</a></span>, <span><a href=/author/zichen-fan/>Zichen Fan</a></span>, <span><a href=/author/chen-feng/>Chen Feng</a></span>, <span><a href=/author/bo-fu/>Bo Fu</a></span>, <span><a href=/author/kent-gauen/>Kent Gauen</a></span>, <span><a href=/author/jongkook-go/>Jongkook Go</a></span>, <span><a href=/author/alexander-goncharenko/>Alexander Goncharenko</a></span>, <span><a href=/author/xuyang-guo/>Xuyang Guo</a></span>, <span><a href=/author/hong-hanh-nguyen/>Hong Hanh Nguyen</a></span>, <span><a href=/author/andrew-howard/>Andrew Howard</a></span>, <span><a href=/author/yuanjun-huang/>Yuanjun Huang</a></span>, <span><a href=/author/donghyun-kang/>Donghyun Kang</a></span>, <span><a href=/author/jaeyoun-kim/>Jaeyoun Kim</a></span>, <span><a href=/author/alexander-kondratyev/>Alexander Kondratyev</a></span>, <span><a href=/author/seungjae-lee/>Seungjae Lee</a></span>, <span><a href=/author/suwoong-lee/>Suwoong Lee</a></span>, <span><a href=/author/junhyeok-lee/>Junhyeok Lee</a></span>, <span><a href=/author/zhiyu-liang/>Zhiyu Liang</a></span>, <span><a href=/author/xin-liu/>Xin Liu</a></span>, <span><a href=/author/juzheng-liu/>Juzheng Liu</a></span>, <span><a href=/author/zichao-li/>Zichao Li</a></span>, <span><a href=/author/yang-lu/>Yang Lu</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/deeptanshu-malik/>Deeptanshu Malik</a></span>, <span><a href=/author/eunbyung-park/>Eunbyung Park</a></span>, <span><a href=/author/denis-repin/>Denis Repin</a></span>, <span><a href=/author/tao-sheng/>Tao Sheng</a></span>, <span><a href=/author/liang-shen/>Liang Shen</a></span>, <span><a href=/author/fei-sun/>Fei Sun</a></span>, <span><a href=/author/david-svitov/>David Svitov</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/baiwu-zhang/>Baiwu Zhang</a></span>, <span><a href=/author/jingchi-zhang/>Jingchi Zhang</a></span>, <span><a href=/author/xiaopeng-zhang/>Xiaopeng Zhang</a></span>, <span><a href=/author/shaojie-zhuo/>Shaojie Zhuo</a></span></div><span class=article-date>January 2018</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/alyamkin-2018-2018/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/217/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries and energy efficiency is critical. This article serves two main purposes: (1) Examine the state-of-the-art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This article summarizes 2018 winners&rsquo; solutions. (2) Suggest directions for research as well as opportunities for low-power computer vision.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>arXiv:1810.01732</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/&text=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/&t=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities&body=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/&title=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities%20https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/&title=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/217/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries and energy efficiency is critical. This article serves two main purposes: (1) Examine the state-of-the-art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This article summarizes 2018 winners&rsquo; solutions. (2) Suggest directions for research as well as opportunities for low-power computer vision.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>arXiv:1810.01732</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/&amp;text=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/&amp;t=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities&amp;body=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/&amp;title=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities%20https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/alyamkin-2018-2018/&amp;title=2018%20Low-Power%20Image%20Recognition%20Challenge:%20Status,%20Challenegs,%20Opportunities" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions, and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries, and energy efficiency is critical. This paper serves the following two main purposes. First, examine the state of the art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This paper summarizes the 2018 winners' solutions. Second, suggest directions for research as well as opportunities for low-power computer vision."}</script><title>Low-Power Computer Vision: Status, Challenges, and Opportunities | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=034bd4b73781c5bf20cc7cd4018b9554><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Low-Power Computer Vision: Status, Challenges, and Opportunities</h1><div class=article-metadata><div><span><a href=/author/sergei-alyamkin/>Sergei Alyamkin</a></span>, <span><a href=/author/matthew-ardi/>Matthew Ardi</a></span>, <span><a href=/author/alexander-c.-berg/>Alexander C. Berg</a></span>, <span><a href=/author/achille-brighton/>Achille Brighton</a></span>, <span><a href=/author/bo-chen/>Bo Chen</a></span>, <span><a href=/author/yiran-chen/>Yiran Chen</a></span>, <span><a href=/author/hsin-pai-cheng/>Hsin-Pai Cheng</a></span>, <span><a href=/author/zichen-fan/>Zichen Fan</a></span>, <span><a href=/author/chen-feng/>Chen Feng</a></span>, <span><a href=/author/bo-fu/>Bo Fu</a></span>, <span><a href=/author/kent-gauen/>Kent Gauen</a></span>, <span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/alexander-goncharenko/>Alexander Goncharenko</a></span>, <span><a href=/author/xuyang-guo/>Xuyang Guo</a></span>, <span><a href=/author/soonhoi-ha/>Soonhoi Ha</a></span>, <span><a href=/author/andrew-howard/>Andrew Howard</a></span>, <span><a href=/author/xiao-hu/>Xiao Hu</a></span>, <span><a href=/author/yuanjun-huang/>Yuanjun Huang</a></span>, <span><a href=/author/donghyun-kang/>Donghyun Kang</a></span>, <span><a href=/author/jaeyoun-kim/>Jaeyoun Kim</a></span>, <span><a href=/author/jong-gook-ko/>Jong Gook Ko</a></span>, <span><a href=/author/alexander-kondratyev/>Alexander Kondratyev</a></span>, <span><a href=/author/junhyeok-lee/>Junhyeok Lee</a></span>, <span><a href=/author/seungjae-lee/>Seungjae Lee</a></span>, <span><a href=/author/suwoong-lee/>Suwoong Lee</a></span>, <span><a href=/author/zichao-li/>Zichao Li</a></span>, <span><a href=/author/zhiyu-liang/>Zhiyu Liang</a></span>, <span><a href=/author/juzheng-liu/>Juzheng Liu</a></span>, <span><a href=/author/xin-liu/>Xin Liu</a></span>, <span><a href=/author/yang-lu/>Yang Lu</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/deeptanshu-malik/>Deeptanshu Malik</a></span>, <span><a href=/author/hong-hanh-nguyen/>Hong Hanh Nguyen</a></span>, <span><a href=/author/eunbyung-park/>Eunbyung Park</a></span>, <span><a href=/author/denis-repin/>Denis Repin</a></span>, <span><a href=/author/liang-shen/>Liang Shen</a></span>, <span><a href=/author/tao-sheng/>Tao Sheng</a></span>, <span><a href=/author/fei-sun/>Fei Sun</a></span>, <span><a href=/author/david-svitov/>David Svitov</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/baiwu-zhang/>Baiwu Zhang</a></span>, <span><a href=/author/jingchi-zhang/>Jingchi Zhang</a></span>, <span><a href=/author/xiaopeng-zhang/>Xiaopeng Zhang</a></span>, <span><a href=/author/shaojie-zhuo/>Shaojie Zhuo</a></span></div><span class=article-date>June 2019</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/alyamkin-low-power-2019/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/JETCAS.2019.2911899 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/217 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions, and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries, and energy efficiency is critical. This paper serves the following two main purposes. First, examine the state of the art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This paper summarizes the 2018 winners&rsquo; solutions. Second, suggest directions for research as well as opportunities for low-power computer vision.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE Journal on Emerging and Selected Topics in Circuits and Systems</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/&text=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/&t=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities&body=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/&title=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities%20https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/&title=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/217 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile phones, many autonomous systems rely on visual data for making decisions, and some of these systems have limited energy (such as unmanned aerial vehicles also called drones and mobile robots). These systems rely on batteries, and energy efficiency is critical. This paper serves the following two main purposes. First, examine the state of the art for low-power solutions to detect objects in images. Since 2015, the IEEE Annual International Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision solutions. This paper summarizes the 2018 winners&rsquo; solutions. Second, suggest directions for research as well as opportunities for low-power computer vision.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE Journal on Emerging and Selected Topics in Circuits and Systems</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/&amp;text=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/&amp;t=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities&amp;body=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/&amp;title=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities%20https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/alyamkin-low-power-2019/&amp;title=Low-Power%20Computer%20Vision:%20Status,%20Challenges,%20and%20Opportunities" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Machine learning techniques are becoming a fundamental tool for scientific and engineering progress. These techniques are applied in contexts as diverse as astronomy and spam filtering. However, correctly applying these techniques requires careful engineering. Much attention has been paid to the technical potential; relatively little attention has been paid to the software engineering process required to bring research-based machine learning techniques into practical utility. Technology companies have supported the engineering community through machine learning frameworks such as TensorFLow and PyTorch, but the details of how to engineer complex machine learning models in these frameworks have remained hidden. To promote best practices within the engineering community, academic institutions and Google have partnered to launch a Special Interest Group on Machine Learning Models (SIGMODELS) whose goal is to develop exemplary implementations of prominent machine learning models in community locations such as the TensorFlow Model Garden (TFMG). The purpose of this report is to define a process for reproducing a state-of-the-art machine learning model at a level of quality suitable for inclusion in the TFMG. We define the engineering process and elaborate on each step, from paper analysis to model release. We report on our experiences implementing the YOLO model family with a team of 26 student researchers, share the tools we developed, and describe the lessons we learned along the way."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/banna-experience-2021/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/banna-experience-2021/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/banna-experience-2021/"><meta property="og:title" content="An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors | Software and Systems Laboratory"><meta property="og:description" content="Machine learning techniques are becoming a fundamental tool for scientific and engineering progress. These techniques are applied in contexts as diverse as astronomy and spam filtering. However, correctly applying these techniques requires careful engineering. Much attention has been paid to the technical potential; relatively little attention has been paid to the software engineering process required to bring research-based machine learning techniques into practical utility. Technology companies have supported the engineering community through machine learning frameworks such as TensorFLow and PyTorch, but the details of how to engineer complex machine learning models in these frameworks have remained hidden. To promote best practices within the engineering community, academic institutions and Google have partnered to launch a Special Interest Group on Machine Learning Models (SIGMODELS) whose goal is to develop exemplary implementations of prominent machine learning models in community locations such as the TensorFlow Model Garden (TFMG). The purpose of this report is to define a process for reproducing a state-of-the-art machine learning model at a level of quality suitable for inclusion in the TFMG. We define the engineering process and elaborate on each step, from paper analysis to model release. We report on our experiences implementing the YOLO model family with a team of 26 student researchers, share the tools we developed, and describe the lessons we learned along the way."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:48+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:48-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/banna-experience-2021/"},"headline":"An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors","datePublished":"2023-02-09T18:57:48Z","dateModified":"2023-02-09T12:57:48-06:00","author":{"@type":"Person","name":"Vishnu Banna"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Machine learning techniques are becoming a fundamental tool for scientific and engineering progress. These techniques are applied in contexts as diverse as astronomy and spam filtering. However, correctly applying these techniques requires careful engineering. Much attention has been paid to the technical potential; relatively little attention has been paid to the software engineering process required to bring research-based machine learning techniques into practical utility. Technology companies have supported the engineering community through machine learning frameworks such as TensorFLow and PyTorch, but the details of how to engineer complex machine learning models in these frameworks have remained hidden. To promote best practices within the engineering community, academic institutions and Google have partnered to launch a Special Interest Group on Machine Learning Models (SIGMODELS) whose goal is to develop exemplary implementations of prominent machine learning models in community locations such as the TensorFlow Model Garden (TFMG). The purpose of this report is to define a process for reproducing a state-of-the-art machine learning model at a level of quality suitable for inclusion in the TFMG. We define the engineering process and elaborate on each step, from paper analysis to model release. We report on our experiences implementing the YOLO model family with a team of 26 student researchers, share the tools we developed, and describe the lessons we learned along the way."}</script><title>An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=7e9d159121914984e5d50fe657d8a052><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors</h1><div class=article-metadata><div><span><a href=/author/vishnu-banna/>Vishnu Banna</a></span>, <span><a href=/author/akhil-chinnakotla/>Akhil Chinnakotla</a></span>, <span><a href=/author/zhengxin-yan/>Zhengxin Yan</a></span>, <span><a href=/author/ani-vegesana/>Ani Vegesana</a></span>, <span><a href=/author/naveen-vivek/>Naveen Vivek</a></span>, <span><a href=/author/kruthi-krishnappa/>Kruthi Krishnappa</a></span>, <span><a href=/author/wenxin-jiang/>Wenxin Jiang</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/james-c.-davis/>James C. Davis</a></span></div><span class=article-date>January 2021</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/banna-experience-2021/cite.bib>Cite</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Machine learning techniques are becoming a fundamental tool for scientific and engineering progress. These techniques are applied in contexts as diverse as astronomy and spam filtering. However, correctly applying these techniques requires careful engineering. Much attention has been paid to the technical potential; relatively little attention has been paid to the software engineering process required to bring research-based machine learning techniques into practical utility. Technology companies have supported the engineering community through machine learning frameworks such as TensorFLow and PyTorch, but the details of how to engineer complex machine learning models in these frameworks have remained hidden. To promote best practices within the engineering community, academic institutions and Google have partnered to launch a Special Interest Group on Machine Learning Models (SIGMODELS) whose goal is to develop exemplary implementations of prominent machine learning models in community locations such as the TensorFlow Model Garden (TFMG). The purpose of this report is to define a process for reproducing a state-of-the-art machine learning model at a level of quality suitable for inclusion in the TFMG. We define the engineering process and elaborate on each step, from paper analysis to model release. 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+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors</h1><div class=article-metadata><div><span><a href=/author/vishnu-banna/>Vishnu Banna</a></span>, <span><a href=/author/akhil-chinnakotla/>Akhil Chinnakotla</a></span>, <span><a href=/author/zhengxin-yan/>Zhengxin Yan</a></span>, <span><a href=/author/ani-vegesana/>Ani Vegesana</a></span>, <span><a href=/author/naveen-vivek/>Naveen Vivek</a></span>, <span><a href=/author/kruthi-krishnappa/>Kruthi Krishnappa</a></span>, <span><a href=/author/wenxin-jiang/>Wenxin Jiang</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/james-c.-davis/>James C. Davis</a></span></div><span class=article-date>January 2021</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/banna-experience-2021/cite.bib>Cite</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Machine learning techniques are becoming a fundamental tool for scientific and engineering progress. These techniques are applied in contexts as diverse as astronomy and spam filtering. However, correctly applying these techniques requires careful engineering. Much attention has been paid to the technical potential; relatively little attention has been paid to the software engineering process required to bring research-based machine learning techniques into practical utility. Technology companies have supported the engineering community through machine learning frameworks such as TensorFLow and PyTorch, but the details of how to engineer complex machine learning models in these frameworks have remained hidden. To promote best practices within the engineering community, academic institutions and Google have partnered to launch a Special Interest Group on Machine Learning Models (SIGMODELS) whose goal is to develop exemplary implementations of prominent machine learning models in community locations such as the TensorFlow Model Garden (TFMG). The purpose of this report is to define a process for reproducing a state-of-the-art machine learning model at a level of quality suitable for inclusion in the TFMG. We define the engineering process and elaborate on each step, from paper analysis to model release. 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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Best of RESPECT, Part 2</h1><div class=article-metadata><div><span><a href=/author/tiffany-barnes/>Tiffany Barnes</a></span>, <span><a href=/author/jamie-payton/>Jamie Payton</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/kristy-elizabeth-boyer/>Kristy Elizabeth Boyer</a></span>, <span><a href=/author/jeffrey-forbes/>Jeffrey Forbes</a></span></div><span class=article-date>January 2016</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/barnes-best-2016/cite.bib>Cite</a>
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In this early work, we are exploring this rethinking as part of a larger study within the center on general methods for isolating the complexity frequently associated with XML-based frameworks."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:35+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:35-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/borg-single-2014/"},"headline":"Single Page Apps for Humanists: A Case Study Using the Perseus Richmond Times Corpus","datePublished":"2023-02-09T18:57:35Z","dateModified":"2023-02-09T12:57:35-06:00","author":{"@type":"Person","name":"Trevor Borg"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"TEI is good at what it does: static documents rendered in glorious detail. But TEI is old. Its age doesn’t make TEI irrelevant, but it’s important to be conscious of how the way we weave the fabric of the web has changed since TEI was conceived in 1994, and reevaluate some of our assumptions about its use. In this early work, we are exploring this rethinking as part of a larger study within the center on general methods for isolating the complexity frequently associated with XML-based frameworks."}</script><title>Single Page Apps for Humanists: A Case Study Using the Perseus Richmond Times Corpus | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=f4c99f6817fb671d45b4173e418aec21><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Single Page Apps for Humanists: A Case Study Using the Perseus Richmond Times Corpus</h1><div class=article-metadata><div><span><a href=/author/trevor-borg/>Trevor Borg</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2014</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/borg-single-2014/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://dharchive.org/paper/DH2014/Paper-888.xml target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>TEI is good at what it does: static documents rendered in glorious detail. But TEI is old. Its age doesn’t make TEI irrelevant, but it’s important to be conscious of how the way we weave the fabric of the web has changed since TEI was conceived in 1994, and reevaluate some of our assumptions about its use. In this early work, we are exploring this rethinking as part of a larger study within the center on general methods for isolating the complexity frequently associated with XML-based frameworks.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of Digital Humanities 2014 (DH2014)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/borg-single-2014/&text=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/borg-single-2014/&t=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus&body=https://ssl.cs.luc.edu/publication/borg-single-2014/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/borg-single-2014/&title=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus%20https://ssl.cs.luc.edu/publication/borg-single-2014/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/borg-single-2014/&title=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://dharchive.org/paper/DH2014/Paper-888.xml target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>TEI is good at what it does: static documents rendered in glorious detail. But TEI is old. Its age doesn’t make TEI irrelevant, but it’s important to be conscious of how the way we weave the fabric of the web has changed since TEI was conceived in 1994, and reevaluate some of our assumptions about its use. In this early work, we are exploring this rethinking as part of a larger study within the center on general methods for isolating the complexity frequently associated with XML-based frameworks.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of Digital Humanities 2014 (DH2014)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/borg-single-2014/&amp;text=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/borg-single-2014/&amp;t=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus&amp;body=https://ssl.cs.luc.edu/publication/borg-single-2014/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/borg-single-2014/&amp;title=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus%20https://ssl.cs.luc.edu/publication/borg-single-2014/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/borg-single-2014/&amp;title=Single%20Page%20Apps%20for%20Humanists:%20A%20Case%20Study%20Using%20the%20Perseus%20Richmond%20Times%20Corpus" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Brophy"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Previous research provides a method for reducing the subjectivity in molar tooth identification of animals in the family Bovidae, by quantifying the occlusal surface of teeth using elliptical Fourier analysis. This current paper specifically tests what effect teeth with medium to late wear have on the identification of bovid teeth when using the form (size and shape) of the occlusal surface to classify specimens."}</script><title>An Analysis of the Effect of Tooth Wear on Bovid Identification | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=f7112000825e23562dcecea2c016ad8a><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>An Analysis of the Effect of Tooth Wear on Bovid Identification</h1><div class=article-metadata><div><span><a href=/author/juliet-k.-brophy/>Juliet K. Brophy</a></span>, <span><a href=/author/gregory-j.-matthews/>Gregory J. Matthews</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>July 2019</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/brophy-analysis-2019/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.17159/sajs.2019/5496 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://www.sajs.co.za/article/view/5496 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Previous research provides a method for reducing the subjectivity in molar tooth identification of animals in the family Bovidae, by quantifying the occlusal surface of teeth using elliptical Fourier analysis. This current paper specifically tests what effect teeth with medium to late wear have on the identification of bovid teeth when using the form (size and shape) of the occlusal surface to classify specimens.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>South African Journal of Science</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/brophy-analysis-2019/&text=An%20Analysis%20of%20the%20Effect%20of%20Tooth%20Wear%20on%20Bovid%20Identification" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/brophy-analysis-2019/&t=An%20Analysis%20of%20the%20Effect%20of%20Tooth%20Wear%20on%20Bovid%20Identification" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=An%20Analysis%20of%20the%20Effect%20of%20Tooth%20Wear%20on%20Bovid%20Identification&body=https://ssl.cs.luc.edu/publication/brophy-analysis-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/brophy-analysis-2019/&title=An%20Analysis%20of%20the%20Effect%20of%20Tooth%20Wear%20on%20Bovid%20Identification" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=An%20Analysis%20of%20the%20Effect%20of%20Tooth%20Wear%20on%20Bovid%20Identification%20https://ssl.cs.luc.edu/publication/brophy-analysis-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/brophy-analysis-2019/&title=An%20Analysis%20of%20the%20Effect%20of%20Tooth%20Wear%20on%20Bovid%20Identification" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Collaborative Research: Making Software Engineering Work for Computational Science & Engineering: An Integrated Approach</h1><div class=article-metadata><div><span><a href=/author/jeffrey-c.-carver/>Jeffrey C. Carver</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2016</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/carver-collaborative-2016/cite.bib>Cite</a></div></div><div class=article-container><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#4>Report</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/&text=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/&t=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach&body=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/&title=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach%20https://ssl.cs.luc.edu/publication/carver-collaborative-2016/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/&title=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Collaborative Research: Making Software Engineering Work for Computational Science & Engineering: An Integrated Approach</h1><div class=article-metadata><div><span><a href=/author/jeffrey-c.-carver/>Jeffrey C. Carver</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2016</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/carver-collaborative-2016/cite.bib>Cite</a></div></div><div class=article-container><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#4>Report</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/&amp;text=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/&amp;t=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach&amp;body=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/&amp;title=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach%20https://ssl.cs.luc.edu/publication/carver-collaborative-2016/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/carver-collaborative-2016/&amp;title=Collaborative%20Research:%20Making%20Software%20Engineering%20Work%20for%20Computational%20Science%20&amp;amp;%20Engineering:%20An%20Integrated%20Approach" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="\&#34;Progress in scientific research is dependent on the quality and accessibility of software at all levels\&#34; (the overall premise of the workshop). We argue that true progress depends on embracing the best traditional–and emergent– practices in software engineering, especially agile practices that intersect with the tradition of software engineering. Software engineering as practiced today is more than the stereotypical monolithic lifecycle processes (e.g. waterfall, spiral, etc.) that historically have impeded progress for small/medium sized development efforts. In addition, the discipline and practice of software engineering includes software quality (with an established tradition of software metrics). Software processes can be pragmatic and use best features/practices of various models without impeding developer productivity. The embracement of these practices may also be important to prevent a brain drain of sorts, as students are increasingly eschewing traditional scientific/computation science research in favor of industry opportunities, where they can literally apply what they have learned in software development courses where pragmatic software engineering practices (e.g. test-driven design, RESTful architecture, etc.) are already prevalent.\&#34;"><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/carver-software-2013/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/carver-software-2013/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/carver-software-2013/"><meta property="og:title" content="Software Engineering Need not be Difficult | Software and Systems Laboratory"><meta property="og:description" content="\&#34;Progress in scientific research is dependent on the quality and accessibility of software at all levels\&#34; (the overall premise of the workshop). We argue that true progress depends on embracing the best traditional–and emergent– practices in software engineering, especially agile practices that intersect with the tradition of software engineering. Software engineering as practiced today is more than the stereotypical monolithic lifecycle processes (e.g. waterfall, spiral, etc.) that historically have impeded progress for small/medium sized development efforts. In addition, the discipline and practice of software engineering includes software quality (with an established tradition of software metrics). Software processes can be pragmatic and use best features/practices of various models without impeding developer productivity. The embracement of these practices may also be important to prevent a brain drain of sorts, as students are increasingly eschewing traditional scientific/computation science research in favor of industry opportunities, where they can literally apply what they have learned in software development courses where pragmatic software engineering practices (e.g. test-driven design, RESTful architecture, etc.) are already prevalent.\&#34;"><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:35+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:35-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/carver-software-2013/"},"headline":"Software Engineering Need not be Difficult","datePublished":"2023-02-09T18:57:35Z","dateModified":"2023-02-09T12:57:35-06:00","author":{"@type":"Person","name":"Jeffrey C. Carver"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"\\\"Progress in scientific research is dependent on the quality and accessibility of software at all levels\\\" (the overall premise of the workshop). We argue that true progress depends on embracing the best traditional–and emergent– practices in software engineering, especially agile practices that intersect with the tradition of software engineering. Software engineering as practiced today is more than the stereotypical monolithic lifecycle processes (e.g. waterfall, spiral, etc.) that historically have impeded progress for small/medium sized development efforts. In addition, the discipline and practice of software engineering includes software quality (with an established tradition of software metrics). Software processes can be pragmatic and use best features/practices of various models without impeding developer productivity. The embracement of these practices may also be important to prevent a brain drain of sorts, as students are increasingly eschewing traditional scientific/computation science research in favor of industry opportunities, where they can literally apply what they have learned in software development courses where pragmatic software engineering practices (e.g. test-driven design, RESTful architecture, etc.) are already prevalent.\\\""}</script><title>Software Engineering Need not be Difficult | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=bed12b472ad741dec54681275e1856b3><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Software Engineering Need not be Difficult</h1><div class=article-metadata><div><span><a href=/author/jeffrey-c.-carver/>Jeffrey C. Carver</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2013</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/carver-software-2013/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/75 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>"Progress in scientific research is dependent on the quality and accessibility of software at all levels" (the overall premise of the workshop). We argue that true progress depends on embracing the best traditional–and emergent– practices in software engineering, especially agile practices that intersect with the tradition of software engineering. Software engineering as practiced today is more than the stereotypical monolithic lifecycle processes (e.g. waterfall, spiral, etc.) that historically have impeded progress for small/medium sized development efforts. In addition, the discipline and practice of software engineering includes software quality (with an established tradition of software metrics). Software processes can be pragmatic and use best features/practices of various models without impeding developer productivity. The embracement of these practices may also be important to prevent a brain drain of sorts, as students are increasingly eschewing traditional scientific/computation science research in favor of industry opportunities, where they can literally apply what they have learned in software development courses where pragmatic software engineering practices (e.g. test-driven design, RESTful architecture, etc.) are already prevalent."</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>WSSSPE 2013</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/carver-software-2013/&text=Software%20Engineering%20Need%20not%20be%20Difficult" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/carver-software-2013/&t=Software%20Engineering%20Need%20not%20be%20Difficult" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Software%20Engineering%20Need%20not%20be%20Difficult&body=https://ssl.cs.luc.edu/publication/carver-software-2013/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/carver-software-2013/&title=Software%20Engineering%20Need%20not%20be%20Difficult" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Software%20Engineering%20Need%20not%20be%20Difficult%20https://ssl.cs.luc.edu/publication/carver-software-2013/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/carver-software-2013/&title=Software%20Engineering%20Need%20not%20be%20Difficult" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/75 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>"Progress in scientific research is dependent on the quality and accessibility of software at all levels" (the overall premise of the workshop). We argue that true progress depends on embracing the best traditional–and emergent– practices in software engineering, especially agile practices that intersect with the tradition of software engineering. Software engineering as practiced today is more than the stereotypical monolithic lifecycle processes (e.g. waterfall, spiral, etc.) that historically have impeded progress for small/medium sized development efforts. In addition, the discipline and practice of software engineering includes software quality (with an established tradition of software metrics). Software processes can be pragmatic and use best features/practices of various models without impeding developer productivity. The embracement of these practices may also be important to prevent a brain drain of sorts, as students are increasingly eschewing traditional scientific/computation science research in favor of industry opportunities, where they can literally apply what they have learned in software development courses where pragmatic software engineering practices (e.g. test-driven design, RESTful architecture, etc.) are already prevalent."</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>WSSSPE 2013</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/carver-software-2013/&amp;text=Software%20Engineering%20Need%20not%20be%20Difficult" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/carver-software-2013/&amp;t=Software%20Engineering%20Need%20not%20be%20Difficult" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Software%20Engineering%20Need%20not%20be%20Difficult&amp;body=https://ssl.cs.luc.edu/publication/carver-software-2013/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/carver-software-2013/&amp;title=Software%20Engineering%20Need%20not%20be%20Difficult" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Software%20Engineering%20Need%20not%20be%20Difficult%20https://ssl.cs.luc.edu/publication/carver-software-2013/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/carver-software-2013/&amp;title=Software%20Engineering%20Need%20not%20be%20Difficult" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges."}</script><title>Software Engineering for Science | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=da2cbca130705cbe7ac6033d745a83b2><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The feature-based indexing technique provides an effective way for users to search video content through visual features, such as object categories (e.g., cars and persons). However, due to the reliance on offline processing, video streams along with their captured features cannot be searchable immediately after video streams are recorded. According to our investigation, buffering and storing live video steams are more time-consuming than the YOLO v3 object detector. Such observation motivates us to propose a real-time feature indexing (RTFI) system to enable instantaneous feature-based indexing on live video streams after video streams are captured and processed through object detectors. RTFI achieves its real-time goal via incorporating the novel design of metadata structure and data placement, the capability of modern object detector (i.e., YOLO v3), and the deduplication techniques to avoid storing repetitive video content. Notably, RTFI is the first system design for realizing real-time feature-based indexing on live video streams. RTFI is implemented on a Linux server and can improve the system throughput by upto 10.60x, compared with the base system without the proposed design. In addition, RTFI is able to make the video content searchable within 20 milliseconds for 10 live video streams after the video content is received by the proposed system, excluding the network transfer latency."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/"><meta property="og:title" content="A Real-Time Feature Indexing System on Live Video Streams | Software and Systems Laboratory"><meta property="og:description" content="Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The feature-based indexing technique provides an effective way for users to search video content through visual features, such as object categories (e.g., cars and persons). However, due to the reliance on offline processing, video streams along with their captured features cannot be searchable immediately after video streams are recorded. According to our investigation, buffering and storing live video steams are more time-consuming than the YOLO v3 object detector. Such observation motivates us to propose a real-time feature indexing (RTFI) system to enable instantaneous feature-based indexing on live video streams after video streams are captured and processed through object detectors. RTFI achieves its real-time goal via incorporating the novel design of metadata structure and data placement, the capability of modern object detector (i.e., YOLO v3), and the deduplication techniques to avoid storing repetitive video content. Notably, RTFI is the first system design for realizing real-time feature-based indexing on live video streams. RTFI is implemented on a Linux server and can improve the system throughput by upto 10.60x, compared with the base system without the proposed design. In addition, RTFI is able to make the video content searchable within 20 milliseconds for 10 live video streams after the video content is received by the proposed system, excluding the network transfer latency."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:31+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:31-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/"},"headline":"A Real-Time Feature Indexing System on Live Video Streams","datePublished":"2023-02-09T18:57:31Z","dateModified":"2023-02-09T12:57:31-06:00","author":{"@type":"Person","name":"Aditya Chakraborty"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The feature-based indexing technique provides an effective way for users to search video content through visual features, such as object categories (e.g., cars and persons). However, due to the reliance on offline processing, video streams along with their captured features cannot be searchable immediately after video streams are recorded. According to our investigation, buffering and storing live video steams are more time-consuming than the YOLO v3 object detector. Such observation motivates us to propose a real-time feature indexing (RTFI) system to enable instantaneous feature-based indexing on live video streams after video streams are captured and processed through object detectors. RTFI achieves its real-time goal via incorporating the novel design of metadata structure and data placement, the capability of modern object detector (i.e., YOLO v3), and the deduplication techniques to avoid storing repetitive video content. Notably, RTFI is the first system design for realizing real-time feature-based indexing on live video streams. RTFI is implemented on a Linux server and can improve the system throughput by upto 10.60x, compared with the base system without the proposed design. In addition, RTFI is able to make the video content searchable within 20 milliseconds for 10 live video streams after the video content is received by the proposed system, excluding the network transfer latency."}</script><title>A Real-Time Feature Indexing System on Live Video Streams | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=759d6718c3e28ff48dd0f40800f7cbdd><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>A Real-Time Feature Indexing System on Live Video Streams</h1><div class=article-metadata><div><span><a href=/author/aditya-chakraborty/>Aditya Chakraborty</a></span>, <span><a href=/author/akshay-pawar/>Akshay Pawar</a></span>, <span><a href=/author/hojoung-jang/>Hojoung Jang</a></span>, <span><a href=/author/shunqiao-huang/>Shunqiao Huang</a></span>, <span><a href=/author/sripath-mishra/>Sripath Mishra</a></span>, <span><a href=/author/chen-shuo-han/>Chen Shuo-Han</a></span>, <span><a href=/author/yan-hao-chang/>Yan-Hao Chang</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span></div><span class=article-date>July 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/chakraborty-real-time-2020/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/COMPSAC48688.2020.00016 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/249 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The feature-based indexing technique provides an effective way for users to search video content through visual features, such as object categories (e.g., cars and persons). However, due to the reliance on offline processing, video streams along with their captured features cannot be searchable immediately after video streams are recorded. According to our investigation, buffering and storing live video steams are more time-consuming than the YOLO v3 object detector. Such observation motivates us to propose a real-time feature indexing (RTFI) system to enable instantaneous feature-based indexing on live video streams after video streams are captured and processed through object detectors. RTFI achieves its real-time goal via incorporating the novel design of metadata structure and data placement, the capability of modern object detector (i.e., YOLO v3), and the deduplication techniques to avoid storing repetitive video content. Notably, RTFI is the first system design for realizing real-time feature-based indexing on live video streams. RTFI is implemented on a Linux server and can improve the system throughput by upto 10.60x, compared with the base system without the proposed design. In addition, RTFI is able to make the video content searchable within 20 milliseconds for 10 live video streams after the video content is received by the proposed system, excluding the network transfer latency.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/&text=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/&t=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams&body=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/&title=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams%20https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/&title=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/249 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The feature-based indexing technique provides an effective way for users to search video content through visual features, such as object categories (e.g., cars and persons). However, due to the reliance on offline processing, video streams along with their captured features cannot be searchable immediately after video streams are recorded. According to our investigation, buffering and storing live video steams are more time-consuming than the YOLO v3 object detector. Such observation motivates us to propose a real-time feature indexing (RTFI) system to enable instantaneous feature-based indexing on live video streams after video streams are captured and processed through object detectors. RTFI achieves its real-time goal via incorporating the novel design of metadata structure and data placement, the capability of modern object detector (i.e., YOLO v3), and the deduplication techniques to avoid storing repetitive video content. Notably, RTFI is the first system design for realizing real-time feature-based indexing on live video streams. RTFI is implemented on a Linux server and can improve the system throughput by upto 10.60x, compared with the base system without the proposed design. In addition, RTFI is able to make the video content searchable within 20 milliseconds for 10 live video streams after the video content is received by the proposed system, excluding the network transfer latency.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/&amp;text=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/&amp;t=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams&amp;body=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/&amp;title=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams%20https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/chakraborty-real-time-2020/&amp;title=A%20Real-Time%20Feature%20Indexing%20System%20on%20Live%20Video%20Streams" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks. Network cameras offer real-time visual data that can be used for studying traffic patterns, emergency response, security, and other applications. Although many sources of Network Camera data are available, collecting the data remains difficult due to variations in programming interface and website structures. Previous solutions rely on manually parsing the target website, taking many hours to complete. We create a general and automated solution for aggregating Network Camera data spread across thousands of uniquely structured webpages. We analyze heterogeneous webpage structures and identify common characteristics among 73 sample Network Camera websites (each website has multiple web pages). These characteristics are then used to build an automated camera discovery module that crawls and aggregates Network Camera data. Our system successfully extracts 57,364 Network Cameras from 237,257 unique web pages."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/dailey-automated-2021/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/dailey-automated-2021/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/dailey-automated-2021/"><meta property="og:title" content="Automated Discovery of Network Cameras inHeterogeneous Web Pages | Software and Systems Laboratory"><meta property="og:description" content="Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks. Network cameras offer real-time visual data that can be used for studying traffic patterns, emergency response, security, and other applications. Although many sources of Network Camera data are available, collecting the data remains difficult due to variations in programming interface and website structures. Previous solutions rely on manually parsing the target website, taking many hours to complete. We create a general and automated solution for aggregating Network Camera data spread across thousands of uniquely structured webpages. We analyze heterogeneous webpage structures and identify common characteristics among 73 sample Network Camera websites (each website has multiple web pages). These characteristics are then used to build an automated camera discovery module that crawls and aggregates Network Camera data. Our system successfully extracts 57,364 Network Cameras from 237,257 unique web pages."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:36+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:36-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/dailey-automated-2021/"},"headline":"Automated Discovery of Network Cameras inHeterogeneous Web Pages","datePublished":"2023-02-09T18:57:36Z","dateModified":"2023-02-09T12:57:36-06:00","author":{"@type":"Person","name":"Ryan Dailey"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks. Network cameras offer real-time visual data that can be used for studying traffic patterns, emergency response, security, and other applications. Although many sources of Network Camera data are available, collecting the data remains difficult due to variations in programming interface and website structures. Previous solutions rely on manually parsing the target website, taking many hours to complete. We create a general and automated solution for aggregating Network Camera data spread across thousands of uniquely structured webpages. We analyze heterogeneous webpage structures and identify common characteristics among 73 sample Network Camera websites (each website has multiple web pages). These characteristics are then used to build an automated camera discovery module that crawls and aggregates Network Camera data. Our system successfully extracts 57,364 Network Cameras from 237,257 unique web pages."}</script><title>Automated Discovery of Network Cameras inHeterogeneous Web Pages | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=fb39c476124cf72a45c4ac0aff33d7ba><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Automated Discovery of Network Cameras inHeterogeneous Web Pages</h1><div class=article-metadata><div><span><a href=/author/ryan-dailey/>Ryan Dailey</a></span>, <span><a href=/author/aniesh-chawla/>Aniesh Chawla</a></span>, <span><a href=/author/andrew-liu/>Andrew Liu</a></span>, <span><a href=/author/sripath-mishra/>Sripath Mishra</a></span>, <span><a href=/author/ling-zhang/>Ling Zhang</a></span>, <span><a href=/author/josh-majors/>Josh Majors</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2021</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/dailey-automated-2021/cite.bib>Cite</a>
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-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/TBD/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks. Network cameras offer real-time visual data that can be used for studying traffic patterns, emergency response, security, and other applications. Although many sources of Network Camera data are available, collecting the data remains difficult due to variations in programming interface and website structures. Previous solutions rely on manually parsing the target website, taking many hours to complete. We create a general and automated solution for aggregating Network Camera data spread across thousands of uniquely structured webpages. We analyze heterogeneous webpage structures and identify common characteristics among 73 sample Network Camera websites (each website has multiple web pages). These characteristics are then used to build an automated camera discovery module that crawls and aggregates Network Camera data. Our system successfully extracts 57,364 Network Cameras from 237,257 unique web pages.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/dailey-automated-2021/&text=Automated%20Discovery%20of%20Network%20Cameras%20inHeterogeneous%20Web%20Pages" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/dailey-automated-2021/&t=Automated%20Discovery%20of%20Network%20Cameras%20inHeterogeneous%20Web%20Pages" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Automated%20Discovery%20of%20Network%20Cameras%20inHeterogeneous%20Web%20Pages&body=https://ssl.cs.luc.edu/publication/dailey-automated-2021/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/dailey-automated-2021/&title=Automated%20Discovery%20of%20Network%20Cameras%20inHeterogeneous%20Web%20Pages" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Automated%20Discovery%20of%20Network%20Cameras%20inHeterogeneous%20Web%20Pages%20https://ssl.cs.luc.edu/publication/dailey-automated-2021/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/dailey-automated-2021/&title=Automated%20Discovery%20of%20Network%20Cameras%20inHeterogeneous%20Web%20Pages" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) RESPECT 2016</h1><div class=article-metadata><div><span><a href=/author/adrienne-decker/>Adrienne Decker</a></span>, <span><a href=/author/jamie-payton/>Jamie Payton</a></span>, <span><a href=/author/kurt-eiselt/>Kurt Eiselt</a></span>, <span><a href=/author/tiffany-barnes/>Tiffany Barnes</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2016</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/decker-research-2016/cite.bib>Cite</a></div></div><div class=article-container><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/decker-research-2016/&amp;text=Research%20on%20Equity%20and%20Sustained%20Participation%20in%20Engineering,%20Computing,%20and%20Technology%20%28RESPECT%29%20RESPECT%202016" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/decker-research-2016/&amp;t=Research%20on%20Equity%20and%20Sustained%20Participation%20in%20Engineering,%20Computing,%20and%20Technology%20%28RESPECT%29%20RESPECT%202016" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Research%20on%20Equity%20and%20Sustained%20Participation%20in%20Engineering,%20Computing,%20and%20Technology%20%28RESPECT%29%20RESPECT%202016&amp;body=https://ssl.cs.luc.edu/publication/decker-research-2016/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/decker-research-2016/&amp;title=Research%20on%20Equity%20and%20Sustained%20Participation%20in%20Engineering,%20Computing,%20and%20Technology%20%28RESPECT%29%20RESPECT%202016" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Research%20on%20Equity%20and%20Sustained%20Participation%20in%20Engineering,%20Computing,%20and%20Technology%20%28RESPECT%29%20RESPECT%202016%20https://ssl.cs.luc.edu/publication/decker-research-2016/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/decker-research-2016/&amp;title=Research%20on%20Equity%20and%20Sustained%20Participation%20in%20Engineering,%20Computing,%20and%20Technology%20%28RESPECT%29%20RESPECT%202016" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication/dematties-computational-2020/index.html b/publication/dematties-computational-2020/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational bases of this phenomenon, we argue that these theories could potentially benefit by including neurophysiological data concerning cortical dynamics constraints in brain tissue. In addition, some theories promote the integration of complex optimization methods in neural tissue. In this paper we attempt to fill these gaps introducing a computational model inspired in the dynamics of cortical tissue. In our modeling approach, proximal afferent dendrites produce stochastic cellular activations, while distal dendritic branches–on the other hand–contribute independently to somatic depolarization by means of dendritic spikes, and finally, prediction failures produce massive firing events preventing formation of sparse distributed representations. The model presented in this paper combines semantic and coarse-grained syntactic constraints for each word in a sentence context until grammatically related word function discrimination emerges spontaneously by the sole correlation of lexical information from different sources without applying complex optimization methods. By means of support vector machine techniques, we show that the sparse activation features returned by our approach are well suited—bootstrapping from the features returned by Word Embedding mechanisms—to accomplish grammatical function classification of individual words in a sentence. In this way we develop a biologically guided computational explanation for linguistically relevant unification processes in cortex which connects psycholinguistics to neurobiological accounts of language. We also claim that the computational hypotheses established in this research could foster future work on biologically-inspired learning algorithms for natural language processing applications."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/dematties-computational-2020/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/dematties-computational-2020/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/dematties-computational-2020/"><meta property="og:title" content="A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics | Software and Systems Laboratory"><meta property="og:description" content="A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational bases of this phenomenon, we argue that these theories could potentially benefit by including neurophysiological data concerning cortical dynamics constraints in brain tissue. In addition, some theories promote the integration of complex optimization methods in neural tissue. In this paper we attempt to fill these gaps introducing a computational model inspired in the dynamics of cortical tissue. In our modeling approach, proximal afferent dendrites produce stochastic cellular activations, while distal dendritic branches–on the other hand–contribute independently to somatic depolarization by means of dendritic spikes, and finally, prediction failures produce massive firing events preventing formation of sparse distributed representations. The model presented in this paper combines semantic and coarse-grained syntactic constraints for each word in a sentence context until grammatically related word function discrimination emerges spontaneously by the sole correlation of lexical information from different sources without applying complex optimization methods. By means of support vector machine techniques, we show that the sparse activation features returned by our approach are well suited—bootstrapping from the features returned by Word Embedding mechanisms—to accomplish grammatical function classification of individual words in a sentence. In this way we develop a biologically guided computational explanation for linguistically relevant unification processes in cortex which connects psycholinguistics to neurobiological accounts of language. We also claim that the computational hypotheses established in this research could foster future work on biologically-inspired learning algorithms for natural language processing applications."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:37+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:37-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/dematties-computational-2020/"},"headline":"A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics","datePublished":"2023-02-09T18:57:37Z","dateModified":"2023-02-09T12:57:37-06:00","author":{"@type":"Person","name":"Dario Dematties"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational bases of this phenomenon, we argue that these theories could potentially benefit by including neurophysiological data concerning cortical dynamics constraints in brain tissue. In addition, some theories promote the integration of complex optimization methods in neural tissue. In this paper we attempt to fill these gaps introducing a computational model inspired in the dynamics of cortical tissue. In our modeling approach, proximal afferent dendrites produce stochastic cellular activations, while distal dendritic branches–on the other hand–contribute independently to somatic depolarization by means of dendritic spikes, and finally, prediction failures produce massive firing events preventing formation of sparse distributed representations. The model presented in this paper combines semantic and coarse-grained syntactic constraints for each word in a sentence context until grammatically related word function discrimination emerges spontaneously by the sole correlation of lexical information from different sources without applying complex optimization methods. By means of support vector machine techniques, we show that the sparse activation features returned by our approach are well suited—bootstrapping from the features returned by Word Embedding mechanisms—to accomplish grammatical function classification of individual words in a sentence. In this way we develop a biologically guided computational explanation for linguistically relevant unification processes in cortex which connects psycholinguistics to neurobiological accounts of language. We also claim that the computational hypotheses established in this research could foster future work on biologically-inspired learning algorithms for natural language processing applications."}</script><title>A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=78f5f4ae94cabc6dbb3f78c2c5ef361c><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics</h1><div class=article-metadata><div><span><a href=/author/dario-dematties/>Dario Dematties</a></span>, <span><a href=/author/silvio-rizzi/>Silvio Rizzi</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/mauricio-david-perez/>Mauricio David Pérez</a></span>, <span><a href=/author/alejandro-wainselboim/>Alejandro Wainselboim</a></span>, <span><a href=/author/b.-silvano-zanutto/>B. Silvano Zanutto</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/dematties-computational-2020/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.3389/fncir.2020.00012 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://www.frontiersin.org/article/10.3389/fncir.2020.00012 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational bases of this phenomenon, we argue that these theories could potentially benefit by including neurophysiological data concerning cortical dynamics constraints in brain tissue. In addition, some theories promote the integration of complex optimization methods in neural tissue. In this paper we attempt to fill these gaps introducing a computational model inspired in the dynamics of cortical tissue. In our modeling approach, proximal afferent dendrites produce stochastic cellular activations, while distal dendritic branches–on the other hand–contribute independently to somatic depolarization by means of dendritic spikes, and finally, prediction failures produce massive firing events preventing formation of sparse distributed representations. The model presented in this paper combines semantic and coarse-grained syntactic constraints for each word in a sentence context until grammatically related word function discrimination emerges spontaneously by the sole correlation of lexical information from different sources without applying complex optimization methods. By means of support vector machine techniques, we show that the sparse activation features returned by our approach are well suited—bootstrapping from the features returned by Word Embedding mechanisms—to accomplish grammatical function classification of individual words in a sentence. In this way we develop a biologically guided computational explanation for linguistically relevant unification processes in cortex which connects psycholinguistics to neurobiological accounts of language. We also claim that the computational hypotheses established in this research could foster future work on biologically-inspired learning algorithms for natural language processing applications.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Frontiers in Neural Circuits</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/dematties-computational-2020/&text=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/dematties-computational-2020/&t=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics&body=https://ssl.cs.luc.edu/publication/dematties-computational-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/dematties-computational-2020/&title=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics%20https://ssl.cs.luc.edu/publication/dematties-computational-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/dematties-computational-2020/&title=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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+<a class="btn btn-outline-primary btn-page-header" href=https://www.frontiersin.org/article/10.3389/fncir.2020.00012 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational bases of this phenomenon, we argue that these theories could potentially benefit by including neurophysiological data concerning cortical dynamics constraints in brain tissue. In addition, some theories promote the integration of complex optimization methods in neural tissue. In this paper we attempt to fill these gaps introducing a computational model inspired in the dynamics of cortical tissue. In our modeling approach, proximal afferent dendrites produce stochastic cellular activations, while distal dendritic branches–on the other hand–contribute independently to somatic depolarization by means of dendritic spikes, and finally, prediction failures produce massive firing events preventing formation of sparse distributed representations. The model presented in this paper combines semantic and coarse-grained syntactic constraints for each word in a sentence context until grammatically related word function discrimination emerges spontaneously by the sole correlation of lexical information from different sources without applying complex optimization methods. By means of support vector machine techniques, we show that the sparse activation features returned by our approach are well suited—bootstrapping from the features returned by Word Embedding mechanisms—to accomplish grammatical function classification of individual words in a sentence. In this way we develop a biologically guided computational explanation for linguistically relevant unification processes in cortex which connects psycholinguistics to neurobiological accounts of language. We also claim that the computational hypotheses established in this research could foster future work on biologically-inspired learning algorithms for natural language processing applications.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Frontiers in Neural Circuits</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/dematties-computational-2020/&amp;text=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/dematties-computational-2020/&amp;t=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics&amp;body=https://ssl.cs.luc.edu/publication/dematties-computational-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/dematties-computational-2020/&amp;title=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics%20https://ssl.cs.luc.edu/publication/dematties-computational-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/dematties-computational-2020/&amp;title=A%20Computational%20Theory%20for%20the%20Emergence%20of%20Grammatical%20Categories%20in%20Cortical%20Dynamics" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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diff --git a/publication/dematties-phonetic-2019/index.html b/publication/dematties-phonetic-2019/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Many computational theories have been developed to improve artificial phonetic classification performance from linguistic auditory streams. However, less attention has been given to psycholinguistic data and neurophysiological features recently found in cortical tissue. We focus on a context in which basic linguistic units–such as phonemes–are extracted and robustly classified by humans and other animals from complex acoustic streams in speech data. We are especially motivated by the fact that 8-month-old human infants can accomplish segmentation of words from fluent audio streams based exclusively on the statistical relationships between neighboring speech sounds without any kind of supervision. In this paper, we introduce a biologically inspired and fully unsupervised neurocomputational approach that incorporates key neurophysiological and anatomical cortical properties, including columnar organization, spontaneous micro-columnar formation, adaptation to contextual activations and Sparse Distributed Representations (SDRs) produced by means of partial N-Methyl-D-aspartic acid (NMDA) depolarization. Its feature abstraction capabilities show promising phonetic invariance and generalization attributes. Our model improves the performance of a Support Vector Machine (SVM) classifier for monosyllabic, disyllabic and trisyllabic word classification tasks in the presence of environmental disturbances such as white noise, reverberation, and pitch and voice variations. Furthermore, our approach emphasizes potential self-organizing cortical principles achieving improvement without any kind of optimization guidance which could minimize hypothetical loss functions by means of–for example–backpropagation. Thus, our computational model outperforms multiresolution spectro-temporal auditory feature representations using only the statistical sequential structure immerse in the phonotactic rules of the input stream."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/"><meta property="og:title" content="Phonetic Acquisition in Cortical Dynamics, a Computational Approach | Software and Systems Laboratory"><meta property="og:description" content="Many computational theories have been developed to improve artificial phonetic classification performance from linguistic auditory streams. However, less attention has been given to psycholinguistic data and neurophysiological features recently found in cortical tissue. We focus on a context in which basic linguistic units–such as phonemes–are extracted and robustly classified by humans and other animals from complex acoustic streams in speech data. We are especially motivated by the fact that 8-month-old human infants can accomplish segmentation of words from fluent audio streams based exclusively on the statistical relationships between neighboring speech sounds without any kind of supervision. In this paper, we introduce a biologically inspired and fully unsupervised neurocomputational approach that incorporates key neurophysiological and anatomical cortical properties, including columnar organization, spontaneous micro-columnar formation, adaptation to contextual activations and Sparse Distributed Representations (SDRs) produced by means of partial N-Methyl-D-aspartic acid (NMDA) depolarization. Its feature abstraction capabilities show promising phonetic invariance and generalization attributes. Our model improves the performance of a Support Vector Machine (SVM) classifier for monosyllabic, disyllabic and trisyllabic word classification tasks in the presence of environmental disturbances such as white noise, reverberation, and pitch and voice variations. Furthermore, our approach emphasizes potential self-organizing cortical principles achieving improvement without any kind of optimization guidance which could minimize hypothetical loss functions by means of–for example–backpropagation. Thus, our computational model outperforms multiresolution spectro-temporal auditory feature representations using only the statistical sequential structure immerse in the phonotactic rules of the input stream."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:37+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:37-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/"},"headline":"Phonetic Acquisition in Cortical Dynamics, a Computational Approach","datePublished":"2023-02-09T18:57:37Z","dateModified":"2023-02-09T12:57:37-06:00","author":{"@type":"Person","name":"Dario Dematties"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Many computational theories have been developed to improve artificial phonetic classification performance from linguistic auditory streams. However, less attention has been given to psycholinguistic data and neurophysiological features recently found in cortical tissue. We focus on a context in which basic linguistic units–such as phonemes–are extracted and robustly classified by humans and other animals from complex acoustic streams in speech data. We are especially motivated by the fact that 8-month-old human infants can accomplish segmentation of words from fluent audio streams based exclusively on the statistical relationships between neighboring speech sounds without any kind of supervision. In this paper, we introduce a biologically inspired and fully unsupervised neurocomputational approach that incorporates key neurophysiological and anatomical cortical properties, including columnar organization, spontaneous micro-columnar formation, adaptation to contextual activations and Sparse Distributed Representations (SDRs) produced by means of partial N-Methyl-D-aspartic acid (NMDA) depolarization. Its feature abstraction capabilities show promising phonetic invariance and generalization attributes. Our model improves the performance of a Support Vector Machine (SVM) classifier for monosyllabic, disyllabic and trisyllabic word classification tasks in the presence of environmental disturbances such as white noise, reverberation, and pitch and voice variations. Furthermore, our approach emphasizes potential self-organizing cortical principles achieving improvement without any kind of optimization guidance which could minimize hypothetical loss functions by means of–for example–backpropagation. Thus, our computational model outperforms multiresolution spectro-temporal auditory feature representations using only the statistical sequential structure immerse in the phonotactic rules of the input stream."}</script><title>Phonetic Acquisition in Cortical Dynamics, a Computational Approach | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=c8cb24b6cb8b48704b64032dd8423123><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Phonetic Acquisition in Cortical Dynamics, a Computational Approach</h1><div class=article-metadata><div><span><a href=/author/dario-dematties/>Dario Dematties</a></span>, <span><a href=/author/silvio-b.-rizzi/>Silvio B. Rizzi</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/alejandro-wainselboim/>Alejandro Wainselboim</a></span>, <span><a href=/author/b.-silvano-zanutto/>B. Silvano Zanutto</a></span></div><span class=article-date>June 2019</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/dematties-phonetic-2019/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1371/journal.pone.0217966 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1371/journal.pone.0217966 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Many computational theories have been developed to improve artificial phonetic classification performance from linguistic auditory streams. However, less attention has been given to psycholinguistic data and neurophysiological features recently found in cortical tissue. We focus on a context in which basic linguistic units–such as phonemes–are extracted and robustly classified by humans and other animals from complex acoustic streams in speech data. We are especially motivated by the fact that 8-month-old human infants can accomplish segmentation of words from fluent audio streams based exclusively on the statistical relationships between neighboring speech sounds without any kind of supervision. In this paper, we introduce a biologically inspired and fully unsupervised neurocomputational approach that incorporates key neurophysiological and anatomical cortical properties, including columnar organization, spontaneous micro-columnar formation, adaptation to contextual activations and Sparse Distributed Representations (SDRs) produced by means of partial N-Methyl-D-aspartic acid (NMDA) depolarization. Its feature abstraction capabilities show promising phonetic invariance and generalization attributes. Our model improves the performance of a Support Vector Machine (SVM) classifier for monosyllabic, disyllabic and trisyllabic word classification tasks in the presence of environmental disturbances such as white noise, reverberation, and pitch and voice variations. Furthermore, our approach emphasizes potential self-organizing cortical principles achieving improvement without any kind of optimization guidance which could minimize hypothetical loss functions by means of–for example–backpropagation. Thus, our computational model outperforms multiresolution spectro-temporal auditory feature representations using only the statistical sequential structure immerse in the phonotactic rules of the input stream.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>PLOS ONE</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/&text=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/&t=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach&body=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/&title=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach%20https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/&title=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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+<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1371/journal.pone.0217966 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Many computational theories have been developed to improve artificial phonetic classification performance from linguistic auditory streams. However, less attention has been given to psycholinguistic data and neurophysiological features recently found in cortical tissue. We focus on a context in which basic linguistic units–such as phonemes–are extracted and robustly classified by humans and other animals from complex acoustic streams in speech data. We are especially motivated by the fact that 8-month-old human infants can accomplish segmentation of words from fluent audio streams based exclusively on the statistical relationships between neighboring speech sounds without any kind of supervision. In this paper, we introduce a biologically inspired and fully unsupervised neurocomputational approach that incorporates key neurophysiological and anatomical cortical properties, including columnar organization, spontaneous micro-columnar formation, adaptation to contextual activations and Sparse Distributed Representations (SDRs) produced by means of partial N-Methyl-D-aspartic acid (NMDA) depolarization. Its feature abstraction capabilities show promising phonetic invariance and generalization attributes. Our model improves the performance of a Support Vector Machine (SVM) classifier for monosyllabic, disyllabic and trisyllabic word classification tasks in the presence of environmental disturbances such as white noise, reverberation, and pitch and voice variations. Furthermore, our approach emphasizes potential self-organizing cortical principles achieving improvement without any kind of optimization guidance which could minimize hypothetical loss functions by means of–for example–backpropagation. Thus, our computational model outperforms multiresolution spectro-temporal auditory feature representations using only the statistical sequential structure immerse in the phonotactic rules of the input stream.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>PLOS ONE</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/&amp;text=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/&amp;t=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach&amp;body=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/&amp;title=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach%20https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/dematties-phonetic-2019/&amp;title=Phonetic%20Acquisition%20in%20Cortical%20Dynamics,%20a%20Computational%20Approach" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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Part 3 describes our efforts with software engineering and reproducibilty with a discussion of best practices for working with open source and hosting code, datasets, and analyses."}</script><title>Towards High-End Scalability on Bio-Inspired Computational Models | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=636958adab92736c4df886599217be38><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Towards High-End Scalability on Bio-Inspired Computational Models</h1><div class=article-metadata><div><span><a href=/author/dario-dematties/>Dario Dematties</a></span>, <span><a href=/author/silvio-b.-rizzi/>Silvio B. Rizzi</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>August 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/dematties-towards-2020-1/cite.bib>Cite</a>
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-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/253/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Presentation at CyberColombia&rsquo;s Third HPC Summer School: Bio and Data Science Part 1 describes our work on developing a neurocomputational model inspired in specific features found in the mammalian cortex. Part 2 describes our software development efforts to build an HPC version of our work aimed at scalability on leadership class supercomputers, including a discussion of our strong and weak scaling results to date. Part 3 describes our efforts with software engineering and reproducibilty with a discussion of best practices for working with open source and hosting code, datasets, and analyses.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/dematties-towards-2020-1/&text=Towards%20High-End%20Scalability%20on%20Bio-Inspired%20Computational%20Models" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/dematties-towards-2020-1/&t=Towards%20High-End%20Scalability%20on%20Bio-Inspired%20Computational%20Models" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Towards%20High-End%20Scalability%20on%20Bio-Inspired%20Computational%20Models&body=https://ssl.cs.luc.edu/publication/dematties-towards-2020-1/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/dematties-towards-2020-1/&title=Towards%20High-End%20Scalability%20on%20Bio-Inspired%20Computational%20Models" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Towards%20High-End%20Scalability%20on%20Bio-Inspired%20Computational%20Models%20https://ssl.cs.luc.edu/publication/dematties-towards-2020-1/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/dematties-towards-2020-1/&title=Towards%20High-End%20Scalability%20on%20Bio-Inspired%20Computational%20Models" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="The interdisciplinary field of neuroscience has made significantprogress in recent decades, providing the scientific community in gen-eral with a new level of understanding on how the brain works beyondthe store-and-fire model found in traditional neural networks. Mean-while, Machine Learning (ML) based on established models has seena surge of interest in the High Performance Computing (HPC) com-munity, especially through the use of high-end accelerators, such asGraphical Processing Units (GPUs), including HPC clusters of same.In our work, we are motivated to exploit these high-performance com-puting developments and understand the scaling challenges for new–biologically inspired–learning models on leadership-class HPC resources.These emerging models feature sparse and random connectivity pro-files that map to more loosely-coupled parallel architectures with alarge number of CPU cores per node. Contrasted with traditional MLcodes, these methods exploit loosely-coupled sparse data structures asopposed to tightly-coupled dense matrix computations, which benefitfrom SIMD-style parallelism found on GPUs. In this paper we introducea hybrid Message Passing Interface (MPI) and Open Multi-Processing(OpenMP) parallelization scheme to accelerate and scale our computa-tional model based on the dynamics of cortical tissue. We ran compu-tational tests on a leadership class visualization and analysis cluster atArgonne National Laboratory. We include a study of strong and weakscaling, where we obtained parallel efficiency measures with a minimumabove 87% and a maximum above 97% for simulations of our biologicallyinspired neural network on up to 64 computing nodes running 8 threadseach. This study shows promise of the MPI+OpenMP hybrid approachto support flexible and biologically-inspired computational experimen-tal scenarios. 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Mean-while, Machine Learning (ML) based on established models has seena surge of interest in the High Performance Computing (HPC) com-munity, especially through the use of high-end accelerators, such asGraphical Processing Units (GPUs), including HPC clusters of same.In our work, we are motivated to exploit these high-performance com-puting developments and understand the scaling challenges for new–biologically inspired–learning models on leadership-class HPC resources.These emerging models feature sparse and random connectivity pro-files that map to more loosely-coupled parallel architectures with alarge number of CPU cores per node. Contrasted with traditional MLcodes, these methods exploit loosely-coupled sparse data structures asopposed to tightly-coupled dense matrix computations, which benefitfrom SIMD-style parallelism found on GPUs. In this paper we introducea hybrid Message Passing Interface (MPI) and Open Multi-Processing(OpenMP) parallelization scheme to accelerate and scale our computa-tional model based on the dynamics of cortical tissue. We ran compu-tational tests on a leadership class visualization and analysis cluster atArgonne National Laboratory. We include a study of strong and weakscaling, where we obtained parallel efficiency measures with a minimumabove 87% and a maximum above 97% for simulations of our biologicallyinspired neural network on up to 64 computing nodes running 8 threadseach. This study shows promise of the MPI+OpenMP hybrid approachto support flexible and biologically-inspired computational experimen-tal scenarios. 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In this paper we introducea hybrid Message Passing Interface (MPI) and Open Multi-Processing(OpenMP) parallelization scheme to accelerate and scale our computa-tional model based on the dynamics of cortical tissue. We ran compu-tational tests on a leadership class visualization and analysis cluster atArgonne National Laboratory. We include a study of strong and weakscaling, where we obtained parallel efficiency measures with a minimumabove 87% and a maximum above 97% for simulations of our biologicallyinspired neural network on up to 64 computing nodes running 8 threadseach. This study shows promise of the MPI+OpenMP hybrid approachto support flexible and biologically-inspired computational experimen-tal scenarios. In addition, we present the viability in the application ofthese strategies in high-end leadership computers in the future."}</script><title>Towards High-End Scalability on Biologically-Inspired Computational ModelsAuthors | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=632146fce32ebdb2f4c5557d5bb4c508><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Towards High-End Scalability on Biologically-Inspired Computational ModelsAuthors</h1><div class=article-metadata><div><span><a href=/author/dario-dematties/>Dario Dematties</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/silvio-b.-rizzi/>Silvio B. Rizzi</a></span>, <span><a href=/author/alejandro-wainselboim/>Alejandro Wainselboim</a></span>, <span><a href=/author/b.-silvano-zanutto/>B. Silvano Zanutto</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/dematties-towards-2020/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/242/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>The interdisciplinary field of neuroscience has made significantprogress in recent decades, providing the scientific community in gen-eral with a new level of understanding on how the brain works beyondthe store-and-fire model found in traditional neural networks. Mean-while, Machine Learning (ML) based on established models has seena surge of interest in the High Performance Computing (HPC) com-munity, especially through the use of high-end accelerators, such asGraphical Processing Units (GPUs), including HPC clusters of same.In our work, we are motivated to exploit these high-performance com-puting developments and understand the scaling challenges for new–biologically inspired–learning models on leadership-class HPC resources.These emerging models feature sparse and random connectivity pro-files that map to more loosely-coupled parallel architectures with alarge number of CPU cores per node. Contrasted with traditional MLcodes, these methods exploit loosely-coupled sparse data structures asopposed to tightly-coupled dense matrix computations, which benefitfrom SIMD-style parallelism found on GPUs. In this paper we introducea hybrid Message Passing Interface (MPI) and Open Multi-Processing(OpenMP) parallelization scheme to accelerate and scale our computa-tional model based on the dynamics of cortical tissue. We ran compu-tational tests on a leadership class visualization and analysis cluster atArgonne National Laboratory. We include a study of strong and weakscaling, where we obtained parallel efficiency measures with a minimumabove 87% and a maximum above 97% for simulations of our biologicallyinspired neural network on up to 64 computing nodes running 8 threadseach. This study shows promise of the MPI+OpenMP hybrid approachto support flexible and biologically-inspired computational experimen-tal scenarios. In addition, we present the viability in the application ofthese strategies in high-end leadership computers in the future.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Parallel Computing: Technology Trends</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/dematties-towards-2020/&text=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/dematties-towards-2020/&t=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors&body=https://ssl.cs.luc.edu/publication/dematties-towards-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/dematties-towards-2020/&title=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors%20https://ssl.cs.luc.edu/publication/dematties-towards-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/dematties-towards-2020/&title=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/242/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>The interdisciplinary field of neuroscience has made significantprogress in recent decades, providing the scientific community in gen-eral with a new level of understanding on how the brain works beyondthe store-and-fire model found in traditional neural networks. Mean-while, Machine Learning (ML) based on established models has seena surge of interest in the High Performance Computing (HPC) com-munity, especially through the use of high-end accelerators, such asGraphical Processing Units (GPUs), including HPC clusters of same.In our work, we are motivated to exploit these high-performance com-puting developments and understand the scaling challenges for new–biologically inspired–learning models on leadership-class HPC resources.These emerging models feature sparse and random connectivity pro-files that map to more loosely-coupled parallel architectures with alarge number of CPU cores per node. Contrasted with traditional MLcodes, these methods exploit loosely-coupled sparse data structures asopposed to tightly-coupled dense matrix computations, which benefitfrom SIMD-style parallelism found on GPUs. In this paper we introducea hybrid Message Passing Interface (MPI) and Open Multi-Processing(OpenMP) parallelization scheme to accelerate and scale our computa-tional model based on the dynamics of cortical tissue. We ran compu-tational tests on a leadership class visualization and analysis cluster atArgonne National Laboratory. We include a study of strong and weakscaling, where we obtained parallel efficiency measures with a minimumabove 87% and a maximum above 97% for simulations of our biologicallyinspired neural network on up to 64 computing nodes running 8 threadseach. This study shows promise of the MPI+OpenMP hybrid approachto support flexible and biologically-inspired computational experimen-tal scenarios. In addition, we present the viability in the application ofthese strategies in high-end leadership computers in the future.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Parallel Computing: Technology Trends</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/dematties-towards-2020/&amp;text=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/dematties-towards-2020/&amp;t=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors&amp;body=https://ssl.cs.luc.edu/publication/dematties-towards-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/dematties-towards-2020/&amp;title=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors%20https://ssl.cs.luc.edu/publication/dematties-towards-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/dematties-towards-2020/&amp;title=Towards%20High-End%20Scalability%20on%20Biologically-Inspired%20Computational%20ModelsAuthors" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/dennis-computer-2017/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/dennis-computer-2017/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/dennis-computer-2017/"><meta property="og:title" content="Computer Science and Cultural History: A Dialogue | Software and Systems Laboratory"><meta property="og:description" content><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:34+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:34-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/dennis-computer-2017/"},"headline":"Computer Science and Cultural History: A Dialogue","datePublished":"2023-02-09T18:57:34Z","dateModified":"2023-02-09T12:57:34-06:00","author":{"@type":"Person","name":"David B. Dennis"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":""}</script><title>Computer Science and Cultural History: A Dialogue | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=e7d67780359874df6708de9ce9b4e5b7><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Computer Science and Cultural History: A Dialogue</h1><div class=article-metadata><div><span><a href=/author/david-b.-dennis/>David B. Dennis</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2017</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/dennis-computer-2017/cite.bib>Cite</a>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Building Capable, Energy-Efficient, Flexible Visualization and Sensing Clusters from Commodity Tablets</h1><div class=article-metadata><div><span><a href=/author/thomas-delgado-dias/>Thomas Delgado Dias</a></span>, <span><a href=/author/xian-yan/>Xian Yan</a></span>, <span><a href=/author/konstantin-laufer/>Konstantin Läufer</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2013</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/dias-building-2013/cite.bib>Cite</a>
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diff --git a/publication/eisty-survey-2018/index.html b/publication/eisty-survey-2018/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Background: Breakthroughs in research increasingly depend on complex software libraries, tools, and applications aimed at supporting specific science, engineering, business, or humanities disciplines. The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics relevant to research software corresponds to the metrics commonly used in traditional software engineering. Method: We surveyed research software developers to gather information about their knowledge and use of code metrics and software process metrics. We also analyzed the influence of demographics (project size, development role, and development stage) on these metrics. Results: The survey results, from 129 respondents, indicate that respondents have a general knowledge of metrics. However, their knowledge of specific SE metrics is lacking, their use even more limited. The most used metrics relate to performance and testing. Even though code complexity often poses a significant challenge to research software development, respondents did not indicate much use of code metrics. Conclusions: Research software developers appear to be interested and see some value in software metrics but may be encountering roadblocks when trying to use them. 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The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics relevant to research software corresponds to the metrics commonly used in traditional software engineering. Method: We surveyed research software developers to gather information about their knowledge and use of code metrics and software process metrics. We also analyzed the influence of demographics (project size, development role, and development stage) on these metrics. Results: The survey results, from 129 respondents, indicate that respondents have a general knowledge of metrics. However, their knowledge of specific SE metrics is lacking, their use even more limited. The most used metrics relate to performance and testing. Even though code complexity often poses a significant challenge to research software development, respondents did not indicate much use of code metrics. Conclusions: Research software developers appear to be interested and see some value in software metrics but may be encountering roadblocks when trying to use them. Further study is needed to determine the extent to which these metrics could provide value in continuous process improvement."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:33+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:33-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/eisty-survey-2018/"},"headline":"A Survey of Software Metric Use in Research Software Development","datePublished":"2023-02-09T18:57:33Z","dateModified":"2023-02-09T12:57:33-06:00","author":{"@type":"Person","name":"Nasir U. Eisty"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Background: Breakthroughs in research increasingly depend on complex software libraries, tools, and applications aimed at supporting specific science, engineering, business, or humanities disciplines. The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics relevant to research software corresponds to the metrics commonly used in traditional software engineering. Method: We surveyed research software developers to gather information about their knowledge and use of code metrics and software process metrics. We also analyzed the influence of demographics (project size, development role, and development stage) on these metrics. Results: The survey results, from 129 respondents, indicate that respondents have a general knowledge of metrics. However, their knowledge of specific SE metrics is lacking, their use even more limited. The most used metrics relate to performance and testing. Even though code complexity often poses a significant challenge to research software development, respondents did not indicate much use of code metrics. Conclusions: Research software developers appear to be interested and see some value in software metrics but may be encountering roadblocks when trying to use them. Further study is needed to determine the extent to which these metrics could provide value in continuous process improvement."}</script><title>A Survey of Software Metric Use in Research Software Development | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=82236d142aea627c15580c770b343253><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>A Survey of Software Metric Use in Research Software Development</h1><div class=article-metadata><div><span><a href=/author/nasir-u.-eisty/>Nasir U. Eisty</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/jeffrey-c.-carver/>Jeffrey C. Carver</a></span></div><span class=article-date>October 2018</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/eisty-survey-2018/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/eScience.2018.00036 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/206/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Background: Breakthroughs in research increasingly depend on complex software libraries, tools, and applications aimed at supporting specific science, engineering, business, or humanities disciplines. The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics relevant to research software corresponds to the metrics commonly used in traditional software engineering. Method: We surveyed research software developers to gather information about their knowledge and use of code metrics and software process metrics. We also analyzed the influence of demographics (project size, development role, and development stage) on these metrics. Results: The survey results, from 129 respondents, indicate that respondents have a general knowledge of metrics. However, their knowledge of specific SE metrics is lacking, their use even more limited. The most used metrics relate to performance and testing. Even though code complexity often poses a significant challenge to research software development, respondents did not indicate much use of code metrics. Conclusions: Research software developers appear to be interested and see some value in software metrics but may be encountering roadblocks when trying to use them. Further study is needed to determine the extent to which these metrics could provide value in continuous process improvement.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2018 IEEE 14th International Conference on e-Science (e-Science)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/eisty-survey-2018/&text=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/eisty-survey-2018/&t=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development&body=https://ssl.cs.luc.edu/publication/eisty-survey-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/eisty-survey-2018/&title=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development%20https://ssl.cs.luc.edu/publication/eisty-survey-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/eisty-survey-2018/&title=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/206/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Background: Breakthroughs in research increasingly depend on complex software libraries, tools, and applications aimed at supporting specific science, engineering, business, or humanities disciplines. The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics relevant to research software corresponds to the metrics commonly used in traditional software engineering. Method: We surveyed research software developers to gather information about their knowledge and use of code metrics and software process metrics. We also analyzed the influence of demographics (project size, development role, and development stage) on these metrics. Results: The survey results, from 129 respondents, indicate that respondents have a general knowledge of metrics. However, their knowledge of specific SE metrics is lacking, their use even more limited. The most used metrics relate to performance and testing. Even though code complexity often poses a significant challenge to research software development, respondents did not indicate much use of code metrics. Conclusions: Research software developers appear to be interested and see some value in software metrics but may be encountering roadblocks when trying to use them. Further study is needed to determine the extent to which these metrics could provide value in continuous process improvement.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2018 IEEE 14th International Conference on e-Science (e-Science)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/eisty-survey-2018/&amp;text=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/eisty-survey-2018/&amp;t=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development&amp;body=https://ssl.cs.luc.edu/publication/eisty-survey-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/eisty-survey-2018/&amp;title=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development%20https://ssl.cs.luc.edu/publication/eisty-survey-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/eisty-survey-2018/&amp;title=A%20Survey%20of%20Software%20Metric%20Use%20in%20Research%20Software%20Development" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Background: Developers face challenges in building high-quality research software due to its inherent complexity. These challenges can reduce the confidence users have in the quality of the result produced by the software. Use of a defined software development process, which divides the development into distinct phases, results in improved design, more trustworthy results, and better project management. Aims: This paper focuses on gaining a better understanding of the use of software development process for research software. Method: We surveyed research software developers to collect information about their use of software development processes. We analyze whether and demographic factors influence the respondents' use of and perceived value in defined process. Results: Based on 98 responses, research software developers appear to follow a defined software development process at least some of the time. The respondents also have a strong positive perception about the value of following processes. Conclusions: To produce high-quality and reliable research software, which is critical for many research domains, research software developers must follow a proper software development process. The results indicate a positive perception of value about using defined development processes that should lead to both short-term benefits through improved results and long-term benefits through more maintainable software."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/eisty-use-2019/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/eisty-use-2019/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/eisty-use-2019/"><meta property="og:title" content="Use of Software Process in Research Software Development: A Survey | Software and Systems Laboratory"><meta property="og:description" content="Background: Developers face challenges in building high-quality research software due to its inherent complexity. These challenges can reduce the confidence users have in the quality of the result produced by the software. Use of a defined software development process, which divides the development into distinct phases, results in improved design, more trustworthy results, and better project management. Aims: This paper focuses on gaining a better understanding of the use of software development process for research software. Method: We surveyed research software developers to collect information about their use of software development processes. We analyze whether and demographic factors influence the respondents' use of and perceived value in defined process. Results: Based on 98 responses, research software developers appear to follow a defined software development process at least some of the time. The respondents also have a strong positive perception about the value of following processes. Conclusions: To produce high-quality and reliable research software, which is critical for many research domains, research software developers must follow a proper software development process. The results indicate a positive perception of value about using defined development processes that should lead to both short-term benefits through improved results and long-term benefits through more maintainable software."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:32+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:32-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/eisty-use-2019/"},"headline":"Use of Software Process in Research Software Development: A Survey","datePublished":"2023-02-09T18:57:32Z","dateModified":"2023-02-09T12:57:32-06:00","author":{"@type":"Person","name":"Nasir U. Eisty"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Background: Developers face challenges in building high-quality research software due to its inherent complexity. These challenges can reduce the confidence users have in the quality of the result produced by the software. Use of a defined software development process, which divides the development into distinct phases, results in improved design, more trustworthy results, and better project management. Aims: This paper focuses on gaining a better understanding of the use of software development process for research software. Method: We surveyed research software developers to collect information about their use of software development processes. We analyze whether and demographic factors influence the respondents' use of and perceived value in defined process. Results: Based on 98 responses, research software developers appear to follow a defined software development process at least some of the time. The respondents also have a strong positive perception about the value of following processes. Conclusions: To produce high-quality and reliable research software, which is critical for many research domains, research software developers must follow a proper software development process. The results indicate a positive perception of value about using defined development processes that should lead to both short-term benefits through improved results and long-term benefits through more maintainable software."}</script><title>Use of Software Process in Research Software Development: A Survey | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=a4c2192f3fb97a8241d8760f1d4ad59b><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Use of Software Process in Research Software Development: A Survey</h1><div class=article-metadata><div><span><a href=/author/nasir-u.-eisty/>Nasir U. Eisty</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/jeffrey-c.-carver/>Jeffrey C. Carver</a></span></div><span class=article-date>January 2019</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/eisty-use-2019/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3319008.3319351 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/214 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Background: Developers face challenges in building high-quality research software due to its inherent complexity. These challenges can reduce the confidence users have in the quality of the result produced by the software. Use of a defined software development process, which divides the development into distinct phases, results in improved design, more trustworthy results, and better project management. Aims: This paper focuses on gaining a better understanding of the use of software development process for research software. Method: We surveyed research software developers to collect information about their use of software development processes. We analyze whether and demographic factors influence the respondents&rsquo; use of and perceived value in defined process. Results: Based on 98 responses, research software developers appear to follow a defined software development process at least some of the time. The respondents also have a strong positive perception about the value of following processes. Conclusions: To produce high-quality and reliable research software, which is critical for many research domains, research software developers must follow a proper software development process. The results indicate a positive perception of value about using defined development processes that should lead to both short-term benefits through improved results and long-term benefits through more maintainable software.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the Evaluation and Assessment on Software Engineering (EASE) 2019</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/eisty-use-2019/&text=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/eisty-use-2019/&t=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey&body=https://ssl.cs.luc.edu/publication/eisty-use-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/eisty-use-2019/&title=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey%20https://ssl.cs.luc.edu/publication/eisty-use-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/eisty-use-2019/&title=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/214 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Background: Developers face challenges in building high-quality research software due to its inherent complexity. These challenges can reduce the confidence users have in the quality of the result produced by the software. Use of a defined software development process, which divides the development into distinct phases, results in improved design, more trustworthy results, and better project management. Aims: This paper focuses on gaining a better understanding of the use of software development process for research software. Method: We surveyed research software developers to collect information about their use of software development processes. We analyze whether and demographic factors influence the respondents&rsquo; use of and perceived value in defined process. Results: Based on 98 responses, research software developers appear to follow a defined software development process at least some of the time. The respondents also have a strong positive perception about the value of following processes. Conclusions: To produce high-quality and reliable research software, which is critical for many research domains, research software developers must follow a proper software development process. The results indicate a positive perception of value about using defined development processes that should lead to both short-term benefits through improved results and long-term benefits through more maintainable software.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the Evaluation and Assessment on Software Engineering (EASE) 2019</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/eisty-use-2019/&amp;text=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/eisty-use-2019/&amp;t=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey&amp;body=https://ssl.cs.luc.edu/publication/eisty-use-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/eisty-use-2019/&amp;title=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey%20https://ssl.cs.luc.edu/publication/eisty-use-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/eisty-use-2019/&amp;title=Use%20of%20Software%20Process%20in%20Research%20Software%20Development:%20A%20Survey" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Among all factors that contribute to this development, datasets with labels play crucial roles. Several datasets are widely reused for investigating and analyzing different solutions in machine learning. Many systems, such as autonomous vehicles, rely on components using machine learning for recognizing objects. This paper compares different visual datasets and frameworks for machine learning. The comparison is both qualitative and quantitative and investigates object detection labels with respect to size, location, and contextual information. This paper also presents a new approach creating datasets using real-time, geo-tagged visual data, greatly improving the contextual information of the data. The data could be automatically labeled by cross-referencing information from other sources (such as weather)."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:34+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:34-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/gauen-comparison-2017/"},"headline":"Comparison of Visual Datasets for Machine Learning","datePublished":"2023-02-09T18:57:34Z","dateModified":"2023-02-09T12:57:34-06:00","author":{"@type":"Person","name":"Kent Gauen"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"One of the greatest technological improvements in recent years is the rapid progress using machine learning for processing visual data. Among all factors that contribute to this development, datasets with labels play crucial roles. Several datasets are widely reused for investigating and analyzing different solutions in machine learning. Many systems, such as autonomous vehicles, rely on components using machine learning for recognizing objects. This paper compares different visual datasets and frameworks for machine learning. The comparison is both qualitative and quantitative and investigates object detection labels with respect to size, location, and contextual information. This paper also presents a new approach creating datasets using real-time, geo-tagged visual data, greatly improving the contextual information of the data. The data could be automatically labeled by cross-referencing information from other sources (such as weather)."}</script><title>Comparison of Visual Datasets for Machine Learning | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=58a3ca3ecb4f58130a702c9d4cb95eae><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Comparison of Visual Datasets for Machine Learning</h1><div class=article-metadata><div><span><a href=/author/kent-gauen/>Kent Gauen</a></span>, <span><a href=/author/ryan-dailey/>Ryan Dailey</a></span>, <span><a href=/author/john-laiman/>John Laiman</a></span>, <span><a href=/author/yuxiang-zi/>Yuxiang Zi</a></span>, <span><a href=/author/nirmal-asokan/>Nirmal Asokan</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/mei-ling-shyu/>Mei-Ling Shyu</a></span>, <span><a href=/author/shu-ching-chen/>Shu-Ching Chen</a></span></div><span class=article-date>January 2017</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/gauen-comparison-2017/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/148/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>One of the greatest technological improvements in recent years is the rapid progress using machine learning for processing visual data. Among all factors that contribute to this development, datasets with labels play crucial roles. Several datasets are widely reused for investigating and analyzing different solutions in machine learning. Many systems, such as autonomous vehicles, rely on components using machine learning for recognizing objects. This paper compares different visual datasets and frameworks for machine learning. The comparison is both qualitative and quantitative and investigates object detection labels with respect to size, location, and contextual information. This paper also presents a new approach creating datasets using real-time, geo-tagged visual data, greatly improving the contextual information of the data. The data could be automatically labeled by cross-referencing information from other sources (such as weather).</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE Conference on Information Reuse and Integration 2017</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/&text=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/&t=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning&body=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/&title=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning%20https://ssl.cs.luc.edu/publication/gauen-comparison-2017/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/&title=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/148/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>One of the greatest technological improvements in recent years is the rapid progress using machine learning for processing visual data. Among all factors that contribute to this development, datasets with labels play crucial roles. Several datasets are widely reused for investigating and analyzing different solutions in machine learning. Many systems, such as autonomous vehicles, rely on components using machine learning for recognizing objects. This paper compares different visual datasets and frameworks for machine learning. The comparison is both qualitative and quantitative and investigates object detection labels with respect to size, location, and contextual information. This paper also presents a new approach creating datasets using real-time, geo-tagged visual data, greatly improving the contextual information of the data. The data could be automatically labeled by cross-referencing information from other sources (such as weather).</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE Conference on Information Reuse and Integration 2017</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/&amp;text=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/&amp;t=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning&amp;body=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/&amp;title=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning%20https://ssl.cs.luc.edu/publication/gauen-comparison-2017/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/gauen-comparison-2017/&amp;title=Comparison%20of%20Visual%20Datasets%20for%20Machine%20Learning" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication/ghodgaonkar-observing-2020/index.html b/publication/ghodgaonkar-observing-2020/index.html
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Thus, network cameras can be utilized to observe activities without risking the lives of reporters. This paper describes a project that uses network cameras to observe responses to governments' policies during the COVID-19 pandemic (March to April in 2020). The project discovers over 30,000 network cameras deployed in 110 countries. A set of computer tools are created to collect visual data from network cameras continuously during the pandemic. This paper describes the methods to discover network cameras on the Internet, the methods to collect and manage data, and preliminary results of data analysis. This project can be the foundation for observing the possible \&#34;second wave\&#34; in fall 2020. The data may be used for post-pandemic analysis by sociologists, public health experts, and meteorologists."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/"><meta property="og:title" content="Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras | Software and Systems Laboratory"><meta property="og:description" content="COVID-19 has resulted in a worldwide pandemic, leading to \&#34;lockdown\&#34; policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observing these historical events are difficult because sending reporters to areas with many infected people can put the reporters' lives in danger. New technologies are needed for safely observing responses to these policies. This paper reports using thousands of network cameras deployed worldwide for the purpose of witnessing activities in response to the policies. The network cameras can continuously provide real-time visual data (image and video) without human efforts. Thus, network cameras can be utilized to observe activities without risking the lives of reporters. This paper describes a project that uses network cameras to observe responses to governments' policies during the COVID-19 pandemic (March to April in 2020). The project discovers over 30,000 network cameras deployed in 110 countries. A set of computer tools are created to collect visual data from network cameras continuously during the pandemic. This paper describes the methods to discover network cameras on the Internet, the methods to collect and manage data, and preliminary results of data analysis. This project can be the foundation for observing the possible \&#34;second wave\&#34; in fall 2020. The data may be used for post-pandemic analysis by sociologists, public health experts, and meteorologists."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:49+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:49-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/"},"headline":"Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras","datePublished":"2023-02-09T18:57:49Z","dateModified":"2023-02-09T12:57:49-06:00","author":{"@type":"Person","name":"Isha Ghodgaonkar"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"COVID-19 has resulted in a worldwide pandemic, leading to \\\"lockdown\\\" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observing these historical events are difficult because sending reporters to areas with many infected people can put the reporters' lives in danger. New technologies are needed for safely observing responses to these policies. This paper reports using thousands of network cameras deployed worldwide for the purpose of witnessing activities in response to the policies. The network cameras can continuously provide real-time visual data (image and video) without human efforts. Thus, network cameras can be utilized to observe activities without risking the lives of reporters. This paper describes a project that uses network cameras to observe responses to governments' policies during the COVID-19 pandemic (March to April in 2020). The project discovers over 30,000 network cameras deployed in 110 countries. A set of computer tools are created to collect visual data from network cameras continuously during the pandemic. This paper describes the methods to discover network cameras on the Internet, the methods to collect and manage data, and preliminary results of data analysis. This project can be the foundation for observing the possible \\\"second wave\\\" in fall 2020. The data may be used for post-pandemic analysis by sociologists, public health experts, and meteorologists."}</script><title>Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=0cd417d67e494fdcf0aa2dc3a8170529><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras</h1><div class=article-metadata><div><span><a href=/author/isha-ghodgaonkar/>Isha Ghodgaonkar</a></span>, <span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/fischer-bordwell/>Fischer Bordwell</a></span>, <span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/sara-aghajanzadeh/>Sara Aghajanzadeh</a></span>, <span><a href=/author/noah-curran/>Noah Curran</a></span>, <span><a href=/author/ryan-chen/>Ryan Chen</a></span>, <span><a href=/author/kaiwen-yu/>Kaiwen Yu</a></span>, <span><a href=/author/sneha-mahapatra/>Sneha Mahapatra</a></span>, <span><a href=/author/vishnu-banna/>Vishnu Banna</a></span>, <span><a href=/author/gore-kao/>Gore Kao</a></span>, <span><a href=/author/kate-lee/>Kate Lee</a></span>, <span><a href=/author/xiao-hu/>Xiao Hu</a></span>, <span><a href=/author/nick-eliopolous/>Nick Eliopolous</a></span>, <span><a href=/author/akhil-chinnakotla/>Akhil Chinnakotla</a></span>, <span><a href=/author/damini-rijhwani/>Damini Rijhwani</a></span>, <span><a href=/author/ashley-kim/>Ashley Kim</a></span>, <span><a href=/author/aditya-chakraborty/>Aditya Chakraborty</a></span>, <span><a href=/author/mark-daniel-ward/>Mark Daniel Ward</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/ghodgaonkar-observing-2020/cite.bib>Cite</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observing these historical events are difficult because sending reporters to areas with many infected people can put the reporters&rsquo; lives in danger. New technologies are needed for safely observing responses to these policies. This paper reports using thousands of network cameras deployed worldwide for the purpose of witnessing activities in response to the policies. The network cameras can continuously provide real-time visual data (image and video) without human efforts. Thus, network cameras can be utilized to observe activities without risking the lives of reporters. This paper describes a project that uses network cameras to observe responses to governments&rsquo; policies during the COVID-19 pandemic (March to April in 2020). The project discovers over 30,000 network cameras deployed in 110 countries. A set of computer tools are created to collect visual data from network cameras continuously during the pandemic. This paper describes the methods to discover network cameras on the Internet, the methods to collect and manage data, and preliminary results of data analysis. This project can be the foundation for observing the possible "second wave" in fall 2020. The data may be used for post-pandemic analysis by sociologists, public health experts, and meteorologists.</p><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/&text=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/&t=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras&body=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/&title=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras%20https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/&title=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras</h1><div class=article-metadata><div><span><a href=/author/isha-ghodgaonkar/>Isha Ghodgaonkar</a></span>, <span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/fischer-bordwell/>Fischer Bordwell</a></span>, <span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/sara-aghajanzadeh/>Sara Aghajanzadeh</a></span>, <span><a href=/author/noah-curran/>Noah Curran</a></span>, <span><a href=/author/ryan-chen/>Ryan Chen</a></span>, <span><a href=/author/kaiwen-yu/>Kaiwen Yu</a></span>, <span><a href=/author/sneha-mahapatra/>Sneha Mahapatra</a></span>, <span><a href=/author/vishnu-banna/>Vishnu Banna</a></span>, <span><a href=/author/gore-kao/>Gore Kao</a></span>, <span><a href=/author/kate-lee/>Kate Lee</a></span>, <span><a href=/author/xiao-hu/>Xiao Hu</a></span>, <span><a href=/author/nick-eliopolous/>Nick Eliopolous</a></span>, <span><a href=/author/akhil-chinnakotla/>Akhil Chinnakotla</a></span>, <span><a href=/author/damini-rijhwani/>Damini Rijhwani</a></span>, <span><a href=/author/ashley-kim/>Ashley Kim</a></span>, <span><a href=/author/aditya-chakraborty/>Aditya Chakraborty</a></span>, <span><a href=/author/mark-daniel-ward/>Mark Daniel Ward</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/ghodgaonkar-observing-2020/cite.bib>Cite</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observing these historical events are difficult because sending reporters to areas with many infected people can put the reporters&rsquo; lives in danger. New technologies are needed for safely observing responses to these policies. This paper reports using thousands of network cameras deployed worldwide for the purpose of witnessing activities in response to the policies. The network cameras can continuously provide real-time visual data (image and video) without human efforts. Thus, network cameras can be utilized to observe activities without risking the lives of reporters. This paper describes a project that uses network cameras to observe responses to governments&rsquo; policies during the COVID-19 pandemic (March to April in 2020). The project discovers over 30,000 network cameras deployed in 110 countries. A set of computer tools are created to collect visual data from network cameras continuously during the pandemic. This paper describes the methods to discover network cameras on the Internet, the methods to collect and manage data, and preliminary results of data analysis. This project can be the foundation for observing the possible "second wave" in fall 2020. The data may be used for post-pandemic analysis by sociologists, public health experts, and meteorologists.</p><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/&amp;text=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/&amp;t=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras&amp;body=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/&amp;title=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras%20https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/ghodgaonkar-observing-2020/&amp;title=Observing%20Responses%20to%20the%20COVID-19%20Pandemic%20using%20Worldwide%20Network%20Cameras" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Processing visual data on mobile devices has many applications, e.g., emergency response and tracking. State-of-the-art computer vision techniques rely on large Deep Neural Networks (DNNs) that are usually too power-hungry to be deployed on resource-constrained edge devices. Many techniques improve DNN efficiency of DNNs by compromising accuracy. However, the accuracy and efficiency of these techniques cannot be adapted for diverse edge applications with different hardware constraints and accuracy requirements. This paper demonstrates that a recent, efficient tree-based DNN architecture, called the hierarchical DNN, can be converted into a Directed Acyclic Graph-based (DAG) architecture to provide tunable accuracy-efficiency tradeoff options. We propose a systematic method that identifies the connections that must be added to convert the tree to a DAG to improve accuracy. We conduct experiments on popular edge devices and show that increasing the connectivity of the DAG improves the accuracy to within 1% of the existing high accuracy techniques. Our approach requires 93% less memory, 43% less energy, and 49% fewer operations than the high accuracy techniques, thus providing more accuracy-efficiency configurations."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/goel-directed-2022/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/goel-directed-2022/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/goel-directed-2022/"><meta property="og:title" content="Directed Acyclic Graph-Based Neural Networks for Tunable Low-Power Computer Vision | Software and Systems Laboratory"><meta property="og:description" content="Processing visual data on mobile devices has many applications, e.g., emergency response and tracking. State-of-the-art computer vision techniques rely on large Deep Neural Networks (DNNs) that are usually too power-hungry to be deployed on resource-constrained edge devices. Many techniques improve DNN efficiency of DNNs by compromising accuracy. However, the accuracy and efficiency of these techniques cannot be adapted for diverse edge applications with different hardware constraints and accuracy requirements. This paper demonstrates that a recent, efficient tree-based DNN architecture, called the hierarchical DNN, can be converted into a Directed Acyclic Graph-based (DAG) architecture to provide tunable accuracy-efficiency tradeoff options. We propose a systematic method that identifies the connections that must be added to convert the tree to a DAG to improve accuracy. We conduct experiments on popular edge devices and show that increasing the connectivity of the DAG improves the accuracy to within 1% of the existing high accuracy techniques. Our approach requires 93% less memory, 43% less energy, and 49% fewer operations than the high accuracy techniques, thus providing more accuracy-efficiency configurations."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:30+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:30-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/goel-directed-2022/"},"headline":"Directed Acyclic Graph-Based Neural Networks for Tunable Low-Power Computer Vision","datePublished":"2023-02-09T18:57:30Z","dateModified":"2023-02-09T12:57:30-06:00","author":{"@type":"Person","name":"Abhinav Goel"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Processing visual data on mobile devices has many applications, e.g., emergency response and tracking. State-of-the-art computer vision techniques rely on large Deep Neural Networks (DNNs) that are usually too power-hungry to be deployed on resource-constrained edge devices. Many techniques improve DNN efficiency of DNNs by compromising accuracy. However, the accuracy and efficiency of these techniques cannot be adapted for diverse edge applications with different hardware constraints and accuracy requirements. This paper demonstrates that a recent, efficient tree-based DNN architecture, called the hierarchical DNN, can be converted into a Directed Acyclic Graph-based (DAG) architecture to provide tunable accuracy-efficiency tradeoff options. We propose a systematic method that identifies the connections that must be added to convert the tree to a DAG to improve accuracy. We conduct experiments on popular edge devices and show that increasing the connectivity of the DAG improves the accuracy to within 1% of the existing high accuracy techniques. Our approach requires 93% less memory, 43% less energy, and 49% fewer operations than the high accuracy techniques, thus providing more accuracy-efficiency configurations."}</script><title>Directed Acyclic Graph-Based Neural Networks for Tunable Low-Power Computer Vision | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=919cd03cdf9772df26be2133362eefb7><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Directed Acyclic Graph-Based Neural Networks for Tunable Low-Power Computer Vision</h1><div class=article-metadata><div><span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/nick-eliopoulos/>Nick Eliopoulos</a></span>, <span><a href=/author/xiao-hu/>Xiao Hu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/james-c.-davis/>James C. Davis</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span></div><span class=article-date>January 2022</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/goel-directed-2022/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3531437.3539723 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3531437.3539723 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Processing visual data on mobile devices has many applications, e.g., emergency response and tracking. State-of-the-art computer vision techniques rely on large Deep Neural Networks (DNNs) that are usually too power-hungry to be deployed on resource-constrained edge devices. Many techniques improve DNN efficiency of DNNs by compromising accuracy. However, the accuracy and efficiency of these techniques cannot be adapted for diverse edge applications with different hardware constraints and accuracy requirements. This paper demonstrates that a recent, efficient tree-based DNN architecture, called the hierarchical DNN, can be converted into a Directed Acyclic Graph-based (DAG) architecture to provide tunable accuracy-efficiency tradeoff options. We propose a systematic method that identifies the connections that must be added to convert the tree to a DAG to improve accuracy. We conduct experiments on popular edge devices and show that increasing the connectivity of the DAG improves the accuracy to within 1% of the existing high accuracy techniques. Our approach requires 93% less memory, 43% less energy, and 49% fewer operations than the high accuracy techniques, thus providing more accuracy-efficiency configurations.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/goel-directed-2022/&text=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/goel-directed-2022/&t=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision&body=https://ssl.cs.luc.edu/publication/goel-directed-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/goel-directed-2022/&title=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision%20https://ssl.cs.luc.edu/publication/goel-directed-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/goel-directed-2022/&title=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3531437.3539723 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Processing visual data on mobile devices has many applications, e.g., emergency response and tracking. State-of-the-art computer vision techniques rely on large Deep Neural Networks (DNNs) that are usually too power-hungry to be deployed on resource-constrained edge devices. Many techniques improve DNN efficiency of DNNs by compromising accuracy. However, the accuracy and efficiency of these techniques cannot be adapted for diverse edge applications with different hardware constraints and accuracy requirements. This paper demonstrates that a recent, efficient tree-based DNN architecture, called the hierarchical DNN, can be converted into a Directed Acyclic Graph-based (DAG) architecture to provide tunable accuracy-efficiency tradeoff options. We propose a systematic method that identifies the connections that must be added to convert the tree to a DAG to improve accuracy. We conduct experiments on popular edge devices and show that increasing the connectivity of the DAG improves the accuracy to within 1% of the existing high accuracy techniques. Our approach requires 93% less memory, 43% less energy, and 49% fewer operations than the high accuracy techniques, thus providing more accuracy-efficiency configurations.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/goel-directed-2022/&amp;text=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/goel-directed-2022/&amp;t=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision&amp;body=https://ssl.cs.luc.edu/publication/goel-directed-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/goel-directed-2022/&amp;title=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision%20https://ssl.cs.luc.edu/publication/goel-directed-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/goel-directed-2022/&amp;title=Directed%20Acyclic%20Graph-Based%20Neural%20Networks%20for%20Tunable%20Low-Power%20Computer%20Vision" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Computer vision on low-power edge devices enables applications including search-and-rescue and security. State-of-the-art computer vision algorithms, such as Deep Neural Networks (DNNs), are too large for inference on low-power edge devices. To improve efficiency, some existing approaches parallelize DNN inference across multiple edge devices. However, these techniques introduce significant communication and synchronization overheads or are unable to balance workloads across devices. This paper demonstrates that the hierarchical DNN architecture is well suited for parallel processing on multiple edge devices. We design a novel method that creates a parallel inference pipeline for computer vision problems that use hierarchical DNNs. The method balances loads across the collaborating devices and reduces communication costs to facilitate the processing of multiple video frames simultaneously with higher throughput. Our experiments consider a representative computer vision problem where image recognition is performed on each video frame, running on multiple Raspberry Pi 4Bs. With four collaborating low-power edge devices, our approach achieves 3.21X higher throughput, 68% less energy consumption per device per frame, and 58% decrease in memory when compared with existing single-device hierarchical DNNs."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/goel-efficient-2022/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/goel-efficient-2022/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/goel-efficient-2022/"><meta property="og:title" content="Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks | Software and Systems Laboratory"><meta property="og:description" content="Computer vision on low-power edge devices enables applications including search-and-rescue and security. State-of-the-art computer vision algorithms, such as Deep Neural Networks (DNNs), are too large for inference on low-power edge devices. To improve efficiency, some existing approaches parallelize DNN inference across multiple edge devices. However, these techniques introduce significant communication and synchronization overheads or are unable to balance workloads across devices. This paper demonstrates that the hierarchical DNN architecture is well suited for parallel processing on multiple edge devices. We design a novel method that creates a parallel inference pipeline for computer vision problems that use hierarchical DNNs. The method balances loads across the collaborating devices and reduces communication costs to facilitate the processing of multiple video frames simultaneously with higher throughput. Our experiments consider a representative computer vision problem where image recognition is performed on each video frame, running on multiple Raspberry Pi 4Bs. With four collaborating low-power edge devices, our approach achieves 3.21X higher throughput, 68% less energy consumption per device per frame, and 58% decrease in memory when compared with existing single-device hierarchical DNNs."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:30+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:30-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/goel-efficient-2022/"},"headline":"Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks","datePublished":"2023-02-09T18:57:30Z","dateModified":"2023-02-09T12:57:30-06:00","author":{"@type":"Person","name":"Abhinav Goel"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Computer vision on low-power edge devices enables applications including search-and-rescue and security. State-of-the-art computer vision algorithms, such as Deep Neural Networks (DNNs), are too large for inference on low-power edge devices. To improve efficiency, some existing approaches parallelize DNN inference across multiple edge devices. However, these techniques introduce significant communication and synchronization overheads or are unable to balance workloads across devices. This paper demonstrates that the hierarchical DNN architecture is well suited for parallel processing on multiple edge devices. We design a novel method that creates a parallel inference pipeline for computer vision problems that use hierarchical DNNs. The method balances loads across the collaborating devices and reduces communication costs to facilitate the processing of multiple video frames simultaneously with higher throughput. Our experiments consider a representative computer vision problem where image recognition is performed on each video frame, running on multiple Raspberry Pi 4Bs. With four collaborating low-power edge devices, our approach achieves 3.21X higher throughput, 68% less energy consumption per device per frame, and 58% decrease in memory when compared with existing single-device hierarchical DNNs."}</script><title>Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=27e81a195afb1092f4bc56fb369cdd96><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks</h1><div class=article-metadata><div><span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/xiao-hu/>Xiao Hu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/james-c.-davis/>James C. Davis</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span></div><span class=article-date>January 2022</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/goel-efficient-2022/cite.bib>Cite</a>
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-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/276/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Computer vision on low-power edge devices enables applications including search-and-rescue and security. State-of-the-art computer vision algorithms, such as Deep Neural Networks (DNNs), are too large for inference on low-power edge devices. To improve efficiency, some existing approaches parallelize DNN inference across multiple edge devices. However, these techniques introduce significant communication and synchronization overheads or are unable to balance workloads across devices. This paper demonstrates that the hierarchical DNN architecture is well suited for parallel processing on multiple edge devices. We design a novel method that creates a parallel inference pipeline for computer vision problems that use hierarchical DNNs. The method balances loads across the collaborating devices and reduces communication costs to facilitate the processing of multiple video frames simultaneously with higher throughput. Our experiments consider a representative computer vision problem where image recognition is performed on each video frame, running on multiple Raspberry Pi 4Bs. With four collaborating low-power edge devices, our approach achieves 3.21X higher throughput, 68% less energy consumption per device per frame, and 58% decrease in memory when compared with existing single-device hierarchical DNNs.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>27th Asia and South Pacific Design Automation Conference (ASP-DAC)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/goel-efficient-2022/&text=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/goel-efficient-2022/&t=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks&body=https://ssl.cs.luc.edu/publication/goel-efficient-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/goel-efficient-2022/&title=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks%20https://ssl.cs.luc.edu/publication/goel-efficient-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/goel-efficient-2022/&title=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/276/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Computer vision on low-power edge devices enables applications including search-and-rescue and security. State-of-the-art computer vision algorithms, such as Deep Neural Networks (DNNs), are too large for inference on low-power edge devices. To improve efficiency, some existing approaches parallelize DNN inference across multiple edge devices. However, these techniques introduce significant communication and synchronization overheads or are unable to balance workloads across devices. This paper demonstrates that the hierarchical DNN architecture is well suited for parallel processing on multiple edge devices. We design a novel method that creates a parallel inference pipeline for computer vision problems that use hierarchical DNNs. The method balances loads across the collaborating devices and reduces communication costs to facilitate the processing of multiple video frames simultaneously with higher throughput. Our experiments consider a representative computer vision problem where image recognition is performed on each video frame, running on multiple Raspberry Pi 4Bs. With four collaborating low-power edge devices, our approach achieves 3.21X higher throughput, 68% less energy consumption per device per frame, and 58% decrease in memory when compared with existing single-device hierarchical DNNs.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>27th Asia and South Pacific Design Automation Conference (ASP-DAC)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/goel-efficient-2022/&amp;text=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/goel-efficient-2022/&amp;t=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks&amp;body=https://ssl.cs.luc.edu/publication/goel-efficient-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/goel-efficient-2022/&amp;title=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks%20https://ssl.cs.luc.edu/publication/goel-efficient-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/goel-efficient-2022/&amp;title=Efficient%20Computer%20Vision%20on%20Edge%20Devices%20with%20Pipeline-Parallel%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in many computer vision tasks, such as object counting. Object counting takes two inputs: an image and an object query and reports the number of occurrences of the queried object. To achieve high accuracy, DNNs require billions of operations, making them difficult to deploy on resource-constrained, low-power devices. Prior work shows that a significant number of DNN operations are redundant and can be eliminated without affecting the accuracy. To reduce these redundancies, we propose a hierarchical DNN architecture for object counting. This architecture uses a Region Proposal Network (RPN) to propose regions-of-interest (RoIs) that may contain the queried objects. A hierarchical classifier then efficiently finds the RoIs that actually contain the queried objects. The hierarchy contains groups of visually similar object categories. Small DNNs at each node of the hierarchy classify between these groups. The RoIs are incrementally processed by the hierarchical classifier. If the object in an RoI is in the same group as the queried object, then the next DNN in the hierarchy processes the RoI further; otherwise, the RoI is discarded. By using a few small DNNs to process each image, this method reduces the memory requirement, inference time, energy consumption, and number of operations with negligible accuracy loss when compared with the existing techniques."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/goel-low-power-2020/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/goel-low-power-2020/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/goel-low-power-2020/"><meta property="og:title" content="Low-Power Object Counting with Hierarchical Neural Networks | Software and Systems Laboratory"><meta property="og:description" content="Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in many computer vision tasks, such as object counting. Object counting takes two inputs: an image and an object query and reports the number of occurrences of the queried object. To achieve high accuracy, DNNs require billions of operations, making them difficult to deploy on resource-constrained, low-power devices. Prior work shows that a significant number of DNN operations are redundant and can be eliminated without affecting the accuracy. To reduce these redundancies, we propose a hierarchical DNN architecture for object counting. This architecture uses a Region Proposal Network (RPN) to propose regions-of-interest (RoIs) that may contain the queried objects. A hierarchical classifier then efficiently finds the RoIs that actually contain the queried objects. The hierarchy contains groups of visually similar object categories. Small DNNs at each node of the hierarchy classify between these groups. The RoIs are incrementally processed by the hierarchical classifier. If the object in an RoI is in the same group as the queried object, then the next DNN in the hierarchy processes the RoI further; otherwise, the RoI is discarded. By using a few small DNNs to process each image, this method reduces the memory requirement, inference time, energy consumption, and number of operations with negligible accuracy loss when compared with the existing techniques."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:32+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:32-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/goel-low-power-2020/"},"headline":"Low-Power Object Counting with Hierarchical Neural Networks","datePublished":"2023-02-09T18:57:32Z","dateModified":"2023-02-09T12:57:32-06:00","author":{"@type":"Person","name":"Abhinav Goel"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in many computer vision tasks, such as object counting. Object counting takes two inputs: an image and an object query and reports the number of occurrences of the queried object. To achieve high accuracy, DNNs require billions of operations, making them difficult to deploy on resource-constrained, low-power devices. Prior work shows that a significant number of DNN operations are redundant and can be eliminated without affecting the accuracy. To reduce these redundancies, we propose a hierarchical DNN architecture for object counting. This architecture uses a Region Proposal Network (RPN) to propose regions-of-interest (RoIs) that may contain the queried objects. A hierarchical classifier then efficiently finds the RoIs that actually contain the queried objects. The hierarchy contains groups of visually similar object categories. Small DNNs at each node of the hierarchy classify between these groups. The RoIs are incrementally processed by the hierarchical classifier. If the object in an RoI is in the same group as the queried object, then the next DNN in the hierarchy processes the RoI further; otherwise, the RoI is discarded. By using a few small DNNs to process each image, this method reduces the memory requirement, inference time, energy consumption, and number of operations with negligible accuracy loss when compared with the existing techniques."}</script><title>Low-Power Object Counting with Hierarchical Neural Networks | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=409ade8cfa6cda6bfea617ed94c0de76><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Low-Power Object Counting with Hierarchical Neural Networks</h1><div class=article-metadata><div><span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/sara-aghajanzadeh/>Sara Aghajanzadeh</a></span>, <span><a href=/author/isha-ghodgaonkar/>Isha Ghodgaonkar</a></span>, <span><a href=/author/shreya-ghosh/>Shreya Ghosh</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/goel-low-power-2020/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3370748.3406569 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3370748.3406569 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in many computer vision tasks, such as object counting. Object counting takes two inputs: an image and an object query and reports the number of occurrences of the queried object. To achieve high accuracy, DNNs require billions of operations, making them difficult to deploy on resource-constrained, low-power devices. Prior work shows that a significant number of DNN operations are redundant and can be eliminated without affecting the accuracy. To reduce these redundancies, we propose a hierarchical DNN architecture for object counting. This architecture uses a Region Proposal Network (RPN) to propose regions-of-interest (RoIs) that may contain the queried objects. A hierarchical classifier then efficiently finds the RoIs that actually contain the queried objects. The hierarchy contains groups of visually similar object categories. Small DNNs at each node of the hierarchy classify between these groups. The RoIs are incrementally processed by the hierarchical classifier. If the object in an RoI is in the same group as the queried object, then the next DNN in the hierarchy processes the RoI further; otherwise, the RoI is discarded. By using a few small DNNs to process each image, this method reduces the memory requirement, inference time, energy consumption, and number of operations with negligible accuracy loss when compared with the existing techniques.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/goel-low-power-2020/&text=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/goel-low-power-2020/&t=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks&body=https://ssl.cs.luc.edu/publication/goel-low-power-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/goel-low-power-2020/&title=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks%20https://ssl.cs.luc.edu/publication/goel-low-power-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/goel-low-power-2020/&title=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3370748.3406569 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Deep Neural Networks (DNNs) achieve state-of-the-art accuracy in many computer vision tasks, such as object counting. Object counting takes two inputs: an image and an object query and reports the number of occurrences of the queried object. To achieve high accuracy, DNNs require billions of operations, making them difficult to deploy on resource-constrained, low-power devices. Prior work shows that a significant number of DNN operations are redundant and can be eliminated without affecting the accuracy. To reduce these redundancies, we propose a hierarchical DNN architecture for object counting. This architecture uses a Region Proposal Network (RPN) to propose regions-of-interest (RoIs) that may contain the queried objects. A hierarchical classifier then efficiently finds the RoIs that actually contain the queried objects. The hierarchy contains groups of visually similar object categories. Small DNNs at each node of the hierarchy classify between these groups. The RoIs are incrementally processed by the hierarchical classifier. If the object in an RoI is in the same group as the queried object, then the next DNN in the hierarchy processes the RoI further; otherwise, the RoI is discarded. By using a few small DNNs to process each image, this method reduces the memory requirement, inference time, energy consumption, and number of operations with negligible accuracy loss when compared with the existing techniques.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/goel-low-power-2020/&amp;text=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/goel-low-power-2020/&amp;t=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks&amp;body=https://ssl.cs.luc.edu/publication/goel-low-power-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/goel-low-power-2020/&amp;title=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks%20https://ssl.cs.luc.edu/publication/goel-low-power-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/goel-low-power-2020/&amp;title=Low-Power%20Object%20Counting%20with%20Hierarchical%20Neural%20Networks" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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The techniques can be divided into four major categories: (1) parameter quantization and pruning, (2) compressed convolutional filters and matrix factorization, (3) network architecture search, and (4) knowledge distillation. We analyze the accuracy, advantages, disadvantages, and potential solutions to the problems with the techniques in each category. 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We also discuss new evaluation metrics as a guideline for future research."}</script><title>A Survey of Methods for Low-Power Deep Learning and Computer Vision | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=3adb3c145c9dc83643a7309dc3acdba4><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>A Survey of Methods for Low-Power Deep Learning and Computer Vision</h1><div class=article-metadata><div><span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>June 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/goel-survey-2020/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/WF-IoT48130.2020.9221198 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/241 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Deep neural networks (DNNs) are successful in many computer vision tasks. However, the most accurate DNNs require millions of parameters and operations, making them energy, computation and memory intensive. This impedes the deployment of large DNNs in low-power devices with limited compute resources. Recent research improves DNN models by reducing the memory requirement, energy consumption, and number of operations without significantly decreasing the accuracy. This paper surveys the progress of low-power deep learning and computer vision, specifically in regards to inference, and discusses the methods for compacting and accelerating DNN models. The techniques can be divided into four major categories: (1) parameter quantization and pruning, (2) compressed convolutional filters and matrix factorization, (3) network architecture search, and (4) knowledge distillation. We analyze the accuracy, advantages, disadvantages, and potential solutions to the problems with the techniques in each category. We also discuss new evaluation metrics as a guideline for future research.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2020 IEEE 6th World Forum on Internet of Things (WF-IoT)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/goel-survey-2020/&text=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/goel-survey-2020/&t=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision&body=https://ssl.cs.luc.edu/publication/goel-survey-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/goel-survey-2020/&title=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision%20https://ssl.cs.luc.edu/publication/goel-survey-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/goel-survey-2020/&title=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/241 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Deep neural networks (DNNs) are successful in many computer vision tasks. However, the most accurate DNNs require millions of parameters and operations, making them energy, computation and memory intensive. This impedes the deployment of large DNNs in low-power devices with limited compute resources. Recent research improves DNN models by reducing the memory requirement, energy consumption, and number of operations without significantly decreasing the accuracy. This paper surveys the progress of low-power deep learning and computer vision, specifically in regards to inference, and discusses the methods for compacting and accelerating DNN models. The techniques can be divided into four major categories: (1) parameter quantization and pruning, (2) compressed convolutional filters and matrix factorization, (3) network architecture search, and (4) knowledge distillation. We analyze the accuracy, advantages, disadvantages, and potential solutions to the problems with the techniques in each category. We also discuss new evaluation metrics as a guideline for future research.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2020 IEEE 6th World Forum on Internet of Things (WF-IoT)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/goel-survey-2020/&amp;text=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/goel-survey-2020/&amp;t=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision&amp;body=https://ssl.cs.luc.edu/publication/goel-survey-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/goel-survey-2020/&amp;title=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision%20https://ssl.cs.luc.edu/publication/goel-survey-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/goel-survey-2020/&amp;title=A%20Survey%20of%20Methods%20for%20Low-Power%20Deep%20Learning%20and%20Computer%20Vision" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Greenberg"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"This Innovative Practice Work in Progress presents progress in developing exercises for high school students incorporating level-appropriate mathematics into robotics activities. We assume mathematical foundations ranging from algebra to precalculus, whereas most prior work on integrating mathematics into robotics uses only very elementary mathematical reasoning or, at the other extreme, is comprised of technical papers or books using calculus and other advanced mathematics. The exercises suggested are relevant to any differential-drive robot, which is an appropriate model for many different varieties of educational robots. They guide students towards comparing a variety of natural navigational strategies making use of typical movement primitives. The exercises align with Common Core State Standards for Mathematics."}</script><title>Exercises Integrating High School Mathematics with Robot Motion Planning | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=4c51f2e947c4d6eb188466cc99faaaff><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
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Greenberg"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"This paper shows how students can be guided to integrate elementary mathematical analyses with motion planning for typical educational robots. Rather than using calculus as in comprehensive works on motion planning, we show students can achieve interesting results using just simple linear regression tools and trigonometric analyses. Experiments with one robotics platform show that use of these tools can lead to passable navigation through dead reckoning even if students have limited experience with use of sensors, programming, and mathematics."}</script><title>Integrating Mathematics and Educational Robotics: Simple Motion Planning | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=d8a706bd4f3f8fc4f2cef062a29edf83><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Integrating Mathematics and Educational Robotics: Simple Motion Planning</h1><div class=article-metadata><div><span><a href=/author/ronald-i.-greenberg/>Ronald I. Greenberg</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/sara-t.-greenberg/>Sara T. Greenberg</a></span></div><span class=article-date>January 2019</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/greenberg-integrating-2019/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/213 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>This paper shows how students can be guided to integrate elementary mathematical analyses with motion planning for typical educational robots. Rather than using calculus as in comprehensive works on motion planning, we show students can achieve interesting results using just simple linear regression tools and trigonometric analyses. Experiments with one robotics platform show that use of these tools can lead to passable navigation through dead reckoning even if students have limited experience with use of sensors, programming, and mathematics.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>10th International Conference on Robotics in Education (RiE)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/&text=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/&t=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning&body=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/&title=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning%20https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/&title=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/213 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>This paper shows how students can be guided to integrate elementary mathematical analyses with motion planning for typical educational robots. Rather than using calculus as in comprehensive works on motion planning, we show students can achieve interesting results using just simple linear regression tools and trigonometric analyses. Experiments with one robotics platform show that use of these tools can lead to passable navigation through dead reckoning even if students have limited experience with use of sensors, programming, and mathematics.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>10th International Conference on Robotics in Education (RiE)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/&amp;text=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/&amp;t=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning&amp;body=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/&amp;title=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning%20https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/greenberg-integrating-2019/&amp;title=Integrating%20Mathematics%20and%20Educational%20Robotics:%20Simple%20Motion%20Planning" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Academic courses focused on individual microcomputers or client/server applications are no longer sufficient for students to develop knowledge in embedded systems. Current and near-term industrial systems employ multiple interacting components and new network and security approaches; hence, academic preparation requires teaching students to develop realistic projects comparable to these real-world products. However, the complexity, breadth, and technical variations of these real-world products are difficult to reproduce in the classroom. This paper outlines preliminary work on a framework architecture suitable for academic teaching of modern embedded systems including the Internet of Things. It defines four layers, two of which are at the edges of the network, and not adequately covered in academia. For each layer of the architecture, specific technology and suitable devices are identified. Desired academic outcomes for courses using projects based on the architecture are identified. 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Current and near-term industrial systems employ multiple interacting components and new network and security approaches; hence, academic preparation requires teaching students to develop realistic projects comparable to these real-world products. However, the complexity, breadth, and technical variations of these real-world products are difficult to reproduce in the classroom. This paper outlines preliminary work on a framework architecture suitable for academic teaching of modern embedded systems including the Internet of Things. It defines four layers, two of which are at the edges of the network, and not adequately covered in academia. For each layer of the architecture, specific technology and suitable devices are identified. Desired academic outcomes for courses using projects based on the architecture are identified. Feedback and comparison is sought on how effective student course and research activities based on the framework will be to real-world embedded systems developers."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:35+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:35-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/honig-framework-2015/"},"headline":"A Framework Architecture for Student Learning in Distributed Embedded Systems","datePublished":"2023-02-09T18:57:35Z","dateModified":"2023-02-09T12:57:35-06:00","author":{"@type":"Person","name":"William Honig"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Academic courses focused on individual microcomputers or client/server applications are no longer sufficient for students to develop knowledge in embedded systems. Current and near-term industrial systems employ multiple interacting components and new network and security approaches; hence, academic preparation requires teaching students to develop realistic projects comparable to these real-world products. However, the complexity, breadth, and technical variations of these real-world products are difficult to reproduce in the classroom. This paper outlines preliminary work on a framework architecture suitable for academic teaching of modern embedded systems including the Internet of Things. It defines four layers, two of which are at the edges of the network, and not adequately covered in academia. For each layer of the architecture, specific technology and suitable devices are identified. Desired academic outcomes for courses using projects based on the architecture are identified. Feedback and comparison is sought on how effective student course and research activities based on the framework will be to real-world embedded systems developers."}</script><title>A Framework Architecture for Student Learning in Distributed Embedded Systems | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=df9ab10ff70184ddca1e814ae1486804><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>A Framework Architecture for Student Learning in Distributed Embedded Systems</h1><div class=article-metadata><div><span><a href=/author/william-honig/>William Honig</a></span>, <span><a href=/author/konstantin-laufer/>Konstantin Läufer</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2015</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/honig-framework-2015/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/257/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Academic courses focused on individual microcomputers or client/server applications are no longer sufficient for students to develop knowledge in embedded systems. Current and near-term industrial systems employ multiple interacting components and new network and security approaches; hence, academic preparation requires teaching students to develop realistic projects comparable to these real-world products. However, the complexity, breadth, and technical variations of these real-world products are difficult to reproduce in the classroom. This paper outlines preliminary work on a framework architecture suitable for academic teaching of modern embedded systems including the Internet of Things. It defines four layers, two of which are at the edges of the network, and not adequately covered in academia. For each layer of the architecture, specific technology and suitable devices are identified. Desired academic outcomes for courses using projects based on the architecture are identified. Feedback and comparison is sought on how effective student course and research activities based on the framework will be to real-world embedded systems developers.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>10th IEEE International Symposium on Industrial Embedded Systems (SIES)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/honig-framework-2015/&text=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/honig-framework-2015/&t=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems&body=https://ssl.cs.luc.edu/publication/honig-framework-2015/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/honig-framework-2015/&title=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems%20https://ssl.cs.luc.edu/publication/honig-framework-2015/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/honig-framework-2015/&title=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/257/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Academic courses focused on individual microcomputers or client/server applications are no longer sufficient for students to develop knowledge in embedded systems. Current and near-term industrial systems employ multiple interacting components and new network and security approaches; hence, academic preparation requires teaching students to develop realistic projects comparable to these real-world products. However, the complexity, breadth, and technical variations of these real-world products are difficult to reproduce in the classroom. This paper outlines preliminary work on a framework architecture suitable for academic teaching of modern embedded systems including the Internet of Things. It defines four layers, two of which are at the edges of the network, and not adequately covered in academia. For each layer of the architecture, specific technology and suitable devices are identified. Desired academic outcomes for courses using projects based on the architecture are identified. Feedback and comparison is sought on how effective student course and research activities based on the framework will be to real-world embedded systems developers.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>10th IEEE International Symposium on Industrial Embedded Systems (SIES)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/honig-framework-2015/&amp;text=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/honig-framework-2015/&amp;t=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems&amp;body=https://ssl.cs.luc.edu/publication/honig-framework-2015/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/honig-framework-2015/&amp;title=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems%20https://ssl.cs.luc.edu/publication/honig-framework-2015/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/honig-framework-2015/&amp;title=A%20Framework%20Architecture%20for%20Student%20Learning%20in%20Distributed%20Embedded%20Systems" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Many of these risks can be partly attributed to the use of a training image dataset that exhibits sampling biases and thus does not accurately reflect the real visual world. Being able to detect potential sampling biases in the visual dataset prior to model development is thus essential for mitigating the fairness and trustworthy concerns in computer vision. In this paper, we propose a three-step crowdsourcing workflow to get humans into the loop for facilitating bias discovery in image datasets. Through two sets of evaluation studies, we find that the proposed workflow can effectively organize the crowd to detect sampling biases in both datasets that are artificially created with designed biases and real-world image datasets that are widely used in computer vision research and system development."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:32+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:32-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/hu-crowdsourcing-2020/"},"headline":"Crowdsourcing Detection of Sampling Biases in Image Datasets","datePublished":"2023-02-09T18:57:32Z","dateModified":"2023-02-09T12:57:32-06:00","author":{"@type":"Person","name":"Xiao Hu"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Despite many exciting innovations in computer vision, recent studies reveal a number of risks in existing computer vision systems, suggesting results of such systems may be unfair and untrustworthy. Many of these risks can be partly attributed to the use of a training image dataset that exhibits sampling biases and thus does not accurately reflect the real visual world. Being able to detect potential sampling biases in the visual dataset prior to model development is thus essential for mitigating the fairness and trustworthy concerns in computer vision. In this paper, we propose a three-step crowdsourcing workflow to get humans into the loop for facilitating bias discovery in image datasets. Through two sets of evaluation studies, we find that the proposed workflow can effectively organize the crowd to detect sampling biases in both datasets that are artificially created with designed biases and real-world image datasets that are widely used in computer vision research and system development."}</script><title>Crowdsourcing Detection of Sampling Biases in Image Datasets | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=572116e0bd1a54d8aef95cd9db4b5bc9><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Crowdsourcing Detection of Sampling Biases in Image Datasets</h1><div class=article-metadata><div><span><a href=/author/xiao-hu/>Xiao Hu</a></span>, <span><a href=/author/haobo-wang/>Haobo Wang</a></span>, <span><a href=/author/anirudh-vegesana/>Anirudh Vegesana</a></span>, <span><a href=/author/somesh-dube/>Somesh Dube</a></span>, <span><a href=/author/kaiwen-yu/>Kaiwen Yu</a></span>, <span><a href=/author/gore-kao/>Gore Kao</a></span>, <span><a href=/author/shuo-han-chen/>Shuo-Han Chen</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/ming-yin/>Ming Yin</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/hu-crowdsourcing-2020/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3366423.3380063 target=_blank rel=noopener>DOI</a>
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The Nintendo Wii, introduced in 2006, helped usher in a moment of retro-reinvention in video game play. This hugely popular console system, codenamed Revolution during development, signaled a turn away from fully immersive, time-consuming MMORPGs or forty-hour FPS games and back toward family fun in the living room. Players using the wireless motion-sensitive controller (the Wii Remote, or “Wiimote”) play with their whole bodies, waving, swinging, swaying. The mimetic interface shifts attention from what's on the screen to what's happening in physical space. This book describes the Wii's impact in technological, social, and cultural terms, examining the Wii as a system of interrelated hardware and software that was consciously designed to promote social play in physical space. Each chapter of Codename Revolution focuses on a major component of the Wii as a platform: the console itself, designed to be low-powered and nimble; the iconic Wii Remote; Wii Fit Plus, and its controller, the Wii Balance Board; the Wii Channels interface and Nintendo's distribution system; and the Wii as a social platform that not only affords multiplayer options but also encourages social interaction in shared physical space. Finally, the authors connect the Wii's revolution in mimetic interface gaming—which eventually led to the release of Sony's Move and Microsoft's Kinect—to some of the economic and technological conditions that influence the possibility of making something new in this arena of computing and culture."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:29+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:29-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/jones-codename-2012/"},"headline":"Codename Revolution: The Nintendo WII Platform (Platform Studies)","datePublished":"2023-02-09T18:57:29Z","dateModified":"2023-02-09T12:57:29-06:00","author":{"@type":"Person","name":"Steven E. Jones"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Nintendo's hugely popular and influential video game console system considered as technological device and social phenomenon. The Nintendo Wii, introduced in 2006, helped usher in a moment of retro-reinvention in video game play. This hugely popular console system, codenamed Revolution during development, signaled a turn away from fully immersive, time-consuming MMORPGs or forty-hour FPS games and back toward family fun in the living room. Players using the wireless motion-sensitive controller (the Wii Remote, or “Wiimote”) play with their whole bodies, waving, swinging, swaying. The mimetic interface shifts attention from what's on the screen to what's happening in physical space. This book describes the Wii's impact in technological, social, and cultural terms, examining the Wii as a system of interrelated hardware and software that was consciously designed to promote social play in physical space. Each chapter of Codename Revolution focuses on a major component of the Wii as a platform: the console itself, designed to be low-powered and nimble; the iconic Wii Remote; Wii Fit Plus, and its controller, the Wii Balance Board; the Wii Channels interface and Nintendo's distribution system; and the Wii as a social platform that not only affords multiplayer options but also encourages social interaction in shared physical space. Finally, the authors connect the Wii's revolution in mimetic interface gaming—which eventually led to the release of Sony's Move and Microsoft's Kinect—to some of the economic and technological conditions that influence the possibility of making something new in this arena of computing and culture."}</script><title>Codename Revolution: The Nintendo WII Platform (Platform Studies) | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=f39e5bc58dddf13956728847f113ebbe><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Codename Revolution: The Nintendo WII Platform (Platform Studies)</h1><div class=article-metadata><div><span><a href=/author/steven-e.-jones/>Steven E. Jones</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2012</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/jones-codename-2012/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://mitpress.mit.edu/9780262016803/codename-revolution/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Nintendo&rsquo;s hugely popular and influential video game console system considered as technological device and social phenomenon. The Nintendo Wii, introduced in 2006, helped usher in a moment of retro-reinvention in video game play. This hugely popular console system, codenamed Revolution during development, signaled a turn away from fully immersive, time-consuming MMORPGs or forty-hour FPS games and back toward family fun in the living room. Players using the wireless motion-sensitive controller (the Wii Remote, or “Wiimote”) play with their whole bodies, waving, swinging, swaying. The mimetic interface shifts attention from what&rsquo;s on the screen to what&rsquo;s happening in physical space. This book describes the Wii&rsquo;s impact in technological, social, and cultural terms, examining the Wii as a system of interrelated hardware and software that was consciously designed to promote social play in physical space. Each chapter of Codename Revolution focuses on a major component of the Wii as a platform: the console itself, designed to be low-powered and nimble; the iconic Wii Remote; Wii Fit Plus, and its controller, the Wii Balance Board; the Wii Channels interface and Nintendo&rsquo;s distribution system; and the Wii as a social platform that not only affords multiplayer options but also encourages social interaction in shared physical space. Finally, the authors connect the Wii&rsquo;s revolution in mimetic interface gaming—which eventually led to the release of Sony&rsquo;s Move and Microsoft&rsquo;s Kinect—to some of the economic and technological conditions that influence the possibility of making something new in this arena of computing and culture.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#5>Book</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>MIT Press</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/jones-codename-2012/&text=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/jones-codename-2012/&t=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29&body=https://ssl.cs.luc.edu/publication/jones-codename-2012/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/jones-codename-2012/&title=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29%20https://ssl.cs.luc.edu/publication/jones-codename-2012/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/jones-codename-2012/&title=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://mitpress.mit.edu/9780262016803/codename-revolution/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Nintendo&rsquo;s hugely popular and influential video game console system considered as technological device and social phenomenon. The Nintendo Wii, introduced in 2006, helped usher in a moment of retro-reinvention in video game play. This hugely popular console system, codenamed Revolution during development, signaled a turn away from fully immersive, time-consuming MMORPGs or forty-hour FPS games and back toward family fun in the living room. Players using the wireless motion-sensitive controller (the Wii Remote, or “Wiimote”) play with their whole bodies, waving, swinging, swaying. The mimetic interface shifts attention from what&rsquo;s on the screen to what&rsquo;s happening in physical space. This book describes the Wii&rsquo;s impact in technological, social, and cultural terms, examining the Wii as a system of interrelated hardware and software that was consciously designed to promote social play in physical space. Each chapter of Codename Revolution focuses on a major component of the Wii as a platform: the console itself, designed to be low-powered and nimble; the iconic Wii Remote; Wii Fit Plus, and its controller, the Wii Balance Board; the Wii Channels interface and Nintendo&rsquo;s distribution system; and the Wii as a social platform that not only affords multiplayer options but also encourages social interaction in shared physical space. Finally, the authors connect the Wii&rsquo;s revolution in mimetic interface gaming—which eventually led to the release of Sony&rsquo;s Move and Microsoft&rsquo;s Kinect—to some of the economic and technological conditions that influence the possibility of making something new in this arena of computing and culture.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#5>Book</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>MIT Press</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/jones-codename-2012/&amp;text=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/jones-codename-2012/&amp;t=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29&amp;body=https://ssl.cs.luc.edu/publication/jones-codename-2012/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/jones-codename-2012/&amp;title=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29%20https://ssl.cs.luc.edu/publication/jones-codename-2012/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/jones-codename-2012/&amp;title=Codename%20Revolution:%20The%20Nintendo%20WII%20Platform%20%28Platform%20Studies%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Racing the Beam: The Atari Video Computer System,by Ian Bogost and Nick Montfort, inaugurated thePlatform Studies series at MIT Press in 2009.We’ve coauthored a new book in the series, Codename: Revolution: the Nintendo Wii Video Game Console. Platform studies is a quintessentially Digital Humanities approach, since it’s explicitly focused on the interrelationship of computing and cultural expression. According to the series preface, the goal of platform studies is “to consider the lowest level of computing systems and to understand how these systems relate to culture and creativity.”In practice, this involves paying close attentionto specific hardware and software interactions–to the vertical relationships between a platform’s multilayered materialities (Hayles; Kirschenbaum),from transistors to code to cultural reception. Any given act of platform-studies analysis may focus for example on the relationship between the chipset and the OS, or between the graphics processor and display parameters or game developers’ designs.In computing terms, platform is an abstraction(Bogost and Montfort), a pragmatic frame placed around whatever hardware-and-software configuration is required in order to build or run certain specificapplications (including creative works). 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Platform studies is a quintessentially Digital Humanities approach, since it’s explicitly focused on the interrelationship of computing and cultural expression. According to the series preface, the goal of platform studies is “to consider the lowest level of computing systems and to understand how these systems relate to culture and creativity.”In practice, this involves paying close attentionto specific hardware and software interactions–to the vertical relationships between a platform’s multilayered materialities (Hayles; Kirschenbaum),from transistors to code to cultural reception. Any given act of platform-studies analysis may focus for example on the relationship between the chipset and the OS, or between the graphics processor and display parameters or game developers’ designs.In computing terms, platform is an abstraction(Bogost and Montfort), a pragmatic frame placed around whatever hardware-and-software configuration is required in order to build or run certain specificapplications (including creative works). The object of platform studies is thus a shifting series of possibility spaces, any number of dynamic thresholds between discrete levels of a system."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:36+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:36-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/jones-object-2011/"},"headline":"The Object of Platform Studies: Relational Materialities and the Social Platform (the Case of the Nintendo Wii)","datePublished":"2023-02-09T18:57:36Z","dateModified":"2023-02-09T12:57:36-06:00","author":{"@type":"Person","name":"Steven E. Jones"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Racing the Beam: The Atari Video Computer System,by Ian Bogost and Nick Montfort, inaugurated thePlatform Studies series at MIT Press in 2009.We’ve coauthored a new book in the series, Codename: Revolution: the Nintendo Wii Video Game Console. Platform studies is a quintessentially Digital Humanities approach, since it’s explicitly focused on the interrelationship of computing and cultural expression. According to the series preface, the goal of platform studies is “to consider the lowest level of computing systems and to understand how these systems relate to culture and creativity.”In practice, this involves paying close attentionto specific hardware and software interactions–to the vertical relationships between a platform’s multilayered materialities (Hayles; Kirschenbaum),from transistors to code to cultural reception. Any given act of platform-studies analysis may focus for example on the relationship between the chipset and the OS, or between the graphics processor and display parameters or game developers’ designs.In computing terms, platform is an abstraction(Bogost and Montfort), a pragmatic frame placed around whatever hardware-and-software configuration is required in order to build or run certain specificapplications (including creative works). The object of platform studies is thus a shifting series of possibility spaces, any number of dynamic thresholds between discrete levels of a system."}</script><title>The Object of Platform Studies: Relational Materialities and the Social Platform (the Case of the Nintendo Wii) | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=a5e5d5bc5ba163396ebe5432c4833780><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>The Object of Platform Studies: Relational Materialities and the Social Platform (the Case of the Nintendo Wii)</h1><div class=article-metadata><div><span><a href=/author/steven-e.-jones/>Steven E. Jones</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2011</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/jones-object-2011/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/28/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Racing the Beam: The Atari Video Computer System,by Ian Bogost and Nick Montfort, inaugurated thePlatform Studies series at MIT Press in 2009.We’ve coauthored a new book in the series, Codename: Revolution: the Nintendo Wii Video Game Console. Platform studies is a quintessentially Digital Humanities approach, since it’s explicitly focused on the interrelationship of computing and cultural expression. According to the series preface, the goal of platform studies is “to consider the lowest level of computing systems and to understand how these systems relate to culture and creativity.”In practice, this involves paying close attentionto specific hardware and software interactions–to the vertical relationships between a platform’s multilayered materialities (Hayles; Kirschenbaum),from transistors to code to cultural reception. Any given act of platform-studies analysis may focus for example on the relationship between the chipset and the OS, or between the graphics processor and display parameters or game developers’ designs.In computing terms, platform is an abstraction(Bogost and Montfort), a pragmatic frame placed around whatever hardware-and-software configuration is required in order to build or run certain specificapplications (including creative works). The object of platform studies is thus a shifting series of possibility spaces, any number of dynamic thresholds between discrete levels of a system.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Digital Humanities 2011 (DH2011)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/jones-object-2011/&text=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/jones-object-2011/&t=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29&body=https://ssl.cs.luc.edu/publication/jones-object-2011/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/jones-object-2011/&title=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29%20https://ssl.cs.luc.edu/publication/jones-object-2011/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/jones-object-2011/&title=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/28/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Racing the Beam: The Atari Video Computer System,by Ian Bogost and Nick Montfort, inaugurated thePlatform Studies series at MIT Press in 2009.We’ve coauthored a new book in the series, Codename: Revolution: the Nintendo Wii Video Game Console. Platform studies is a quintessentially Digital Humanities approach, since it’s explicitly focused on the interrelationship of computing and cultural expression. According to the series preface, the goal of platform studies is “to consider the lowest level of computing systems and to understand how these systems relate to culture and creativity.”In practice, this involves paying close attentionto specific hardware and software interactions–to the vertical relationships between a platform’s multilayered materialities (Hayles; Kirschenbaum),from transistors to code to cultural reception. Any given act of platform-studies analysis may focus for example on the relationship between the chipset and the OS, or between the graphics processor and display parameters or game developers’ designs.In computing terms, platform is an abstraction(Bogost and Montfort), a pragmatic frame placed around whatever hardware-and-software configuration is required in order to build or run certain specificapplications (including creative works). The object of platform studies is thus a shifting series of possibility spaces, any number of dynamic thresholds between discrete levels of a system.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Digital Humanities 2011 (DH2011)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/jones-object-2011/&amp;text=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/jones-object-2011/&amp;t=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29&amp;body=https://ssl.cs.luc.edu/publication/jones-object-2011/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/jones-object-2011/&amp;title=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29%20https://ssl.cs.luc.edu/publication/jones-object-2011/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/jones-object-2011/&amp;title=The%20Object%20of%20Platform%20Studies:%20Relational%20Materialities%20and%20the%20Social%20Platform%20%28the%20Case%20of%20the%20Nintendo%20Wii%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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diff --git a/publication/kapach-cloud-2019/index.html b/publication/kapach-cloud-2019/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows the most promise to provide the needed resources on demand. In this paper, we investigate how to allocate cloud resources when analyzing real-time data streams from network cameras. A resource manager considers many factors that affect its decisions, including the types of analysis, the number of data streams, and the locations of the cameras. The manager then selects the most cost-efficient types of cloud instances (e.g., central processing unit versus general-purpose graphics processing units) to meet the computational demands for analyzing streams. We evaluate the effectiveness of our approach using Amazon Web Services. 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Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows the most promise to provide the needed resources on demand. In this paper, we investigate how to allocate cloud resources when analyzing real-time data streams from network cameras. A resource manager considers many factors that affect its decisions, including the types of analysis, the number of data streams, and the locations of the cameras. The manager then selects the most cost-efficient types of cloud instances (e.g., central processing unit versus general-purpose graphics processing units) to meet the computational demands for analyzing streams. We evaluate the effectiveness of our approach using Amazon Web Services. Experiments demonstrate more than 50% cost reduction for real workloads."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:39+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:39-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/kapach-cloud-2019/"},"headline":"Cloud Resource Optimization for Processing Multiple Streams of Visual Data","datePublished":"2023-02-09T18:57:39Z","dateModified":"2023-02-09T12:57:39-06:00","author":{"@type":"Person","name":"Z. Kapach"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows the most promise to provide the needed resources on demand. In this paper, we investigate how to allocate cloud resources when analyzing real-time data streams from network cameras. A resource manager considers many factors that affect its decisions, including the types of analysis, the number of data streams, and the locations of the cameras. The manager then selects the most cost-efficient types of cloud instances (e.g., central processing unit versus general-purpose graphics processing units) to meet the computational demands for analyzing streams. We evaluate the effectiveness of our approach using Amazon Web Services. Experiments demonstrate more than 50% cost reduction for real workloads."}</script><title>Cloud Resource Optimization for Processing Multiple Streams of Visual Data | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=f550ac6063dff5b1ec39bf3b97d97479><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Cloud Resource Optimization for Processing Multiple Streams of Visual Data</h1><div class=article-metadata><div><span><a href=/author/z.-kapach/>Z. Kapach</a></span>, <span><a href=/author/a.-ulmer/>A. Ulmer</a></span>, <span><a href=/author/d.-merrick/>D. Merrick</a></span>, <span><a href=/author/a.-alikhan/>A. Alikhan</a></span>, <span><a href=/author/y.-lu/>Y. Lu</a></span>, <span><a href=/author/a.-mohan/>A. Mohan</a></span>, <span><a href=/author/a.-s.-kaseb/>A. S. Kaseb</a></span>, <span><a href=/author/g.-k.-thiruvathukal/>G. K. Thiruvathukal</a></span></div><span class=article-date>July 2019</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/kapach-cloud-2019/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/MMUL.2018.2890255 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/208 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows the most promise to provide the needed resources on demand. In this paper, we investigate how to allocate cloud resources when analyzing real-time data streams from network cameras. A resource manager considers many factors that affect its decisions, including the types of analysis, the number of data streams, and the locations of the cameras. The manager then selects the most cost-efficient types of cloud instances (e.g., central processing unit versus general-purpose graphics processing units) to meet the computational demands for analyzing streams. We evaluate the effectiveness of our approach using Amazon Web Services. Experiments demonstrate more than 50% cost reduction for real workloads.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE MultiMedia</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/&text=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/&t=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data&body=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/&title=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data%20https://ssl.cs.luc.edu/publication/kapach-cloud-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/&title=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/208 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows the most promise to provide the needed resources on demand. In this paper, we investigate how to allocate cloud resources when analyzing real-time data streams from network cameras. A resource manager considers many factors that affect its decisions, including the types of analysis, the number of data streams, and the locations of the cameras. The manager then selects the most cost-efficient types of cloud instances (e.g., central processing unit versus general-purpose graphics processing units) to meet the computational demands for analyzing streams. We evaluate the effectiveness of our approach using Amazon Web Services. Experiments demonstrate more than 50% cost reduction for real workloads.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE MultiMedia</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/&amp;text=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/&amp;t=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data&amp;body=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/&amp;title=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data%20https://ssl.cs.luc.edu/publication/kapach-cloud-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/kapach-cloud-2019/&amp;title=Cloud%20Resource%20Optimization%20for%20Processing%20Multiple%20Streams%20of%20Visual%20Data" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication/kaseb-analyzing-2018-1/index.html b/publication/kaseb-analyzing-2018-1/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. 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Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:33+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:34-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/"},"headline":"Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud","datePublished":"2023-02-09T18:57:33Z","dateModified":"2023-02-09T12:57:34-06:00","author":{"@type":"Person","name":"Ahmed S. Kaseb"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies."}</script><title>Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=8a18247c3a0b17fc8dc508fb45393b93><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud</h1><div class=article-metadata><div><span><a href=/author/ahmed-s.-kaseb/>Ahmed S. Kaseb</a></span>, <span><a href=/author/bo-fu/>Bo Fu</a></span>, <span><a href=/author/anup-mohan/>Anup Mohan</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/amy-reibman/>Amy Reibman</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>April 2018</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/kaseb-analyzing-2018-1/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/MIPR.2018.00020 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/190/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/&text=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/&t=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud&body=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/&title=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud%20https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/&title=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/190/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/&amp;text=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/&amp;t=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud&amp;body=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/&amp;title=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud%20https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018-1/&amp;title=Analyzing%20Real-Time%20Multimedia%20Content%20from%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. 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Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:33+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:33-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/"},"headline":"Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud","datePublished":"2023-02-09T18:57:33Z","dateModified":"2023-02-09T12:57:33-06:00","author":{"@type":"Person","name":"Ahmed S. Kaseb"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies."}</script><title>Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=7fa7753ec62e90ff42b7977d0959fa57><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud</h1><div class=article-metadata><div><span><a href=/author/ahmed-s.-kaseb/>Ahmed S. Kaseb</a></span>, <span><a href=/author/bo-fu/>Bo Fu</a></span>, <span><a href=/author/anup-mohan/>Anup Mohan</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/amy-reibman/>Amy Reibman</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2018</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/kaseb-analyzing-2018/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/190/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE International Conference on Multimedia Information Processing and Retrieval</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/&text=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/&t=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud&body=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/&title=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud%20https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/&title=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/190/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Millions of network cameras are streaming real-time multimedia content (images or videos) for various environments (e.g., highways and malls) and can be used for a variety of applications. Analyzing the content from many network cameras requires significant amounts of computing resources. Cloud vendors offer resources in the form of cloud instances with different capabilities and hourly costs. Some instances include GPUs that can accelerate analysis programs. Doing so incurs additional monetary cost because instances with GPUs are more expensive. It is a challenging problem to reduce the overall monetary cost of using the cloud to analyze the real-time multimedia content from network cameras while meeting the desired analysis frame rates. This paper describes a cloud resource manager that solves this problem by estimating the resource requirements of executing analysis programs using CPU or GPU, formulating the resource allocation problem as a multiple-choice vector bin packing problem, and solving it using an existing algorithm. The experiments show that the manager can reduce up to 61% of the cost compared with other allocation strategies.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE International Conference on Multimedia Information Processing and Retrieval</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/&amp;text=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/&amp;t=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud&amp;body=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/&amp;title=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud%20https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/kaseb-analyzing-2018/&amp;title=Analyzing%20Real-Time%20Multimedia%20Content%20From%20Network%20Cameras%20Using%20CPUs%20and%20GPUs%20in%20the%20Cloud" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Such mappings enable programmatic access to a resource, as well as composition of two or more resources, through the local operating system's standard filesystem application programming interface (API), scriptable file-based command-line utilities, and inter-process communication (IPC) mechanisms. The framework supports automatic and manual authentication. We include several examples intended to show the utility and practicality of our framework."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:36+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:36-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/"},"headline":"RestFS: Resources are Filesystems, too","datePublished":"2023-02-09T18:57:36Z","dateModified":"2023-02-09T12:57:36-06:00","author":{"@type":"Person","name":"Joe P. Kaylor"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"We have designed and implemented RestFS, a software framework that provides a uniform, configurable connector layer for mapping remote web-based resources to local filesystem-based resources, recognizing the similarity between these two types of resources. Such mappings enable programmatic access to a resource, as well as composition of two or more resources, through the local operating system's standard filesystem application programming interface (API), scriptable file-based command-line utilities, and inter-process communication (IPC) mechanisms. The framework supports automatic and manual authentication. We include several examples intended to show the utility and practicality of our framework."}</script><title>RestFS: Resources are Filesystems, too | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=4b7fbfd7441b20953579dcd1b7c6345d><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>RestFS: Resources are Filesystems, too</h1><div class=article-metadata><div><span><a href=/author/joe-p.-kaylor/>Joe P. Kaylor</a></span>, <span><a href=/author/konstantin-laufer/>Konstantin Läufer</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2011</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/kaylor-restfs-2011-1/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/15/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>We have designed and implemented RestFS, a software framework that provides a uniform, configurable connector layer for mapping remote web-based resources to local filesystem-based resources, recognizing the similarity between these two types of resources. Such mappings enable programmatic access to a resource, as well as composition of two or more resources, through the local operating system&rsquo;s standard filesystem application programming interface (API), scriptable file-based command-line utilities, and inter-process communication (IPC) mechanisms. The framework supports automatic and manual authentication. We include several examples intended to show the utility and practicality of our framework.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Second International Workshop / RESTful Design (WS-REST &lsquo;11)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/&text=RestFS:%20Resources%20are%20Filesystems,%20too" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/&t=RestFS:%20Resources%20are%20Filesystems,%20too" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=RestFS:%20Resources%20are%20Filesystems,%20too&body=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/&title=RestFS:%20Resources%20are%20Filesystems,%20too" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=RestFS:%20Resources%20are%20Filesystems,%20too%20https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/&title=RestFS:%20Resources%20are%20Filesystems,%20too" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/15/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>We have designed and implemented RestFS, a software framework that provides a uniform, configurable connector layer for mapping remote web-based resources to local filesystem-based resources, recognizing the similarity between these two types of resources. Such mappings enable programmatic access to a resource, as well as composition of two or more resources, through the local operating system&rsquo;s standard filesystem application programming interface (API), scriptable file-based command-line utilities, and inter-process communication (IPC) mechanisms. The framework supports automatic and manual authentication. We include several examples intended to show the utility and practicality of our framework.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Second International Workshop / RESTful Design (WS-REST &lsquo;11)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/&amp;text=RestFS:%20Resources%20are%20Filesystems,%20too" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/&amp;t=RestFS:%20Resources%20are%20Filesystems,%20too" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=RestFS:%20Resources%20are%20Filesystems,%20too&amp;body=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/&amp;title=RestFS:%20Resources%20are%20Filesystems,%20too" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=RestFS:%20Resources%20are%20Filesystems,%20too%20https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/kaylor-restfs-2011-1/&amp;title=RestFS:%20Resources%20are%20Filesystems,%20too" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Following the Test Spy design pattern, we can reify such interactions programmatically through additional mutable state. Alternatively, a mocking framework, such as Mockito, can automatically generate test spies that allow us to record the interactions and express our expectations in a declarative domain-specific language. According to our study of the test code for Scala's Iterator trait, the latter approach can lead to a significant reduction of test code complexity in terms of metrics such as code size (in some cases over 70% smaller), cyclomatic complexity, and amount of additional mutable state required. In this tools paper, we argue that the resulting test code is not only more maintainable, readable, and intentional, but also a better stylistic match for the Scala community than manually implemented, explicitly stateful test spies."}</script><title>Tests as Maintainable Assets via Auto-Generated Spies: A Case Study Involving the Scala Collections Library's Iterator Trait | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=d464b51617046e0b8d973f73ec34d513><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Tests as Maintainable Assets via Auto-Generated Spies: A Case Study Involving the Scala Collections Library's Iterator Trait</h1><div class=article-metadata><div><span><a href=/author/konstantin-laufer/>Konstantin Läufer</a></span>, <span><a href=/author/john-osullivan/>John O'Sullivan</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2019</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/laufer-tests-2019/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3337932.3338814 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3337932.3338814 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>In testing stateful abstractions, it is often necessary to record interactions, such as method invocations, and express assertions over these interactions. Following the Test Spy design pattern, we can reify such interactions programmatically through additional mutable state. Alternatively, a mocking framework, such as Mockito, can automatically generate test spies that allow us to record the interactions and express our expectations in a declarative domain-specific language. According to our study of the test code for Scala&rsquo;s Iterator trait, the latter approach can lead to a significant reduction of test code complexity in terms of metrics such as code size (in some cases over 70% smaller), cyclomatic complexity, and amount of additional mutable state required. In this tools paper, we argue that the resulting test code is not only more maintainable, readable, and intentional, but also a better stylistic match for the Scala community than manually implemented, explicitly stateful test spies.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the Tenth ACM SIGPLAN Symposium on Scala</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/laufer-tests-2019/&text=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/laufer-tests-2019/&t=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait&body=https://ssl.cs.luc.edu/publication/laufer-tests-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/laufer-tests-2019/&title=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait%20https://ssl.cs.luc.edu/publication/laufer-tests-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/laufer-tests-2019/&title=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3337932.3338814 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>In testing stateful abstractions, it is often necessary to record interactions, such as method invocations, and express assertions over these interactions. Following the Test Spy design pattern, we can reify such interactions programmatically through additional mutable state. Alternatively, a mocking framework, such as Mockito, can automatically generate test spies that allow us to record the interactions and express our expectations in a declarative domain-specific language. According to our study of the test code for Scala&rsquo;s Iterator trait, the latter approach can lead to a significant reduction of test code complexity in terms of metrics such as code size (in some cases over 70% smaller), cyclomatic complexity, and amount of additional mutable state required. In this tools paper, we argue that the resulting test code is not only more maintainable, readable, and intentional, but also a better stylistic match for the Scala community than manually implemented, explicitly stateful test spies.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the Tenth ACM SIGPLAN Symposium on Scala</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/laufer-tests-2019/&amp;text=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/laufer-tests-2019/&amp;t=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait&amp;body=https://ssl.cs.luc.edu/publication/laufer-tests-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/laufer-tests-2019/&amp;title=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait%20https://ssl.cs.luc.edu/publication/laufer-tests-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/laufer-tests-2019/&amp;title=Tests%20as%20Maintainable%20Assets%20via%20Auto-Generated%20Spies:%20A%20Case%20Study%20Involving%20the%20Scala%20Collections%20Library&amp;#39;s%20Iterator%20Trait" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Results show from our experiments that the distributed, pre-processed graph approach to accessing linked data is faster than the traversal approach over a specific range of linked queries."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/lewis-distributed-2017/"><meta property="og:title" content="A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers | Software and Systems Laboratory"><meta property="og:description" content="Efficient RDF, graph based queries are becoming more pertinent based on the increased interest in data analytics and its intersection with large, unstructured but connected data. Many commercial systems have adopted distributed RDF graph systems in order to handle increasing dataset sizes and complex queries. This paper introduces a distribute graph approach to pre-processing linked data. Instead of traversing the memory graph, our system indexes pre-processed join elements that are organized in a graph structure. We analyze the Dbpedia data-set (derived from the Wikipedia corpus) and compare our access method to the graph traversal access approach which we also devise. Results show from our experiments that the distributed, pre-processed graph approach to accessing linked data is faster than the traversal approach over a specific range of linked queries."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:34+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:34-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/lewis-distributed-2017/"},"headline":"A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers","datePublished":"2023-02-09T18:57:34Z","dateModified":"2023-02-09T12:57:34-06:00","author":{"@type":"Person","name":"Mike Lewis"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Efficient RDF, graph based queries are becoming more pertinent based on the increased interest in data analytics and its intersection with large, unstructured but connected data. Many commercial systems have adopted distributed RDF graph systems in order to handle increasing dataset sizes and complex queries. This paper introduces a distribute graph approach to pre-processing linked data. Instead of traversing the memory graph, our system indexes pre-processed join elements that are organized in a graph structure. We analyze the Dbpedia data-set (derived from the Wikipedia corpus) and compare our access method to the graph traversal access approach which we also devise. Results show from our experiments that the distributed, pre-processed graph approach to accessing linked data is faster than the traversal approach over a specific range of linked queries."}</script><title>A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=0892876209e27f78655ab63fb4202768><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>A Distributed Graph Approach for Pre-processing Linked RDF Data Using Supercomputers</h1><div class=article-metadata><div><span><a href=/author/mike-lewis/>Mike Lewis</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/venkatram-vishwanath/>Venkatram Vishwanath</a></span>, <span><a href=/author/michael-papka/>Michael Papka</a></span>, <span><a href=/author/andrew-johnson/>Andrew Johnson</a></span></div><span class=article-date>January 2017</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/lewis-distributed-2017/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/139/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Efficient RDF, graph based queries are becoming more pertinent based on the increased interest in data analytics and its intersection with large, unstructured but connected data. Many commercial systems have adopted distributed RDF graph systems in order to handle increasing dataset sizes and complex queries. This paper introduces a distribute graph approach to pre-processing linked data. Instead of traversing the memory graph, our system indexes pre-processed join elements that are organized in a graph structure. We analyze the Dbpedia data-set (derived from the Wikipedia corpus) and compare our access method to the graph traversal access approach which we also devise. Results show from our experiments that the distributed, pre-processed graph approach to accessing linked data is faster than the traversal approach over a specific range of linked queries.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Workshop on Semantic Big Data (SBD 2018) at ACM SIGMOD</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/&text=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/&t=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers&body=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/&title=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers%20https://ssl.cs.luc.edu/publication/lewis-distributed-2017/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/&title=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/139/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Efficient RDF, graph based queries are becoming more pertinent based on the increased interest in data analytics and its intersection with large, unstructured but connected data. Many commercial systems have adopted distributed RDF graph systems in order to handle increasing dataset sizes and complex queries. This paper introduces a distribute graph approach to pre-processing linked data. Instead of traversing the memory graph, our system indexes pre-processed join elements that are organized in a graph structure. We analyze the Dbpedia data-set (derived from the Wikipedia corpus) and compare our access method to the graph traversal access approach which we also devise. Results show from our experiments that the distributed, pre-processed graph approach to accessing linked data is faster than the traversal approach over a specific range of linked queries.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Workshop on Semantic Big Data (SBD 2018) at ACM SIGMOD</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/&amp;text=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/&amp;t=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers&amp;body=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/&amp;title=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers%20https://ssl.cs.luc.edu/publication/lewis-distributed-2017/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/lewis-distributed-2017/&amp;title=A%20Distributed%20Graph%20Approach%20for%20Pre-processing%20Linked%20RDF%20Data%20Using%20Supercomputers" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Participants are strongly recommended to bring a laptop."}</script><title>Scala for Introductory CS and Parallelism (Workshop) | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=3bfb314ed000a08b99d734d60d27919e><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Scala for Introductory CS and Parallelism (Workshop)</h1><div class=article-metadata><div><span><a href=/author/mark-lewis/>Mark Lewis</a></span>, <span><a href=/author/konstantin-laufer/>Konstantin Läufer</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2014</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/lewis-scala-2014/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://scalaworkshop.cs.luc.edu target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Scala is one of a new breed of hybrid languages with both object-oriented and functional aspects. It happens to be the most successful of these languages coming in at #12 on the Red Monk language ranking and leading all languages in their 2nd tier. This workshop will introduce participants to the Scala programming language, how it can be used effectively in introductory CS courses, and the parallel tools that are available for it. We begin with simple examples in the REPL and scripting environment, then look at doing larger, object-oriented projects. We finish off with an exploration of composable futures and the Akka actor library. Participants are strongly recommended to bring a laptop.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>45th ACM technical symposium / Computer science education (SIGCSE &lsquo;14)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/lewis-scala-2014/&text=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/lewis-scala-2014/&t=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29&body=https://ssl.cs.luc.edu/publication/lewis-scala-2014/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/lewis-scala-2014/&title=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29%20https://ssl.cs.luc.edu/publication/lewis-scala-2014/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/lewis-scala-2014/&title=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://scalaworkshop.cs.luc.edu target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Scala is one of a new breed of hybrid languages with both object-oriented and functional aspects. It happens to be the most successful of these languages coming in at #12 on the Red Monk language ranking and leading all languages in their 2nd tier. This workshop will introduce participants to the Scala programming language, how it can be used effectively in introductory CS courses, and the parallel tools that are available for it. We begin with simple examples in the REPL and scripting environment, then look at doing larger, object-oriented projects. We finish off with an exploration of composable futures and the Akka actor library. Participants are strongly recommended to bring a laptop.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>45th ACM technical symposium / Computer science education (SIGCSE &lsquo;14)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/lewis-scala-2014/&amp;text=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/lewis-scala-2014/&amp;t=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29&amp;body=https://ssl.cs.luc.edu/publication/lewis-scala-2014/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/lewis-scala-2014/&amp;title=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29%20https://ssl.cs.luc.edu/publication/lewis-scala-2014/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/lewis-scala-2014/&amp;title=Scala%20for%20Introductory%20CS%20and%20Parallelism%20%28Workshop%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Laptop recommended with Scala installed."}</script><title>Using Scala strategically across the undergraduate curriculum (abstract only) | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=23f912396436cf9f0241e6199fc716ae><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Using Scala strategically across the undergraduate curriculum (abstract only)</h1><div class=article-metadata><div><span><a href=/author/mark-lewis/>Mark Lewis</a></span>, <span><a href=/author/konstantin-laufer/>Konstantin Läufer</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2013</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/lewis-using-2013/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/69/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Various hybrid-paradigm languages, designed to balance compile-time error detection, conciseness, and performance, have emerged. Scala, e.g., is interoperable with Java and has become an early leader in adoption, especially in the start-up and open-source spaces. Workshop participants experience Scala&rsquo;s value as a teaching language in the CS curriculum through four lecture-lab modules: In CS1, the read-eval-print loop and simple, uniform syntax aid programming in the small. In CS2, higher-order methods allow concise, efficient manipulation of collections. Advanced topics include domain-specific languages, concurrency, web apps/services, and mobile apps. Laptop recommended with Scala installed.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>44th ACM technical symposium / Computer science education (SIGCSE &lsquo;13)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/lewis-using-2013/&text=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/lewis-using-2013/&t=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29&body=https://ssl.cs.luc.edu/publication/lewis-using-2013/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/lewis-using-2013/&title=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29%20https://ssl.cs.luc.edu/publication/lewis-using-2013/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/lewis-using-2013/&title=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/69/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Various hybrid-paradigm languages, designed to balance compile-time error detection, conciseness, and performance, have emerged. Scala, e.g., is interoperable with Java and has become an early leader in adoption, especially in the start-up and open-source spaces. Workshop participants experience Scala&rsquo;s value as a teaching language in the CS curriculum through four lecture-lab modules: In CS1, the read-eval-print loop and simple, uniform syntax aid programming in the small. In CS2, higher-order methods allow concise, efficient manipulation of collections. Advanced topics include domain-specific languages, concurrency, web apps/services, and mobile apps. Laptop recommended with Scala installed.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>44th ACM technical symposium / Computer science education (SIGCSE &lsquo;13)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/lewis-using-2013/&amp;text=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/lewis-using-2013/&amp;t=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29&amp;body=https://ssl.cs.luc.edu/publication/lewis-using-2013/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/lewis-using-2013/&amp;title=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29%20https://ssl.cs.luc.edu/publication/lewis-using-2013/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/lewis-using-2013/&amp;title=Using%20Scala%20strategically%20across%20the%20undergraduate%20curriculum%20%28abstract%20only%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication/lu-see-2019/index.html b/publication/lu-see-2019/index.html
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 <a class="badge badge-light" href=/tag/ip-networks/>Ip networks</a>
 <a class="badge badge-light" href=/tag/cameras/>Cameras</a>
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diff --git a/publication/matthews-comparison-2018/index.html b/publication/matthews-comparison-2018/index.html
index f10e2a1..3616c8a 100644
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="This study explores the performance of modern, accurate machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically the most common fossils found in southern Africa and they often constitute the basis for paleoenvironmental reconstructions. Taxonomic identification of fossil bovid teeth, however, is often imprecise and subjective. Using modern teeth with known taxons, machine learning algorithms can be trained to classify fossils. Previous work by Brophy et. al. 2014 uses elliptical Fourier analysis of the form (size and shape) of the outline of the occlusal surface of each tooth as features in a linear discriminant analysis framework. This manuscript expands on that previous work by exploring how different machine learning approaches classify the teeth and testing which technique is best for classification. Five different machine learning techniques including linear discriminant analysis, neural networks, nuclear penalized multinomial regression, random forests, and support vector machines were used to estimate these models. Support vector machines and random forests perform the best in terms of both log-loss and misclassification rate; both of these methods are improvements over linear discriminant analysis. With the identification and application of these superior methods, bovid teeth can be classified with higher accuracy."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/matthews-comparison-2018/"><meta property="og:title" content="A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae | Software and Systems Laboratory"><meta property="og:description" content="This study explores the performance of modern, accurate machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically the most common fossils found in southern Africa and they often constitute the basis for paleoenvironmental reconstructions. Taxonomic identification of fossil bovid teeth, however, is often imprecise and subjective. Using modern teeth with known taxons, machine learning algorithms can be trained to classify fossils. Previous work by Brophy et. al. 2014 uses elliptical Fourier analysis of the form (size and shape) of the outline of the occlusal surface of each tooth as features in a linear discriminant analysis framework. This manuscript expands on that previous work by exploring how different machine learning approaches classify the teeth and testing which technique is best for classification. Five different machine learning techniques including linear discriminant analysis, neural networks, nuclear penalized multinomial regression, random forests, and support vector machines were used to estimate these models. Support vector machines and random forests perform the best in terms of both log-loss and misclassification rate; both of these methods are improvements over linear discriminant analysis. With the identification and application of these superior methods, bovid teeth can be classified with higher accuracy."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:37+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:38-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/matthews-comparison-2018/"},"headline":"A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae","datePublished":"2023-02-09T18:57:37Z","dateModified":"2023-02-09T12:57:38-06:00","author":{"@type":"Person","name":"Gregory J. Matthews"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"This study explores the performance of modern, accurate machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically the most common fossils found in southern Africa and they often constitute the basis for paleoenvironmental reconstructions. Taxonomic identification of fossil bovid teeth, however, is often imprecise and subjective. Using modern teeth with known taxons, machine learning algorithms can be trained to classify fossils. Previous work by Brophy et. al. 2014 uses elliptical Fourier analysis of the form (size and shape) of the outline of the occlusal surface of each tooth as features in a linear discriminant analysis framework. This manuscript expands on that previous work by exploring how different machine learning approaches classify the teeth and testing which technique is best for classification. Five different machine learning techniques including linear discriminant analysis, neural networks, nuclear penalized multinomial regression, random forests, and support vector machines were used to estimate these models. Support vector machines and random forests perform the best in terms of both log-loss and misclassification rate; both of these methods are improvements over linear discriminant analysis. With the identification and application of these superior methods, bovid teeth can be classified with higher accuracy."}</script><title>A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=cbe3982f351de46b4193a522f1dfd84d><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>A Comparison of Machine Learning Techniques for Taxonomic Classification of Teeth from the Family Bovidae</h1><div class=article-metadata><div><span><a href=/author/gregory-j.-matthews/>Gregory J. Matthews</a></span>, <span><a href=/author/juliet-k.-brophy/>Juliet K. Brophy</a></span>, <span><a href=/author/hongie-gu/>Hongie Gu</a></span>, <span><a href=/author/maxwell-p.-luetkemeier/>Maxwell P. Luetkemeier</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2018</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/matthews-comparison-2018/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1080/02664763.2018.1441381 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1080/02664763.2018.1441381 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>This study explores the performance of modern, accurate machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically the most common fossils found in southern Africa and they often constitute the basis for paleoenvironmental reconstructions. Taxonomic identification of fossil bovid teeth, however, is often imprecise and subjective. Using modern teeth with known taxons, machine learning algorithms can be trained to classify fossils. Previous work by Brophy et. al. 2014 uses elliptical Fourier analysis of the form (size and shape) of the outline of the occlusal surface of each tooth as features in a linear discriminant analysis framework. This manuscript expands on that previous work by exploring how different machine learning approaches classify the teeth and testing which technique is best for classification. Five different machine learning techniques including linear discriminant analysis, neural networks, nuclear penalized multinomial regression, random forests, and support vector machines were used to estimate these models. Support vector machines and random forests perform the best in terms of both log-loss and misclassification rate; both of these methods are improvements over linear discriminant analysis. With the identification and application of these superior methods, bovid teeth can be classified with higher accuracy.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Journal of Applied Statistics</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/&text=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/&t=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae&body=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/&title=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae%20https://ssl.cs.luc.edu/publication/matthews-comparison-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/&title=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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+<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1080/02664763.2018.1441381 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>This study explores the performance of modern, accurate machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically the most common fossils found in southern Africa and they often constitute the basis for paleoenvironmental reconstructions. Taxonomic identification of fossil bovid teeth, however, is often imprecise and subjective. Using modern teeth with known taxons, machine learning algorithms can be trained to classify fossils. Previous work by Brophy et. al. 2014 uses elliptical Fourier analysis of the form (size and shape) of the outline of the occlusal surface of each tooth as features in a linear discriminant analysis framework. This manuscript expands on that previous work by exploring how different machine learning approaches classify the teeth and testing which technique is best for classification. Five different machine learning techniques including linear discriminant analysis, neural networks, nuclear penalized multinomial regression, random forests, and support vector machines were used to estimate these models. Support vector machines and random forests perform the best in terms of both log-loss and misclassification rate; both of these methods are improvements over linear discriminant analysis. With the identification and application of these superior methods, bovid teeth can be classified with higher accuracy.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Journal of Applied Statistics</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/&amp;text=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/&amp;t=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae&amp;body=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/&amp;title=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae%20https://ssl.cs.luc.edu/publication/matthews-comparison-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/matthews-comparison-2018/&amp;title=A%20Comparison%20of%20Machine%20Learning%20Techniques%20for%20Taxonomic%20Classification%20of%20Teeth%20from%20the%20Family%20Bovidae" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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diff --git a/publication/matthews-examining-2017/index.html b/publication/matthews-examining-2017/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="In order to reconstruct environments associated with Plio-Pleistocene hominins in southern Africa, researchers frequently rely upon the animals associated with the hominins, in particular, animals in the Family Bovidae. Bovids in southern Africa are typically identified by their teeth. However, identifying the taxon of a bovid tooth is challenging due to various biasing factors. Furthermore, inaccurate identification of fossil bovids can have significant consequences on the reconstructed paleoenvironment. Recent research on the classification of bovid fossil teeth has relied on using elliptical Fourier analysis to summarize the shape of the outline of the occlusal surface of the tooth and the resulting harmonic amplitudes. Currently, an expert in the field must manually place landmarks around the edges of each tooth which is slow and time consuming. This study tests whether it is possible to crowdsource this task, while maintaining the necessary level of quality needed to perform a statistical analysis on each tooth. Amazon Mechanical Turk workers place landmarks on the edge of the tooth which is compared to the performance of an expert in the field. The results suggest that crowdsourcing the digitization process is reliable and replicable. With the technical aspects of digitization managed, researchers can concentrate on analyzing and interpreting the data."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/matthews-examining-2017/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/matthews-examining-2017/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/matthews-examining-2017/"><meta property="og:title" content="Examining the Use of Amazon's Mechanical Turk for Edge Extraction of the Occlusal Surface of Fossilized Bovid Teeth. | Software and Systems Laboratory"><meta property="og:description" content="In order to reconstruct environments associated with Plio-Pleistocene hominins in southern Africa, researchers frequently rely upon the animals associated with the hominins, in particular, animals in the Family Bovidae. Bovids in southern Africa are typically identified by their teeth. However, identifying the taxon of a bovid tooth is challenging due to various biasing factors. Furthermore, inaccurate identification of fossil bovids can have significant consequences on the reconstructed paleoenvironment. Recent research on the classification of bovid fossil teeth has relied on using elliptical Fourier analysis to summarize the shape of the outline of the occlusal surface of the tooth and the resulting harmonic amplitudes. Currently, an expert in the field must manually place landmarks around the edges of each tooth which is slow and time consuming. This study tests whether it is possible to crowdsource this task, while maintaining the necessary level of quality needed to perform a statistical analysis on each tooth. Amazon Mechanical Turk workers place landmarks on the edge of the tooth which is compared to the performance of an expert in the field. The results suggest that crowdsourcing the digitization process is reliable and replicable. With the technical aspects of digitization managed, researchers can concentrate on analyzing and interpreting the data."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:38+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:38-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/matthews-examining-2017/"},"headline":"Examining the Use of Amazon's Mechanical Turk for Edge Extraction of the Occlusal Surface of Fossilized Bovid Teeth.","datePublished":"2023-02-09T18:57:38Z","dateModified":"2023-02-09T12:57:38-06:00","author":{"@type":"Person","name":"Gregory J. Matthews"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"In order to reconstruct environments associated with Plio-Pleistocene hominins in southern Africa, researchers frequently rely upon the animals associated with the hominins, in particular, animals in the Family Bovidae. Bovids in southern Africa are typically identified by their teeth. However, identifying the taxon of a bovid tooth is challenging due to various biasing factors. Furthermore, inaccurate identification of fossil bovids can have significant consequences on the reconstructed paleoenvironment. Recent research on the classification of bovid fossil teeth has relied on using elliptical Fourier analysis to summarize the shape of the outline of the occlusal surface of the tooth and the resulting harmonic amplitudes. Currently, an expert in the field must manually place landmarks around the edges of each tooth which is slow and time consuming. This study tests whether it is possible to crowdsource this task, while maintaining the necessary level of quality needed to perform a statistical analysis on each tooth. Amazon Mechanical Turk workers place landmarks on the edge of the tooth which is compared to the performance of an expert in the field. The results suggest that crowdsourcing the digitization process is reliable and replicable. With the technical aspects of digitization managed, researchers can concentrate on analyzing and interpreting the data."}</script><title>Examining the Use of Amazon's Mechanical Turk for Edge Extraction of the Occlusal Surface of Fossilized Bovid Teeth. | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=ad21d6887db306ada7fe6a163eb7e33f><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Examining the Use of Amazon's Mechanical Turk for Edge Extraction of the Occlusal Surface of Fossilized Bovid Teeth.</h1><div class=article-metadata><div><span><a href=/author/gregory-j.-matthews/>Gregory J. Matthews</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/matthew-p.-luetkemeier/>Matthew P. Luetkemeier</a></span>, <span><a href=/author/juliet-k.-brophy/>Juliet K. Brophy</a></span></div><span class=article-date>January 2017</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/matthews-examining-2017/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/150/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>In order to reconstruct environments associated with Plio-Pleistocene hominins in southern Africa, researchers frequently rely upon the animals associated with the hominins, in particular, animals in the Family Bovidae. Bovids in southern Africa are typically identified by their teeth. However, identifying the taxon of a bovid tooth is challenging due to various biasing factors. Furthermore, inaccurate identification of fossil bovids can have significant consequences on the reconstructed paleoenvironment. Recent research on the classification of bovid fossil teeth has relied on using elliptical Fourier analysis to summarize the shape of the outline of the occlusal surface of the tooth and the resulting harmonic amplitudes. Currently, an expert in the field must manually place landmarks around the edges of each tooth which is slow and time consuming. This study tests whether it is possible to crowdsource this task, while maintaining the necessary level of quality needed to perform a statistical analysis on each tooth. Amazon Mechanical Turk workers place landmarks on the edge of the tooth which is compared to the performance of an expert in the field. The results suggest that crowdsourcing the digitization process is reliable and replicable. With the technical aspects of digitization managed, researchers can concentrate on analyzing and interpreting the data.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>PLOS ONE</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/matthews-examining-2017/&text=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth." target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/matthews-examining-2017/&t=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth." target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth.&body=https://ssl.cs.luc.edu/publication/matthews-examining-2017/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/matthews-examining-2017/&title=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth." target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth.%20https://ssl.cs.luc.edu/publication/matthews-examining-2017/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/matthews-examining-2017/&title=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth." target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/150/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>In order to reconstruct environments associated with Plio-Pleistocene hominins in southern Africa, researchers frequently rely upon the animals associated with the hominins, in particular, animals in the Family Bovidae. Bovids in southern Africa are typically identified by their teeth. However, identifying the taxon of a bovid tooth is challenging due to various biasing factors. Furthermore, inaccurate identification of fossil bovids can have significant consequences on the reconstructed paleoenvironment. Recent research on the classification of bovid fossil teeth has relied on using elliptical Fourier analysis to summarize the shape of the outline of the occlusal surface of the tooth and the resulting harmonic amplitudes. Currently, an expert in the field must manually place landmarks around the edges of each tooth which is slow and time consuming. This study tests whether it is possible to crowdsource this task, while maintaining the necessary level of quality needed to perform a statistical analysis on each tooth. Amazon Mechanical Turk workers place landmarks on the edge of the tooth which is compared to the performance of an expert in the field. The results suggest that crowdsourcing the digitization process is reliable and replicable. With the technical aspects of digitization managed, researchers can concentrate on analyzing and interpreting the data.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>PLOS ONE</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/matthews-examining-2017/&amp;text=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth." target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/matthews-examining-2017/&amp;t=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth." target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth.&amp;body=https://ssl.cs.luc.edu/publication/matthews-examining-2017/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/matthews-examining-2017/&amp;title=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth." target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth.%20https://ssl.cs.luc.edu/publication/matthews-examining-2017/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/matthews-examining-2017/&amp;title=Examining%20the%20Use%20of%20Amazon&amp;#39;s%20Mechanical%20Turk%20for%20Edge%20Extraction%20of%20the%20Occlusal%20Surface%20of%20Fossilized%20Bovid%20Teeth." target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="We consider the problem of classifying curves when they are observed only partially on their parameter domains. We propose computational methods for (i) completion of partially observed curves; (ii) assessment of completion variability through a nonparametric multiple imputation procedure; (iii) development of nearest neighbor classifiers compatible with the completion techniques. Our contributions are founded on exploiting the geometric notion of shape of a curve, defined as those aspects of a curve that remain unchanged under translations, rotations and reparameterizations. Explicit incorporation of shape information into the computational methods plays the dual role of limiting the set of all possible completions of a curve to those with similar shape while simultaneously enabling more efficient use of training data in the classifier through shape-informed neighborhoods. 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We propose computational methods for (i) completion of partially observed curves; (ii) assessment of completion variability through a nonparametric multiple imputation procedure; (iii) development of nearest neighbor classifiers compatible with the completion techniques. Our contributions are founded on exploiting the geometric notion of shape of a curve, defined as those aspects of a curve that remain unchanged under translations, rotations and reparameterizations. Explicit incorporation of shape information into the computational methods plays the dual role of limiting the set of all possible completions of a curve to those with similar shape while simultaneously enabling more efficient use of training data in the classifier through shape-informed neighborhoods. Our methods are then used for taxonomic classification of partially observed curves arising from images of fossilized Bovidae teeth, obtained from a novel anthropological application concerning paleoenvironmental reconstruction."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:36+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:36-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/"},"headline":"Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology","datePublished":"2023-02-09T18:57:36Z","dateModified":"2023-02-09T12:57:36-06:00","author":{"@type":"Person","name":"Gregory J. Matthews"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"We consider the problem of classifying curves when they are observed only partially on their parameter domains. We propose computational methods for (i) completion of partially observed curves; (ii) assessment of completion variability through a nonparametric multiple imputation procedure; (iii) development of nearest neighbor classifiers compatible with the completion techniques. Our contributions are founded on exploiting the geometric notion of shape of a curve, defined as those aspects of a curve that remain unchanged under translations, rotations and reparameterizations. 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Our methods are then used for taxonomic classification of partially observed curves arising from images of fossilized Bovidae teeth, obtained from a novel anthropological application concerning paleoenvironmental reconstruction."}</script><title>Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=fbf4064f1ef874eda212472fa32238d6><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology</h1><div class=article-metadata><div><span><a href=/author/gregory-j.-matthews/>Gregory J. Matthews</a></span>, <span><a href=/author/karthik-bharath/>Karthik Bharath</a></span>, <span><a href=/author/sebastian-kurtek/>Sebastian Kurtek</a></span>, <span><a href=/author/juliet-k.-brophy/>Juliet K. Brophy</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/ofer-harel/>Ofer Harel</a></span></div><span class=article-date>January 2021</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/matthews-shape-based-2021/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.3389/fams.2021.759622 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://www.frontiersin.org/article/10.3389/fams.2021.759622 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>We consider the problem of classifying curves when they are observed only partially on their parameter domains. We propose computational methods for (i) completion of partially observed curves; (ii) assessment of completion variability through a nonparametric multiple imputation procedure; (iii) development of nearest neighbor classifiers compatible with the completion techniques. Our contributions are founded on exploiting the geometric notion of shape of a curve, defined as those aspects of a curve that remain unchanged under translations, rotations and reparameterizations. Explicit incorporation of shape information into the computational methods plays the dual role of limiting the set of all possible completions of a curve to those with similar shape while simultaneously enabling more efficient use of training data in the classifier through shape-informed neighborhoods. Our methods are then used for taxonomic classification of partially observed curves arising from images of fossilized Bovidae teeth, obtained from a novel anthropological application concerning paleoenvironmental reconstruction.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Frontiers in Applied Mathematics and Statistics</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/&text=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/&t=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology&body=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/&title=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology%20https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/&title=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://www.frontiersin.org/article/10.3389/fams.2021.759622 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>We consider the problem of classifying curves when they are observed only partially on their parameter domains. We propose computational methods for (i) completion of partially observed curves; (ii) assessment of completion variability through a nonparametric multiple imputation procedure; (iii) development of nearest neighbor classifiers compatible with the completion techniques. Our contributions are founded on exploiting the geometric notion of shape of a curve, defined as those aspects of a curve that remain unchanged under translations, rotations and reparameterizations. Explicit incorporation of shape information into the computational methods plays the dual role of limiting the set of all possible completions of a curve to those with similar shape while simultaneously enabling more efficient use of training data in the classifier through shape-informed neighborhoods. Our methods are then used for taxonomic classification of partially observed curves arising from images of fossilized Bovidae teeth, obtained from a novel anthropological application concerning paleoenvironmental reconstruction.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Frontiers in Applied Mathematics and Statistics</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/&amp;text=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/&amp;t=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology&amp;body=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/&amp;title=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology%20https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/matthews-shape-based-2021/&amp;title=Shape-Based%20Classification%20of%20Partially%20Observed%20Curves,%20With%20Applications%20to%20Anthropology" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Instead of looking at language-specific source code features, our pipeline uses a language-agnostic high-level approach to track software quality by focusing on the development process itself, which yields great insight into the processes programmers use to write and maintain their software. Our distributed modular approach to analytics allows the pipeline to be easily extended to support additional metrics in future work. We store extracted data in an embedded SQLite database, which means that analysis can proceed without complex server setup, let alone hosting the software on dedicated servers. Our analytical modules are designed for efficiency, and future runs of our software only collect missing data, supporting the incremental analysis of known, important open-source projects."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:45+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:46-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/miller-toward-2020/"},"headline":"Toward a containerized pipeline for longitudinal analysis of open-source software projects","datePublished":"2023-02-09T18:57:45Z","dateModified":"2023-02-09T12:57:46-06:00","author":{"@type":"Person","name":"Allan Miller"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Trust in open-source software is a cornerstone of scientific progress and a foundation of high-quality public services. Just as standards are integral when judging the efficacy of a novel pharmaceutical compound or determining the spread of a new disease, the software used to make those determinations should be useful, error-free, reliable, performant, and secure. A small bug in an application, library, or framework can lead to economic loss and even loss of life. We rely on software developers to be dynamic and responsive to user review and bug-reporting. Our team developed an open-source modular pipeline to perform empirical investigations of software quality. A key innovation of our approach is to look at projects “from a distance” similar to methods used in climate, e.g. satellite images being used to observe environmental impacts in air quality/rain forests. Instead of looking at language-specific source code features, our pipeline uses a language-agnostic high-level approach to track software quality by focusing on the development process itself, which yields great insight into the processes programmers use to write and maintain their software. Our distributed modular approach to analytics allows the pipeline to be easily extended to support additional metrics in future work. We store extracted data in an embedded SQLite database, which means that analysis can proceed without complex server setup, let alone hosting the software on dedicated servers. Our analytical modules are designed for efficiency, and future runs of our software only collect missing data, supporting the incremental analysis of known, important open-source projects."}</script><title>Toward a containerized pipeline for longitudinal analysis of open-source software projects | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=d72618ae727223d5dae321802a313539><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Toward a containerized pipeline for longitudinal analysis of open-source software projects</h1><div class=article-metadata><div><span><a href=/author/allan-miller/>Allan Miller</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/konstantin-laufer/>Konstantin Läufer</a></span>, <span><a href=/author/emmanuel-amobi/>Emmanuel Amobi</a></span>, <span><a href=/author/sean-higgins/>Sean Higgins</a></span>, <span><a href=/author/linette-maliakal/>Linette Maliakal</a></span>, <span><a href=/author/emily-meister/>Emily Meister</a></span>, <span><a href=/author/jean-luc-putter/>Jean-Luc Putter</a></span>, <span><a href=/author/alex-rose/>Alex Rose</a></span>, <span><a href=/author/nicholas-synovic/>Nicholas Synovic</a></span>, <span><a href=/author/sophie-von-hatten/>Sophie Von Hatten</a></span>, <span><a href=/author/jonathan-warkentin/>Jonathan Warkentin</a></span>, <span><a href=/author/martin-zugschwert/>Martin Zugschwert</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/miller-toward-2020/cite.bib>Cite</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/grs/2020/posters/4 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Trust in open-source software is a cornerstone of scientific progress and a foundation of high-quality public services. Just as standards are integral when judging the efficacy of a novel pharmaceutical compound or determining the spread of a new disease, the software used to make those determinations should be useful, error-free, reliable, performant, and secure. A small bug in an application, library, or framework can lead to economic loss and even loss of life. We rely on software developers to be dynamic and responsive to user review and bug-reporting. Our team developed an open-source modular pipeline to perform empirical investigations of software quality. A key innovation of our approach is to look at projects “from a distance” similar to methods used in climate, e.g. satellite images being used to observe environmental impacts in air quality/rain forests. Instead of looking at language-specific source code features, our pipeline uses a language-agnostic high-level approach to track software quality by focusing on the development process itself, which yields great insight into the processes programmers use to write and maintain their software. Our distributed modular approach to analytics allows the pipeline to be easily extended to support additional metrics in future work. We store extracted data in an embedded SQLite database, which means that analysis can proceed without complex server setup, let alone hosting the software on dedicated servers. Our analytical modules are designed for efficiency, and future runs of our software only collect missing data, supporting the incremental analysis of known, important open-source projects.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Graduate Research Symposium 2020</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/miller-toward-2020/&text=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/miller-toward-2020/&t=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects&body=https://ssl.cs.luc.edu/publication/miller-toward-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/miller-toward-2020/&title=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects%20https://ssl.cs.luc.edu/publication/miller-toward-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/miller-toward-2020/&title=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/grs/2020/posters/4 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Trust in open-source software is a cornerstone of scientific progress and a foundation of high-quality public services. Just as standards are integral when judging the efficacy of a novel pharmaceutical compound or determining the spread of a new disease, the software used to make those determinations should be useful, error-free, reliable, performant, and secure. A small bug in an application, library, or framework can lead to economic loss and even loss of life. We rely on software developers to be dynamic and responsive to user review and bug-reporting. Our team developed an open-source modular pipeline to perform empirical investigations of software quality. A key innovation of our approach is to look at projects “from a distance” similar to methods used in climate, e.g. satellite images being used to observe environmental impacts in air quality/rain forests. Instead of looking at language-specific source code features, our pipeline uses a language-agnostic high-level approach to track software quality by focusing on the development process itself, which yields great insight into the processes programmers use to write and maintain their software. Our distributed modular approach to analytics allows the pipeline to be easily extended to support additional metrics in future work. We store extracted data in an embedded SQLite database, which means that analysis can proceed without complex server setup, let alone hosting the software on dedicated servers. Our analytical modules are designed for efficiency, and future runs of our software only collect missing data, supporting the incremental analysis of known, important open-source projects.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Graduate Research Symposium 2020</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/miller-toward-2020/&amp;text=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/miller-toward-2020/&amp;t=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects&amp;body=https://ssl.cs.luc.edu/publication/miller-toward-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/miller-toward-2020/&amp;title=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects%20https://ssl.cs.luc.edu/publication/miller-toward-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/miller-toward-2020/&amp;title=Toward%20a%20containerized%20pipeline%20for%20longitudinal%20analysis%20of%20open-source%20software%20projects" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/milojicic-innovation-2012/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/milojicic-innovation-2012/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/milojicic-innovation-2012/"><meta property="og:title" content="Innovation Mashups: Academic Rigor Meets Social Networking Buzz | Software and Systems Laboratory"><meta property="og:description" content><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:44+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:44-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/milojicic-innovation-2012/"},"headline":"Innovation Mashups: Academic Rigor Meets Social Networking Buzz","datePublished":"2023-02-09T18:57:44Z","dateModified":"2023-02-09T12:57:44-06:00","author":{"@type":"Person","name":"Dejan Milojicic"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":""}</script><title>Innovation Mashups: Academic Rigor Meets Social Networking Buzz | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=6def25f756edbc13dab268e0ad62ae3b><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Innovation Mashups: Academic Rigor Meets Social Networking Buzz</h1><div class=article-metadata><div><span><a href=/author/dejan-milojicic/>Dejan Milojicic</a></span>, <span><a href=/author/martin-arlitt/>Martin Arlitt</a></span>, <span><a href=/author/doree-d.-seligmann/>Doree D. Seligmann</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/christian-timmerer/>Christian Timmerer</a></span></div><span class=article-date>January 2012</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/milojicic-innovation-2012/cite.bib>Cite</a>
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Phylogenetic analyses were conducted for textgreater6,000 HIV-1 sequences revealing spatial and temporal factors influence the evolution of the individual genes uniquely. Nevertheless, signatures of origin can be extrapolated even despite increased globalization. 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We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 sequences. Phylogenetic analyses were conducted for textgreater6,000 HIV-1 sequences revealing spatial and temporal factors influence the evolution of the individual genes uniquely. Nevertheless, signatures of origin can be extrapolated even despite increased globalization. The approach developed here can easily be customized for any species of interest."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:38+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:38-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/"},"headline":"A Polyglot Approach to Bioinformatics Data Integration: A Phylogenetic Analysis of HIV-1","datePublished":"2023-02-09T18:57:38Z","dateModified":"2023-02-09T12:57:38-06:00","author":{"@type":"Person","name":"Steven Reisman"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"As sequencing technologies continue to drop in price and increase in throughput, new challenges emerge for the management and accessibility of genomic sequence data. We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 sequences. Phylogenetic analyses were conducted for textgreater6,000 HIV-1 sequences revealing spatial and temporal factors influence the evolution of the individual genes uniquely. Nevertheless, signatures of origin can be extrapolated even despite increased globalization. The approach developed here can easily be customized for any species of interest."}</script><title>A Polyglot Approach to Bioinformatics Data Integration: A Phylogenetic Analysis of HIV-1 | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=f10987b6f1ec29e59d43b77901952d4d><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>A Polyglot Approach to Bioinformatics Data Integration: A Phylogenetic Analysis of HIV-1</h1><div class=article-metadata><div><span><a href=/author/steven-reisman/>Steven Reisman</a></span>, <span><a href=/author/thomas-hatzopoulos/>Thomas Hatzopoulos</a></span>, <span><a href=/author/konstantin-laufer/>Konstantin Läufer</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/catherine-putonti/>Catherine Putonti</a></span></div><span class=article-date>January 2016</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/reisman-polyglot-2016/cite.bib>Cite</a>
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-<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.4137/EBO.S32757 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>As sequencing technologies continue to drop in price and increase in throughput, new challenges emerge for the management and accessibility of genomic sequence data. We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 sequences. Phylogenetic analyses were conducted for textgreater6,000 HIV-1 sequences revealing spatial and temporal factors influence the evolution of the individual genes uniquely. Nevertheless, signatures of origin can be extrapolated even despite increased globalization. The approach developed here can easily be customized for any species of interest.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Evolutionary Bioinformatics</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/&text=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/&t=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1&body=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/&title=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1%20https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/&title=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.4137/EBO.S32757 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>As sequencing technologies continue to drop in price and increase in throughput, new challenges emerge for the management and accessibility of genomic sequence data. We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 sequences. Phylogenetic analyses were conducted for textgreater6,000 HIV-1 sequences revealing spatial and temporal factors influence the evolution of the individual genes uniquely. Nevertheless, signatures of origin can be extrapolated even despite increased globalization. The approach developed here can easily be customized for any species of interest.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Evolutionary Bioinformatics</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/&amp;text=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/&amp;t=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1&amp;body=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/&amp;title=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1%20https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/reisman-polyglot-2016/&amp;title=A%20Polyglot%20Approach%20to%20Bioinformatics%20Data%20Integration:%20A%20Phylogenetic%20Analysis%20of%20HIV-1" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Former CiSE EICs reflect on the magazine’s 20th anniversary."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/sullivan-former-2018/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/sullivan-former-2018/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/sullivan-former-2018/"><meta property="og:title" content="Former CiSE EICs Reflect on the Magazines 20th Anniversary | Software and Systems Laboratory"><meta property="og:description" content="Former CiSE EICs reflect on the magazine’s 20th anniversary."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:39+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:39-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/sullivan-former-2018/"},"headline":"Former CiSE EICs Reflect on the Magazines 20th Anniversary","datePublished":"2023-02-09T18:57:39Z","dateModified":"2023-02-09T12:57:39-06:00","author":{"@type":"Person","name":"Francis Sullivan"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Former CiSE EICs reflect on the magazine’s 20th anniversary."}</script><title>Former CiSE EICs Reflect on the Magazines 20th Anniversary | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=97938106aa7de034106dc9a8af6a7daa><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Former CiSE EICs Reflect on the Magazines 20th Anniversary</h1><div class=article-metadata><div><span><a href=/author/francis-sullivan/>Francis Sullivan</a></span>, <span><a href=/author/norman-chonacky/>Norman Chonacky</a></span>, <span><a href=/author/isabel-beichl/>Isabel Beichl</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2018</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/sullivan-former-2018/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/MCSE.2018.011111118 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/191/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Former CiSE EICs reflect on the magazine’s 20th anniversary.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Computing in Science Engineering</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/sullivan-former-2018/&text=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/sullivan-former-2018/&t=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary&body=https://ssl.cs.luc.edu/publication/sullivan-former-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/sullivan-former-2018/&title=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary%20https://ssl.cs.luc.edu/publication/sullivan-former-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/sullivan-former-2018/&title=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/191/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Former CiSE EICs reflect on the magazine’s 20th anniversary.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Computing in Science Engineering</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/sullivan-former-2018/&amp;text=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/sullivan-former-2018/&amp;t=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary&amp;body=https://ssl.cs.luc.edu/publication/sullivan-former-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/sullivan-former-2018/&amp;title=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary%20https://ssl.cs.luc.edu/publication/sullivan-former-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/sullivan-former-2018/&amp;title=Former%20CiSE%20EICs%20Reflect%20on%20the%20Magazines%2020th%20Anniversary" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication/surakitbanharn-cross-referencing-2018/index.html b/publication/surakitbanharn-cross-referencing-2018/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content and frequency and content to determine the utility for emergency managers or first responders during a natural disaster."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/"><meta property="og:title" content="Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response | Software and Systems Laboratory"><meta property="og:description" content="Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content and frequency and content to determine the utility for emergency managers or first responders during a natural disaster."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:33+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:33-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/"},"headline":"Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response","datePublished":"2023-02-09T18:57:33Z","dateModified":"2023-02-09T12:57:33-06:00","author":{"@type":"Person","name":"Chittayong Surakitbanharn"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content and frequency and content to determine the utility for emergency managers or first responders during a natural disaster."}</script><title>Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=a48be29b28d3aa554f6f1be1223c4e83><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Cross-Referencing Social Media and Public Surveillance Camera Data for Disaster Response</h1><div class=article-metadata><div><span><a href=/author/chittayong-surakitbanharn/>Chittayong Surakitbanharn</a></span>, <span><a href=/author/calvin-yau/>Calvin Yau</a></span>, <span><a href=/author/guizhen-wang/>Guizhen Wang</a></span>, <span><a href=/author/aniesh-chawla/>Aniesh Chawla</a></span>, <span><a href=/author/yinuo-pan/>Yinuo Pan</a></span>, <span><a href=/author/zhaoya-sun/>Zhaoya Sun</a></span>, <span><a href=/author/sam-yellin/>Sam Yellin</a></span>, <span><a href=/author/david-ebert/>David Ebert</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>October 2018</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/surakitbanharn-cross-referencing-2018/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/THS.2016.7568911 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/203/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content and frequency and content to determine the utility for emergency managers or first responders during a natural disaster.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE Symposium on Technologies for Homeland Security</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/&text=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/&t=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response&body=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/&title=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response%20https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/&title=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/203/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both surveillance cameras and social media during a natural disaster are not fully understood. To address this gap, we tested whether social media is of utility when physical surveillance cameras went off-line during Hurricane Irma in 2017. Specifically, we collected and compared geo-tagged Instagram and Twitter posts in the state of Florida during times and in areas where public surveillance cameras went off-line. We report social media content and frequency and content to determine the utility for emergency managers or first responders during a natural disaster.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>IEEE Symposium on Technologies for Homeland Security</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/&amp;text=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/&amp;t=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response&amp;body=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/&amp;title=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response%20https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/surakitbanharn-cross-referencing-2018/&amp;title=Cross-Referencing%20Social%20Media%20and%20Public%20Surveillance%20Camera%20Data%20for%20Disaster%20Response" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Apt Compiler Toolkit (Legacy Document)</h1><div class=article-metadata><div><span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/ufuk-verun/>Ufuk Verun</a></span></div><span class=article-date>January 2015</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/thiruvathukal-apt-2015/cite.bib>Cite</a></div></div><div class=article-container><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#4>Report</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/thiruvathukal-apt-2015/&text=Apt%20Compiler%20Toolkit%20%28Legacy%20Document%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/thiruvathukal-apt-2015/&t=Apt%20Compiler%20Toolkit%20%28Legacy%20Document%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Apt%20Compiler%20Toolkit%20%28Legacy%20Document%29&body=https://ssl.cs.luc.edu/publication/thiruvathukal-apt-2015/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/thiruvathukal-apt-2015/&title=Apt%20Compiler%20Toolkit%20%28Legacy%20Document%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Apt%20Compiler%20Toolkit%20%28Legacy%20Document%29%20https://ssl.cs.luc.edu/publication/thiruvathukal-apt-2015/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/thiruvathukal-apt-2015/&title=Apt%20Compiler%20Toolkit%20%28Legacy%20Document%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Thiruvathukal"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Two books are reviewed in this issue."}</script><title>Books [reviews of \"Networks, Crowds, and Markets: Reasoning about a Highly-Connected World; Easley, D. and Kleinberg, J.; 2010 and \"Introduction to High Performance Computing for Scientists and Engineers\"; Hager, G. and Wellein, G.; 2011)] | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=c1677911296aa798d082b6ee26e0a7fa><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Books [reviews of \"Networks, Crowds, and Markets: Reasoning about a Highly-Connected World; Easley, D. and Kleinberg, J.; 2010 and \"Introduction to High Performance Computing for Scientists and Engineers\"; Hager, G. and Wellein, G.; 2011)]</h1><div class=article-metadata><div><span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2011</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/thiruvathukal-books-2011/cite.bib>Cite</a>
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+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/264/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Two books are reviewed in this issue.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#2>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Computing in Science and Engineering</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/thiruvathukal-books-2011/&amp;text=Books%20[reviews%20of%20%5c&amp;#34;Networks,%20Crowds,%20and%20Markets:%20Reasoning%20about%20a%20Highly-Connected%20World;%20Easley,%20D.%20and%20Kleinberg,%20J.;%202010%20and%20%5c&amp;#34;Introduction%20to%20High%20Performance%20Computing%20for%20Scientists%20and%20Engineers%5c&amp;#34;;%20Hager,%20G.%20and%20Wellein,%20G.;%202011%29]" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/thiruvathukal-books-2011/&amp;t=Books%20[reviews%20of%20%5c&amp;#34;Networks,%20Crowds,%20and%20Markets:%20Reasoning%20about%20a%20Highly-Connected%20World;%20Easley,%20D.%20and%20Kleinberg,%20J.;%202010%20and%20%5c&amp;#34;Introduction%20to%20High%20Performance%20Computing%20for%20Scientists%20and%20Engineers%5c&amp;#34;;%20Hager,%20G.%20and%20Wellein,%20G.;%202011%29]" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Books%20[reviews%20of%20%5c&amp;#34;Networks,%20Crowds,%20and%20Markets:%20Reasoning%20about%20a%20Highly-Connected%20World;%20Easley,%20D.%20and%20Kleinberg,%20J.;%202010%20and%20%5c&amp;#34;Introduction%20to%20High%20Performance%20Computing%20for%20Scientists%20and%20Engineers%5c&amp;#34;;%20Hager,%20G.%20and%20Wellein,%20G.;%202011%29]&amp;body=https://ssl.cs.luc.edu/publication/thiruvathukal-books-2011/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/thiruvathukal-books-2011/&amp;title=Books%20[reviews%20of%20%5c&amp;#34;Networks,%20Crowds,%20and%20Markets:%20Reasoning%20about%20a%20Highly-Connected%20World;%20Easley,%20D.%20and%20Kleinberg,%20J.;%202010%20and%20%5c&amp;#34;Introduction%20to%20High%20Performance%20Computing%20for%20Scientists%20and%20Engineers%5c&amp;#34;;%20Hager,%20G.%20and%20Wellein,%20G.;%202011%29]" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Books%20[reviews%20of%20%5c&amp;#34;Networks,%20Crowds,%20and%20Markets:%20Reasoning%20about%20a%20Highly-Connected%20World;%20Easley,%20D.%20and%20Kleinberg,%20J.;%202010%20and%20%5c&amp;#34;Introduction%20to%20High%20Performance%20Computing%20for%20Scientists%20and%20Engineers%5c&amp;#34;;%20Hager,%20G.%20and%20Wellein,%20G.;%202011%29]%20https://ssl.cs.luc.edu/publication/thiruvathukal-books-2011/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/thiruvathukal-books-2011/&amp;title=Books%20[reviews%20of%20%5c&amp;#34;Networks,%20Crowds,%20and%20Markets:%20Reasoning%20about%20a%20Highly-Connected%20World;%20Easley,%20D.%20and%20Kleinberg,%20J.;%202010%20and%20%5c&amp;#34;Introduction%20to%20High%20Performance%20Computing%20for%20Scientists%20and%20Engineers%5c&amp;#34;;%20Hager,%20G.%20and%20Wellein,%20G.;%202011%29]" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Increasing access to humanities texts as useful, adaptable, reliable source materials that can be re-purposed will increase interest in continued maintenance, which are critical for long-term preservation and access."}</script><title>E-Carrel: An Environment for Collaborative Textual Scholarship | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=7f08ba77e72165a16049430d9cc85a06><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
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-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/1 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>The E-Carrel project aims to address the preservation of, access to, and re-uses of humanities electronic text files. It enables dynamic, growing resource projects as repositories for new knowledge. It provides for on-line distributed data and tools that are open to new scholarly enhancement through a user friendly tagging tool, sophisticated use of stand-off markup and annotation (leveraging RDF capabilities), and a browsing system anyone can use. It creates a secure system of text preparation and dissemination that encourages collaboration and participation by anyone interested in the texts. To insure the endurance of authenticated texts, multiple copies are distributed on the Internet. Foundation texts anchor a system for maintaining and growing project usefulness beyond the originators’ interest and the functions they imagined. Increasing access to humanities texts as useful, adaptable, reliable source materials that can be re-purposed will increase interest in continued maintenance, which are critical for long-term preservation and access.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>The University of Chicago</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/&text=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/&t=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship&body=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/&title=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship%20https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/&title=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/1 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>The E-Carrel project aims to address the preservation of, access to, and re-uses of humanities electronic text files. It enables dynamic, growing resource projects as repositories for new knowledge. It provides for on-line distributed data and tools that are open to new scholarly enhancement through a user friendly tagging tool, sophisticated use of stand-off markup and annotation (leveraging RDF capabilities), and a browsing system anyone can use. It creates a secure system of text preparation and dissemination that encourages collaboration and participation by anyone interested in the texts. To insure the endurance of authenticated texts, multiple copies are distributed on the Internet. Foundation texts anchor a system for maintaining and growing project usefulness beyond the originators’ interest and the functions they imagined. Increasing access to humanities texts as useful, adaptable, reliable source materials that can be re-purposed will increase interest in continued maintenance, which are critical for long-term preservation and access.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>The University of Chicago</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/&amp;text=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/&amp;t=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship&amp;body=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/&amp;title=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship%20https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/thiruvathukal-e-carrel-2010/&amp;title=E-Carrel:%20An%20Environment%20for%20Collaborative%20Textual%20Scholarship" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/"><meta property="og:title" content="GCASR 15: Middleware for Collaborative Distributed/Mobile Applications: XMPP or Reactive HTTP? | Software and Systems Laboratory"><meta property="og:description" content><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:46+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:46-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/"},"headline":"GCASR 15: Middleware for Collaborative Distributed/Mobile Applications: XMPP or Reactive HTTP?","datePublished":"2023-02-09T18:57:46Z","dateModified":"2023-02-09T12:57:46-06:00","author":{"@type":"Person","name":"George K. Thiruvathukal"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":""}</script><title>GCASR 15: Middleware for Collaborative Distributed/Mobile Applications: XMPP or Reactive HTTP? | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=dafd0c34b5a6d256b9e8f76ebb4f1a3e><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>GCASR 15: Middleware for Collaborative Distributed/Mobile Applications: XMPP or Reactive HTTP?</h1><div class=article-metadata><div><span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2015</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/thiruvathukal-gcasr-2015/cite.bib>Cite</a></div></div><div class=article-container><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/&text=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/&t=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?&body=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/&title=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?%20https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/&title=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>GCASR 15: Middleware for Collaborative Distributed/Mobile Applications: XMPP or Reactive HTTP?</h1><div class=article-metadata><div><span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2015</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/thiruvathukal-gcasr-2015/cite.bib>Cite</a></div></div><div class=article-container><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/&amp;text=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/&amp;t=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?&amp;body=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/&amp;title=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?%20https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/thiruvathukal-gcasr-2015/&amp;title=GCASR%2015:%20Middleware%20for%20Collaborative%20Distributed/Mobile%20Applications:%20XMPP%20or%20Reactive%20HTTP?" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication/thiruvathukal-how-2016/index.html b/publication/thiruvathukal-how-2016/index.html
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="As sci-fi readers and film buffs know, many of these ideas that have been foreshadowed–and that seem far-fetched in–fiction are beginning to seem possible. 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Thiruvathukal"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"As sci-fi readers and film buffs know, many of these ideas that have been foreshadowed–and that seem far-fetched in–fiction are beginning to seem possible. Whether we are considering the benevolent Commander Data in Star Trek: The Next Generation or fearing the terrifying Terminator, we are entering an era where AI as is rapidly entering the public discourse."}</script><title>How AI Is Bringing Hollywood to Life | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=dd66ad9637e1b49a1c7bf6728afd41a6><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>How AI Is Bringing Hollywood to Life</h1><div class=article-metadata><div><span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>January 2016</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/thiruvathukal-how-2016/cite.bib>Cite</a>
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Thiruvathukal"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems."}</script><title>Low-Power Computer Vision: Improve the Efficiency of Artificial Intelligence | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=54266ea0a79af9d5f3af5da131343d3e><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision</h1><div class=article-metadata><div><span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/xiao-hu/>Xiao Hu</a></span>, <span><a href=/author/nick-eliopoulos/>Nick Eliopoulos</a></span>, <span><a href=/author/emmanuel-s.-amobi/>Emmanuel S. Amobi</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/vipin-chaudhary/>Vipin Chaudhary</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span></div><span class=article-date>January 2022</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/tung-irrelevant-2022/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/AICAS54282.2022.9870012 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/293/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/&text=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/&t=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision&body=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/&title=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision%20https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/&title=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/293/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/&amp;text=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/&amp;t=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision&amp;body=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/&amp;title=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision%20https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/tung-irrelevant-2022/&amp;title=Irrelevant%20Pixels%20are%20Everywhere:%20Find%20and%20Exclude%20Them%20for%20More%20Efficient%20Computer%20Vision" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="Computer vision relies on labeled datasets for training and evaluation in detecting and recognizing objects. The popular computer vision program, YOLO (\&#34;You Only Look Once\&#34;), has been shown to accurately detect objects in many major image datasets. However, the images found in those datasets, are independent of one another and cannot be used to test YOLO's consistency at detecting the same object as its environment (e.g. ambient lighting) changes. This paper describes a novel effort to evaluate YOLO's consistency for large-scale applications. It does so by working (a) at large scale and (b) by using consecutive images from a curated network of public video cameras deployed in a variety of real-world situations, including traf?c intersections, national parks, shopping malls, university campuses, etc. We speci?cally examine YOLO's ability to detect objects in different scenarios (e.g., daytime vs. night), leveraging the cameras' ability to rapidly retrieve many successive images for evaluating detection consistency. Using our camera network and advanced computing resources (supercomputers), we analyzedmorethan5millionimagescapturedby140network cameras in 24 hours. Compared with labels marked by humans (considered as \&#34;ground truth\&#34;), YOLO struggles to consistently detect the same humans and cars as their positions change from one frame to the next; it also struggles to detect objects at night time. Our ?ndings suggest that state-of-the art vision solutions should be trained by data from network camera with contextual information before they can be deployed in applications that demand high consistency on object detection."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/tung-large-scale-2019/"><meta property="og:title" content="Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions | Software and Systems Laboratory"><meta property="og:description" content="Computer vision relies on labeled datasets for training and evaluation in detecting and recognizing objects. The popular computer vision program, YOLO (\&#34;You Only Look Once\&#34;), has been shown to accurately detect objects in many major image datasets. However, the images found in those datasets, are independent of one another and cannot be used to test YOLO's consistency at detecting the same object as its environment (e.g. ambient lighting) changes. This paper describes a novel effort to evaluate YOLO's consistency for large-scale applications. It does so by working (a) at large scale and (b) by using consecutive images from a curated network of public video cameras deployed in a variety of real-world situations, including traf?c intersections, national parks, shopping malls, university campuses, etc. We speci?cally examine YOLO's ability to detect objects in different scenarios (e.g., daytime vs. night), leveraging the cameras' ability to rapidly retrieve many successive images for evaluating detection consistency. Using our camera network and advanced computing resources (supercomputers), we analyzedmorethan5millionimagescapturedby140network cameras in 24 hours. Compared with labels marked by humans (considered as \&#34;ground truth\&#34;), YOLO struggles to consistently detect the same humans and cars as their positions change from one frame to the next; it also struggles to detect objects at night time. Our ?ndings suggest that state-of-the art vision solutions should be trained by data from network camera with contextual information before they can be deployed in applications that demand high consistency on object detection."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:33+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:33-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/tung-large-scale-2019/"},"headline":"Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions","datePublished":"2023-02-09T18:57:33Z","dateModified":"2023-02-09T12:57:33-06:00","author":{"@type":"Person","name":"Caleb Tung"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Computer vision relies on labeled datasets for training and evaluation in detecting and recognizing objects. The popular computer vision program, YOLO (\\\"You Only Look Once\\\"), has been shown to accurately detect objects in many major image datasets. However, the images found in those datasets, are independent of one another and cannot be used to test YOLO's consistency at detecting the same object as its environment (e.g. ambient lighting) changes. This paper describes a novel effort to evaluate YOLO's consistency for large-scale applications. It does so by working (a) at large scale and (b) by using consecutive images from a curated network of public video cameras deployed in a variety of real-world situations, including traf?c intersections, national parks, shopping malls, university campuses, etc. We speci?cally examine YOLO's ability to detect objects in different scenarios (e.g., daytime vs. night), leveraging the cameras' ability to rapidly retrieve many successive images for evaluating detection consistency. Using our camera network and advanced computing resources (supercomputers), we analyzedmorethan5millionimagescapturedby140network cameras in 24 hours. Compared with labels marked by humans (considered as \\\"ground truth\\\"), YOLO struggles to consistently detect the same humans and cars as their positions change from one frame to the next; it also struggles to detect objects at night time. Our ?ndings suggest that state-of-the art vision solutions should be trained by data from network camera with contextual information before they can be deployed in applications that demand high consistency on object detection."}</script><title>Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=cabca0239a39719b18de2c744e3e1187><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions</h1><div class=article-metadata><div><span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/matthew-r.-kelleher/>Matthew R. Kelleher</a></span>, <span><a href=/author/ryan-j.-schlueter/>Ryan J. Schlueter</a></span>, <span><a href=/author/binhan-xu/>Binhan Xu</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/yen-kuan.-chen/>Yen-Kuan. Chen</a></span>, <span><a href=/author/yang-lu/>Yang Lu</a></span></div><span class=article-date>March 2019</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/tung-large-scale-2019/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/MIPR.2019.00080 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/207 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Computer vision relies on labeled datasets for training and evaluation in detecting and recognizing objects. The popular computer vision program, YOLO ("You Only Look Once"), has been shown to accurately detect objects in many major image datasets. However, the images found in those datasets, are independent of one another and cannot be used to test YOLO&rsquo;s consistency at detecting the same object as its environment (e.g. ambient lighting) changes. This paper describes a novel effort to evaluate YOLO&rsquo;s consistency for large-scale applications. It does so by working (a) at large scale and (b) by using consecutive images from a curated network of public video cameras deployed in a variety of real-world situations, including traf?c intersections, national parks, shopping malls, university campuses, etc. We speci?cally examine YOLO&rsquo;s ability to detect objects in different scenarios (e.g., daytime vs. night), leveraging the cameras&rsquo; ability to rapidly retrieve many successive images for evaluating detection consistency. Using our camera network and advanced computing resources (supercomputers), we analyzedmorethan5millionimagescapturedby140network cameras in 24 hours. Compared with labels marked by humans (considered as "ground truth"), YOLO struggles to consistently detect the same humans and cars as their positions change from one frame to the next; it also struggles to detect objects at night time. Our ?ndings suggest that state-of-the art vision solutions should be trained by data from network camera with contextual information before they can be deployed in applications that demand high consistency on object detection.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/&text=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/&t=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions&body=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/&title=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions%20https://ssl.cs.luc.edu/publication/tung-large-scale-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/&title=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/207 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Computer vision relies on labeled datasets for training and evaluation in detecting and recognizing objects. The popular computer vision program, YOLO ("You Only Look Once"), has been shown to accurately detect objects in many major image datasets. However, the images found in those datasets, are independent of one another and cannot be used to test YOLO&rsquo;s consistency at detecting the same object as its environment (e.g. ambient lighting) changes. This paper describes a novel effort to evaluate YOLO&rsquo;s consistency for large-scale applications. It does so by working (a) at large scale and (b) by using consecutive images from a curated network of public video cameras deployed in a variety of real-world situations, including traf?c intersections, national parks, shopping malls, university campuses, etc. We speci?cally examine YOLO&rsquo;s ability to detect objects in different scenarios (e.g., daytime vs. night), leveraging the cameras&rsquo; ability to rapidly retrieve many successive images for evaluating detection consistency. Using our camera network and advanced computing resources (supercomputers), we analyzedmorethan5millionimagescapturedby140network cameras in 24 hours. Compared with labels marked by humans (considered as "ground truth"), YOLO struggles to consistently detect the same humans and cars as their positions change from one frame to the next; it also struggles to detect objects at night time. Our ?ndings suggest that state-of-the art vision solutions should be trained by data from network camera with contextual information before they can be deployed in applications that demand high consistency on object detection.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/&amp;text=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/&amp;t=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions&amp;body=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/&amp;title=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions%20https://ssl.cs.luc.edu/publication/tung-large-scale-2019/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/tung-large-scale-2019/&amp;title=Large-Scale%20Object%20Detection%20of%20Images%20from%20Network%20Cameras%20in%20Variable%20Ambient%20Lighting%20Conditions" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. 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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Why Accuracy Is Not Enough: The Need for Consistency in Object Detection</h1><div class=article-metadata><div><span><a href=/author/caleb-tung/>Caleb Tung</a></span>, <span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/fischer-bordwell/>Fischer Bordwell</a></span>, <span><a href=/author/nick-john-eliopoulos/>Nick John Eliopoulos</a></span>, <span><a href=/author/xiao-hu/>Xiao Hu</a></span>, <span><a href=/author/george-k-thiruvathukal/>George K Thiruvathukal</a></span>, <span><a href=/author/yung-hsiang-lu/>Yung-Hsiang Lu</a></span></div><span class=article-date>January 2022</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/tung-why-2022-1/cite.bib>Cite</a>
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Despite extensive testing before deployment, AV systems are not perfect at identifying hazards in the roadway. Although a particular AV’s sensors and software may not be 100% accurate at identifying hazards, there is an untapped pool of information held by other AVs in the vicinity that could be used to quickly and accurately identify roadway hazards before they present a safety threat."}</script><title>Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=40caac2240089f17ba651e4b581f2d67><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
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-<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3508396.3517075 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing before deployment, AV systems are not perfect at identifying hazards in the roadway. Although a particular AV’s sensors and software may not be 100% accurate at identifying hazards, there is an untapped pool of information held by other AVs in the vicinity that could be used to quickly and accurately identify roadway hazards before they present a safety threat.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/&text=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/&t=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach&body=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/&title=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach%20https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/&title=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3508396.3517075 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing before deployment, AV systems are not perfect at identifying hazards in the roadway. Although a particular AV’s sensors and software may not be 100% accurate at identifying hazards, there is an untapped pool of information held by other AVs in the vicinity that could be used to quickly and accurately identify roadway hazards before they present a safety threat.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/&amp;text=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/&amp;t=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach&amp;body=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/&amp;title=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach%20https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022-1/&amp;title=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach</h1><div class=article-metadata><div><span><a href=/author/jakob-veselsky/>Jakob Veselsky</a></span>, <span><a href=/author/jack-west/>Jack West</a></span>, <span><a href=/author/isaac-ahlgren/>Isaac Ahlgren</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/neil-klingensmith/>Neil Klingensmith</a></span>, <span><a href=/author/abhinav-goel/>Abhinav Goel</a></span>, <span><a href=/author/wenxin-jiang/>Wenxin Jiang</a></span>, <span><a href=/author/james-c.-davis/>James C. Davis</a></span>, <span><a href=/author/kyuin-lee/>Kyuin Lee</a></span>, <span><a href=/author/younghyun-kim/>Younghyun Kim</a></span></div><span class=article-date>January 2022</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/veselsky-establishing-2022/cite.bib>Cite</a>
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-<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3508396.3517075 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing before deployment, AV systems are not perfect at identifying hazards in the roadway. Although a particular AV’s sensors and software may not be 100 percent accurate at identifying hazards, there is an untapped pool of information held by other AVs in the vicinity that could be used to quickly and accurately identify roadway hazards before they present a safety threat.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/&text=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/&t=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach&body=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/&title=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach%20https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/&title=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1145/3508396.3517075 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing before deployment, AV systems are not perfect at identifying hazards in the roadway. Although a particular AV’s sensors and software may not be 100 percent accurate at identifying hazards, there is an untapped pool of information held by other AVs in the vicinity that could be used to quickly and accurately identify roadway hazards before they present a safety threat.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/&amp;text=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/&amp;t=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach&amp;body=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/&amp;title=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach%20https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/veselsky-establishing-2022/&amp;title=Establishing%20Trust%20in%20Vehicle-to-Vehicle%20Coordination:%20A%20Sensor%20Fusion%20Approach" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <!doctype html><html lang=en-us><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=generator content="Wowchemy 5.6.0 for Hugo"><meta name=description content="We present FLIC, a distributed software data caching framework for fogs that reduces network traffic and latency. FLIC is targeted toward city-scale deployments of cooperative IoT devices in which each node gathers and shares data with surrounding devices. As machine learning and other data processing techniques that require large volumes of training data are ported to low-cost and low-power IoT systems, we expect that data analysis will be moved away from the cloud. Separation from the cloud will reduce reliance on power-hungry centralized cloud-based infrastructure. However, city-scale deployments of cooperative IoT devices often connect to the Internet with cellular service, in which service charges are proportional to network usage. IoT system architects must be clever in order to keep costs down in these scenarios. To reduce the network bandwidth required to operate city-scale deployments of cooperative IoT systems, FLIC implements a distributed cache on the IoT nodes in the fog. FLIC allows the IoT network to share its data without repetitively interacting with a simple cloud storage service, reducing calls out to a backing store. Our results displayed a less than 2% miss rate on reads. Thus, allowing for only 5% of requests needing the backing store. 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FLIC is targeted toward city-scale deployments of cooperative IoT devices in which each node gathers and shares data with surrounding devices. As machine learning and other data processing techniques that require large volumes of training data are ported to low-cost and low-power IoT systems, we expect that data analysis will be moved away from the cloud. Separation from the cloud will reduce reliance on power-hungry centralized cloud-based infrastructure. However, city-scale deployments of cooperative IoT devices often connect to the Internet with cellular service, in which service charges are proportional to network usage. IoT system architects must be clever in order to keep costs down in these scenarios. To reduce the network bandwidth required to operate city-scale deployments of cooperative IoT systems, FLIC implements a distributed cache on the IoT nodes in the fog. FLIC allows the IoT network to share its data without repetitively interacting with a simple cloud storage service, reducing calls out to a backing store. Our results displayed a less than 2% miss rate on reads. Thus, allowing for only 5% of requests needing the backing store. 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FLIC is targeted toward city-scale deployments of cooperative IoT devices in which each node gathers and shares data with surrounding devices. As machine learning and other data processing techniques that require large volumes of training data are ported to low-cost and low-power IoT systems, we expect that data analysis will be moved away from the cloud. Separation from the cloud will reduce reliance on power-hungry centralized cloud-based infrastructure. However, city-scale deployments of cooperative IoT devices often connect to the Internet with cellular service, in which service charges are proportional to network usage. IoT system architects must be clever in order to keep costs down in these scenarios. To reduce the network bandwidth required to operate city-scale deployments of cooperative IoT systems, FLIC implements a distributed cache on the IoT nodes in the fog. FLIC allows the IoT network to share its data without repetitively interacting with a simple cloud storage service, reducing calls out to a backing store. Our results displayed a less than 2% miss rate on reads. Thus, allowing for only 5% of requests needing the backing store. We were also able to achieve more than 50% reduction in bytes transmitted per second."}</script><title>FLIC: A Distributed Fog Cache for City-Scale Applications | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=47bf0beab44920e487766eb065a74f36><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>FLIC: A Distributed Fog Cache for City-Scale Applications</h1><div class=article-metadata><div><span><a href=/author/jack-west/>Jack West</a></span>, <span><a href=/author/neil-klingensmith/>Neil Klingensmith</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span></div><span class=article-date>April 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/west-flic-2020/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.1109/ICFC49376.2020.00019 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/243 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>We present FLIC, a distributed software data caching framework for fogs that reduces network traffic and latency. FLIC is targeted toward city-scale deployments of cooperative IoT devices in which each node gathers and shares data with surrounding devices. As machine learning and other data processing techniques that require large volumes of training data are ported to low-cost and low-power IoT systems, we expect that data analysis will be moved away from the cloud. Separation from the cloud will reduce reliance on power-hungry centralized cloud-based infrastructure. However, city-scale deployments of cooperative IoT devices often connect to the Internet with cellular service, in which service charges are proportional to network usage. IoT system architects must be clever in order to keep costs down in these scenarios. To reduce the network bandwidth required to operate city-scale deployments of cooperative IoT systems, FLIC implements a distributed cache on the IoT nodes in the fog. FLIC allows the IoT network to share its data without repetitively interacting with a simple cloud storage service, reducing calls out to a backing store. Our results displayed a less than 2% miss rate on reads. Thus, allowing for only 5% of requests needing the backing store. We were also able to achieve more than 50% reduction in bytes transmitted per second.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2020 IEEE International Conference on Fog Computing (ICFC)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/west-flic-2020/&text=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/west-flic-2020/&t=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications&body=https://ssl.cs.luc.edu/publication/west-flic-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/west-flic-2020/&title=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications%20https://ssl.cs.luc.edu/publication/west-flic-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/west-flic-2020/&title=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=http://ecommons.luc.edu/cs_facpubs/243 target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>We present FLIC, a distributed software data caching framework for fogs that reduces network traffic and latency. FLIC is targeted toward city-scale deployments of cooperative IoT devices in which each node gathers and shares data with surrounding devices. As machine learning and other data processing techniques that require large volumes of training data are ported to low-cost and low-power IoT systems, we expect that data analysis will be moved away from the cloud. Separation from the cloud will reduce reliance on power-hungry centralized cloud-based infrastructure. However, city-scale deployments of cooperative IoT devices often connect to the Internet with cellular service, in which service charges are proportional to network usage. IoT system architects must be clever in order to keep costs down in these scenarios. To reduce the network bandwidth required to operate city-scale deployments of cooperative IoT systems, FLIC implements a distributed cache on the IoT nodes in the fog. FLIC allows the IoT network to share its data without repetitively interacting with a simple cloud storage service, reducing calls out to a backing store. Our results displayed a less than 2% miss rate on reads. Thus, allowing for only 5% of requests needing the backing store. We were also able to achieve more than 50% reduction in bytes transmitted per second.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>2020 IEEE International Conference on Fog Computing (ICFC)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/west-flic-2020/&amp;text=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/west-flic-2020/&amp;t=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications&amp;body=https://ssl.cs.luc.edu/publication/west-flic-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/west-flic-2020/&amp;title=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications%20https://ssl.cs.luc.edu/publication/west-flic-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/west-flic-2020/&amp;title=FLIC:%20A%20Distributed%20Fog%20Cache%20for%20City-Scale%20Applications" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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Using only mild assumptions about the source process's characteristics, we demonstrate that commonly-used bit extraction algorithms extract only about 10% of the available randomness from a source noise process. We present an efficient algorithm to improve the quality of keys generated by context-based methods and evaluate it on real key extraction hardware. Moonshine is a randomness distiller which is more efficient at extracting bits from an environmental entropy source than existing methods. Our techniques nearly double the quality of keys as measured by the NIST test suite, producing keys that can be used in real-world authentication scenarios."><link rel=alternate hreflang=en-us href=https://ssl.cs.luc.edu/publication/west-moonshine-2021/><meta name=theme-color content="#1565c0"><link rel=stylesheet href=/css/vendor-bundle.min.c7b8d9abd591ba2253ea42747e3ac3f5.css media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/academicons@1.9.1/css/academicons.min.css integrity="sha512-W0xM4mr6dEP9nREo7Z9z+9X70wytKvMGeDsj7ps2+xg5QPrEBXC8tAW1IFnzjR6eoJ90JmCnFzerQJTLzIEHjA==" crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/leaflet@1.7.1/dist/leaflet.min.css integrity crossorigin=anonymous media=print onload='this.media="all"'><link rel=stylesheet href=/css/wowchemy.5707bae28a49ccd4e72ceb69e62e6fe1.css><link rel=stylesheet href=/css/libs/chroma/github-light.min.css title=hl-light media=print onload='this.media="all"'><link rel=stylesheet href=/css/libs/chroma/dracula.min.css title=hl-dark media=print onload='this.media="all"' disabled><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_32x32_fill_lanczos_center_3.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_180x180_fill_lanczos_center_3.png><link rel=canonical href=https://ssl.cs.luc.edu/publication/west-moonshine-2021/><meta property="twitter:card" content="summary"><meta property="og:site_name" content="Software and Systems Laboratory"><meta property="og:url" content="https://ssl.cs.luc.edu/publication/west-moonshine-2021/"><meta property="og:title" content="Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication | Software and Systems Laboratory"><meta property="og:description" content="Context-based authentication is a method for transparently validating another device's legitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no user involvement. However, there are gaps in our understanding of the theoretical limitations of environmental noise harvesting, making it difficult for researchers to build efficient algorithms for sampling environmental noise and distilling keys from that noise. This work explores the information-theoretic capacity of context-based authentication mechanisms to generate random bit strings from environmental noise sources with known properties. Using only mild assumptions about the source process's characteristics, we demonstrate that commonly-used bit extraction algorithms extract only about 10% of the available randomness from a source noise process. We present an efficient algorithm to improve the quality of keys generated by context-based methods and evaluate it on real key extraction hardware. Moonshine is a randomness distiller which is more efficient at extracting bits from an environmental entropy source than existing methods. Our techniques nearly double the quality of keys as measured by the NIST test suite, producing keys that can be used in real-world authentication scenarios."><meta property="og:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="twitter:image" content="https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_512x512_fill_lanczos_center_3.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2023-02-09T18:57:30+00:00"><meta property="article:modified_time" content="2023-02-09T12:57:30-06:00"><script type=application/ld+json>{"@context":"https://schema.org","@type":"Article","mainEntityOfPage":{"@type":"WebPage","@id":"https://ssl.cs.luc.edu/publication/west-moonshine-2021/"},"headline":"Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication","datePublished":"2023-02-09T18:57:30Z","dateModified":"2023-02-09T12:57:30-06:00","author":{"@type":"Person","name":"Jack West"},"publisher":{"@type":"Organization","name":"Software and Systems Laboratory","logo":{"@type":"ImageObject","url":"https://ssl.cs.luc.edu/media/icon_hu834f22568120c23c98d5cb9d678fd2e3_93529_192x192_fill_lanczos_center_3.png"}},"description":"Context-based authentication is a method for transparently validating another device's legitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no user involvement. However, there are gaps in our understanding of the theoretical limitations of environmental noise harvesting, making it difficult for researchers to build efficient algorithms for sampling environmental noise and distilling keys from that noise. This work explores the information-theoretic capacity of context-based authentication mechanisms to generate random bit strings from environmental noise sources with known properties. Using only mild assumptions about the source process's characteristics, we demonstrate that commonly-used bit extraction algorithms extract only about 10% of the available randomness from a source noise process. We present an efficient algorithm to improve the quality of keys generated by context-based methods and evaluate it on real key extraction hardware. Moonshine is a randomness distiller which is more efficient at extracting bits from an environmental entropy source than existing methods. Our techniques nearly double the quality of keys as measured by the NIST test suite, producing keys that can be used in real-world authentication scenarios."}</script><title>Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication | Software and Systems Laboratory</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=ec8ca5b4d642e0825823abdc29000088><script src=/js/wowchemy-init.min.1ee5462d74c6c0de1f8881b384ecc58d.js></script><aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class=page-header><header class=header--fixed><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication</h1><div class=article-metadata><div><span><a href=/author/jack-west/>Jack West</a></span>, <span><a href=/author/kyuin-lee/>Kyuin Lee</a></span>, <span><a href=/author/suman-banerjee/>Suman Banerjee</a></span>, <span><a href=/author/younghyun-kim/>Younghyun Kim</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/neil-klingensmith/>Neil Klingensmith</a></span></div><span class=article-date>January 2021</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/west-moonshine-2021/cite.bib>Cite</a>
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-<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/270/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Context-based authentication is a method for transparently validating another device&rsquo;s legitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no user involvement. However, there are gaps in our understanding of the theoretical limitations of environmental noise harvesting, making it difficult for researchers to build efficient algorithms for sampling environmental noise and distilling keys from that noise. This work explores the information-theoretic capacity of context-based authentication mechanisms to generate random bit strings from environmental noise sources with known properties. Using only mild assumptions about the source process&rsquo;s characteristics, we demonstrate that commonly-used bit extraction algorithms extract only about 10% of the available randomness from a source noise process. We present an efficient algorithm to improve the quality of keys generated by context-based methods and evaluate it on real key extraction hardware. Moonshine is a randomness distiller which is more efficient at extracting bits from an environmental entropy source than existing methods. Our techniques nearly double the quality of keys as measured by the NIST test suite, producing keys that can be used in real-world authentication scenarios.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Information Processing in Sensor Networks 2021 (IPSN 2021)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/west-moonshine-2021/&text=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/west-moonshine-2021/&t=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication&body=https://ssl.cs.luc.edu/publication/west-moonshine-2021/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/west-moonshine-2021/&title=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication%20https://ssl.cs.luc.edu/publication/west-moonshine-2021/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/west-moonshine-2021/&title=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://ecommons.luc.edu/cs_facpubs/270/ target=_blank rel=noopener>URL</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Context-based authentication is a method for transparently validating another device&rsquo;s legitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no user involvement. However, there are gaps in our understanding of the theoretical limitations of environmental noise harvesting, making it difficult for researchers to build efficient algorithms for sampling environmental noise and distilling keys from that noise. This work explores the information-theoretic capacity of context-based authentication mechanisms to generate random bit strings from environmental noise sources with known properties. Using only mild assumptions about the source process&rsquo;s characteristics, we demonstrate that commonly-used bit extraction algorithms extract only about 10% of the available randomness from a source noise process. We present an efficient algorithm to improve the quality of keys generated by context-based methods and evaluate it on real key extraction hardware. Moonshine is a randomness distiller which is more efficient at extracting bits from an environmental entropy source than existing methods. Our techniques nearly double the quality of keys as measured by the NIST test suite, producing keys that can be used in real-world authentication scenarios.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Information Processing in Sensor Networks 2021 (IPSN 2021)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/west-moonshine-2021/&amp;text=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/west-moonshine-2021/&amp;t=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication&amp;body=https://ssl.cs.luc.edu/publication/west-moonshine-2021/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/west-moonshine-2021/&amp;title=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication%20https://ssl.cs.luc.edu/publication/west-moonshine-2021/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/west-moonshine-2021/&amp;title=Moonshine:%20An%20Online%20Randomness%20Distiller%20for%20Zero-Involvement%20Authentication" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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-<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract)</h1><div class=article-metadata><div><span><a href=/author/jack-west/>Jack West</a></span>, <span><a href=/author/tien-vonguyen/>Tien VoNguyen</a></span>, <span><a href=/author/isaac-ahlgren/>Isaac Ahlgren</a></span>, <span><a href=/author/iryna-motyashok/>Iryna Motyashok</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/neil-klingensmith/>Neil Klingensmith</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/west-voltkey-2020/cite.bib>Cite</a></div></div><div class=article-container><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/west-voltkey-2020/&text=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/west-voltkey-2020/&t=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29&body=https://ssl.cs.luc.edu/publication/west-voltkey-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/west-voltkey-2020/&title=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29%20https://ssl.cs.luc.edu/publication/west-voltkey-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/west-voltkey-2020/&title=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract)</h1><div class=article-metadata><div><span><a href=/author/jack-west/>Jack West</a></span>, <span><a href=/author/tien-vonguyen/>Tien VoNguyen</a></span>, <span><a href=/author/isaac-ahlgren/>Isaac Ahlgren</a></span>, <span><a href=/author/iryna-motyashok/>Iryna Motyashok</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/neil-klingensmith/>Neil Klingensmith</a></span></div><span class=article-date>January 2020</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/west-voltkey-2020/cite.bib>Cite</a></div></div><div class=article-container><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/west-voltkey-2020/&amp;text=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/west-voltkey-2020/&amp;t=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29&amp;body=https://ssl.cs.luc.edu/publication/west-voltkey-2020/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/west-voltkey-2020/&amp;title=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29%20https://ssl.cs.luc.edu/publication/west-voltkey-2020/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/west-voltkey-2020/&amp;title=VoltKey:%20Using%20Power%20Line%20Noise%20for%20Zero-Involvement%20Pairing%20and%20Authentication%20%28Demo%20Abstract%29" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps</h1><div class=article-metadata><div><span><a href=/author/yucheng-yang/>Yucheng Yang</a></span>, <span><a href=/author/jack-west/>Jack West</a></span>, <span><a href=/author/george-k.-thiruvathukal/>George K. Thiruvathukal</a></span>, <span><a href=/author/neil-klingensmith/>Neil Klingensmith</a></span>, <span><a href=/author/kassem-fawaz/>Kassem Fawaz</a></span></div><span class=article-date>January 2022</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/yang-are-2022/cite.bib>Cite</a>
 <a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.48550/ARXIV.2204.06128 target=_blank rel=noopener>DOI</a>
-<a class="btn btn-outline-primary btn-page-header" href=https://arxiv.org/abs/2204.06128 target=_blank rel=noopener>URL</a></div></div><div class=article-container><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of 22nd Privacy Enhancing Technologies Symposium (PETS 2022)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/yang-are-2022/&text=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/yang-are-2022/&t=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps&body=https://ssl.cs.luc.edu/publication/yang-are-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/yang-are-2022/&title=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps%20https://ssl.cs.luc.edu/publication/yang-are-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/yang-are-2022/&title=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
+<a class="btn btn-outline-primary btn-page-header" href=https://arxiv.org/abs/2204.06128 target=_blank rel=noopener>URL</a></div></div><div class=article-container><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#1>Conference paper</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Proceedings of 22nd Privacy Enhancing Technologies Symposium (PETS 2022)</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https://ssl.cs.luc.edu/publication/yang-are-2022/&amp;text=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https://ssl.cs.luc.edu/publication/yang-are-2022/&amp;t=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps&amp;body=https://ssl.cs.luc.edu/publication/yang-are-2022/" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https://ssl.cs.luc.edu/publication/yang-are-2022/&amp;title=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps" target=_blank rel=noopener class=share-btn-linkedin aria-label=linkedin-in><i class="fab fa-linkedin-in"></i></a></li><li><a href="whatsapp://send?text=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps%20https://ssl.cs.luc.edu/publication/yang-are-2022/" target=_blank rel=noopener class=share-btn-whatsapp aria-label=whatsapp><i class="fab fa-whatsapp"></i></a></li><li><a href="https://service.weibo.com/share/share.php?url=https://ssl.cs.luc.edu/publication/yang-are-2022/&amp;title=Are%20You%20Really%20Muted?:%20A%20Privacy%20Analysis%20of%20Mute%20Buttons%20in%20Video%20Conferencing%20Apps" target=_blank rel=noopener class=share-btn-weibo aria-label=weibo><i class="fab fa-weibo"></i></a></li></ul></div></div></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/publication_types/index.html b/publication_types/index.html
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diff --git a/tag/ip-networks/index.html b/tag/ip-networks/index.html
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diff --git a/tag/machine-learning/index.html b/tag/machine-learning/index.html
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diff --git a/tag/model-hubs/index.html b/tag/model-hubs/index.html
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diff --git a/tag/network-cameras/index.html b/tag/network-cameras/index.html
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diff --git a/tag/real-time-systems/index.html b/tag/real-time-systems/index.html
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diff --git a/tag/software-reuse/index.html b/tag/software-reuse/index.html
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diff --git a/tag/software-supply-chain/index.html b/tag/software-supply-chain/index.html
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diff --git a/tag/streaming-media/index.html b/tag/streaming-media/index.html
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\ No newline at end of file
diff --git a/tag/urban-areas/index.html b/tag/urban-areas/index.html
index a87c8b5..bfc4e3a 100644
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+++ b/tag/urban-areas/index.html
@@ -4,7 +4,7 @@
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diff --git a/tag/visualization/index.html b/tag/visualization/index.html
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diff --git a/tags/index.html b/tags/index.html
index 772dec2..269607b 100644
--- a/tags/index.html
+++ b/tags/index.html
@@ -2,7 +2,7 @@
 <span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Software and Systems Laboratory</a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav></header></div><div class=page-body><div class="universal-wrapper pt-3"><h1>Tags</h1></div><div class=universal-wrapper><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/deep-neural-networks/>Deep neural networks</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/empirical-software-engineering/>Empirical software engineering</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/machine-learning/>Machine learning</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/model-hubs/>Model hubs</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/software-reuse/>Software reuse</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/software-supply-chain/>Software supply chain</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/cameras/>Cameras</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/internet/>Internet</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/ip-networks/>Ip networks</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><div class="media stream-item view-compact"><div class=media-body><div class="section-subheading article-title mb-0 mt-0"><a href=/tag/network-cameras/>Network cameras</a></div><div class="stream-meta article-metadata"><div class=article-metadata><span class=article-date>Feb 9, 2023</span></div></div></div><div class=ml-3></div></div><nav class=mt-1><ul class="pagination justify-content-center"><li class=page-item><a class=page-link href=/tags/page/2/>&#187;</a></li></ul></nav></div></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2023 Software and Systems Laboratory. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative Commons"><i class="fab fa-creative-commons fa-2x" aria-hidden=true></i>
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diff --git a/tags/page/2/index.html b/tags/page/2/index.html
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