Update publications.html

nikitrian · Aug 14, 2024 · 7acde32 · 7acde32
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-          <li>• <strong>Triantafyllou, N.</strong>, & Papathanasiou, M. M. (2024). <a href="https://www.sciencedirect.com/science/article/pii/S0098135424001431" target="_blank" rel="noopener">"Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality."</a> <i>Computers & Chemical Engineering.</i> 187, 108725.</li>
-          <li>• <strong>Triantafyllou, N.</strong>, Lyons, B., Bernardi, A., Chachuat, B., Kontoravdi, C., & Papathanasiou, M. M. (2024). <a href="https://www.sciencedirect.com/science/article/pii/S0098135424002254" target="_blank" rel="noopener">"Comparative assessment of simulation-based and surrogate-based approaches to flowsheet optimization using dimensionality reduction."</a> <i>Computers & Chemical Engineering.</i> 108807.</li>
-          <li>• <strong>Triantafyllou, N.</strong>, Sarkis, M., Krassakopoulou, A., Shah, N., Papathanasiou, M. M., & Kontoravdi, C. (2024). <a href="https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/full/10.1002/biot.202300103" target="_blank" rel="noopener">"Uncertainty quantification for gene delivery methods: A roadmap for pDNA manufacturing from phase I clinical trials to commercialization."</a> <i>Biotechnology Journal.</i> 19(1), 2300103.</li>
-          <li>• <strong>Triantafyllou, N.</strong>, Bernardi, A., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). <a href="https://www.nature.com/articles/s41598-022-21290-5" target="_blank" rel="noopener">"A digital platform for the design of patient-centric supply chains."</a> <i>Nature Scientific Reports.</i> 12, 17365.</li>
-          <li>• Bernardi, A., Sarkis, M., <strong>Triantafyllou, N.</strong>, Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). <a href="https://www.sciencedirect.com/science/article/pii/S0098135421003604" target="_blank" rel="noopener">"Assessment of intermediate storage and distribution nodes in personalised medicine."</a> <i>Computers & Chemical Engineering.</i> 157, 107582.</li>
+          <li>• <strong>Triantafyllou, N.</strong>, & Papathanasiou, M. M. (2024). <a href="https://www.sciencedirect.com/science/article/pii/S0098135424001431" target="_blank" rel="noopener noreferrer">"Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality."</a> <i>Computers & Chemical Engineering.</i> 187, 108725.</li>
+          <li>• <strong>Triantafyllou, N.</strong>, Lyons, B., Bernardi, A., Chachuat, B., Kontoravdi, C., & Papathanasiou, M. M. (2024). <a href="https://www.sciencedirect.com/science/article/pii/S0098135424002254" target="_blank" rel="noopener noreferrer">"Comparative assessment of simulation-based and surrogate-based approaches to flowsheet optimization using dimensionality reduction."</a> <i>Computers & Chemical Engineering.</i> 108807.</li>
+          <li>• <strong>Triantafyllou, N.</strong>, Sarkis, M., Krassakopoulou, A., Shah, N., Papathanasiou, M. M., & Kontoravdi, C. (2024). <a href="https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/full/10.1002/biot.202300103" target="_blank" rel="noopener noreferrer">"Uncertainty quantification for gene delivery methods: A roadmap for pDNA manufacturing from phase I clinical trials to commercialization."</a> <i>Biotechnology Journal.</i> 19(1), 2300103.</li>
+          <li>• <strong>Triantafyllou, N.</strong>, Bernardi, A., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). <a href="https://www.nature.com/articles/s41598-022-21290-5" target="_blank" rel="noopener noreferrer">"A digital platform for the design of patient-centric supply chains."</a> <i>Nature Scientific Reports.</i> 12, 17365.</li>
+          <li>• Bernardi, A., Sarkis, M., <strong>Triantafyllou, N.</strong>, Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). <a href="https://www.sciencedirect.com/science/article/pii/S0098135421003604" target="_blank" rel="noopener noreferrer">"Assessment of intermediate storage and distribution nodes in personalised medicine."</a> <i>Computers & Chemical Engineering.</i> 157, 107582.</li>
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@@ -31,7 +31,7 @@
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-          <li>• <strong>Triantafyllou, N.</strong>,  Sarkis, M., Shah, N., Kontoravdi, C., & Papathanasiou, M. M. (2024). <a href="https://link.springer.com/chapter/10.1007/978-3-031-45669-5_7" rel="noopener">"Integrated Process and Supply Chain Design and Optimization."</a> In <i>Biopharmaceutical Manufacturing: Progress, Trends and Challenges</i>, edited by Ralf Pörtner,  Springer Nature, pp. 213-239.</li>
+          <li>• <strong>Triantafyllou, N.</strong>,  Sarkis, M., Shah, N., Kontoravdi, C., & Papathanasiou, M. M. (2024). <a href="https://link.springer.com/chapter/10.1007/978-3-031-45669-5_7" rel="noopener noreferrer">"Integrated Process and Supply Chain Design and Optimization."</a> In <i>Biopharmaceutical Manufacturing: Progress, Trends and Challenges</i>, edited by Ralf Pörtner,  Springer Nature, pp. 213-239.</li>
         </ul>
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@@ -45,11 +45,11 @@
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         <ul style="list-style-type: none; padding-left: 0;">
-          <li>• <strong>Triantafyllou, N.</strong>, & Papathanasiou, M. M. (2024). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780443288241504592" rel="noopener">"Improved deep learning architectures for the decomposition of mixed integer optimization problems."</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 53, pp. 2749-2754.</li>
-          <li>• <strong>Triantafyllou, N.</strong>, Papaiakovou, S., Bernardi, A., Lakelin, M., Shah, N., Kokossis, A., & Papathanasiou, M. M. (2023). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780443152740502638" rel="noopener">"Machine learning-based decomposition for complex supply chains"</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 52, pp. 1655-1660.</li>
-          <li>• <strong>Triantafyllou, N.</strong>, Shah, N., Papathanasiou, M. M., & Kontoravdi, C. (2023). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780443152740500615" rel="noopener">"Combined Bayesian optimization and global sensitivity analysis for the optimization of simulation-based pharmaceutical processes."</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 52, pp. 381-386.</li>
-          <li>• <strong>Triantafyllou, N.</strong>, Bernardi, A., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780323958790501600" rel="noopener">"Fresh vs frozen: assessing the impact of cryopreservation in personalised medicine"</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 51, pp. 955-960.</li>
-          <li>• <strong>Triantafyllou, N.</strong>, Bernardi, A., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780323851596503663" rel="noopener">"A bi-level decomposition approach for CAR-T cell therapies supply chain optimisation"</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 49, pp. 2197-2202.</li>
+          <li>• <strong>Triantafyllou, N.</strong>, & Papathanasiou, M. M. (2024). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780443288241504592" rel="noopener noreferrer">"Improved deep learning architectures for the decomposition of mixed integer optimization problems."</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 53, pp. 2749-2754.</li>
+          <li>• <strong>Triantafyllou, N.</strong>, Papaiakovou, S., Bernardi, A., Lakelin, M., Shah, N., Kokossis, A., & Papathanasiou, M. M. (2023). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780443152740502638" rel="noopener noreferrer">"Machine learning-based decomposition for complex supply chains"</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 52, pp. 1655-1660.</li>
+          <li>• <strong>Triantafyllou, N.</strong>, Shah, N., Papathanasiou, M. M., & Kontoravdi, C. (2023). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780443152740500615" rel="noopener noreferrer">"Combined Bayesian optimization and global sensitivity analysis for the optimization of simulation-based pharmaceutical processes."</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 52, pp. 381-386.</li>
+          <li>• <strong>Triantafyllou, N.</strong>, Bernardi, A., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780323958790501600" rel="noopener noreferrer">"Fresh vs frozen: assessing the impact of cryopreservation in personalised medicine"</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 51, pp. 955-960.</li>
+          <li>• <strong>Triantafyllou, N.</strong>, Bernardi, A., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). <a href="https://www.sciencedirect.com/science/article/abs/pii/B9780323851596503663" rel="noopener noreferrer">"A bi-level decomposition approach for CAR-T cell therapies supply chain optimisation"</a> In <i>Computer Aided Chemical Engineering</i>, Vol. 49, pp. 2197-2202.</li>
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