Add OpenAI RAN program updates

open-ai-ran-2024/_pages/program.html

@@ -46,18 +46,19 @@ <h3>Opening Remarks</h3><br>
                     <td style="vertical-align:text-top;">8:45 - 9:00 &nbsp; &nbsp; </td>
                     <td style="vertical-align:text-top;">
                         <ul>
-                            <h3>Introduction to O-RAN nGRG</h3>
+                            <h3>Invited Talk</h3>
+                            <h4>Introduction to O-RAN nGRG</h4>
 
 
                             <figure style="float: left; margin: 10px; text-align: center;" >  
-                                    <!-- <img src="assets/images/acm.jpg" class="img-responsive" align="center" width="150px"> -->
+                                    <img src="assets/images/qingtian.jpg" class="img-responsive" align="center" width="150px">
                                     <figcaption style="text-align: center"><b><a href="#">Qingtian Wang </a><br> <font size="2">China Telecom Research Institute</font></b></figcaption>
                                 </figure>
 
 <!--                             <img src="assets/images/vikram.jpg" class="img-responsive" align="left" width="150px">
                             <h5><a href="https://homes.cs.washington.edu/~vsiyer/">Vikram Iyer</a> <br>(University of Washington - Seattle)<br></h5> -->
-                            <!-- <font size="2"><b>Abstract:</b> TBD</font><br>
-                            <font size="2"><b>Bio:</b> TBD -->
+                            <font size="2"><b>Abstract: </b> In this talk, we will provide an overview of the next Generation Research Group (nGRG) at the O-RAN ALLIANCE.</font><br>
+                            <font size="2"><b>Bio:</b> Qingtian Wang is a Senior Research Engineer with the Wireless AI System Research Team (Wistar) at China Telecom Research Institute in Beijing, China. He received his Ph.D. from the Beijing University of Posts and Telecommunications (BUPT). He currently serves as the co-chair of the next Generation Research Group (nGRG) at O-RAN.
 </font><br>
 
 
@@ -85,7 +86,9 @@ <h4>AI-enabled multi-operator orchestration of open 5G/NextG networks (INDIGO) p
 <!--                             <img src="assets/images/vikram.jpg" class="img-responsive" align="left" width="150px">
             <h5><a href="https://homes.cs.washington.edu/~vsiyer/">Vikram Iyer</a> <br>(University of Washington - Seattle)<br></h5> -->
             <font size="2"><b>Abstract:</b>  The INDIGO (Intelligent “All G” Networks Designed and Integrated for Globalized Operations) project, part of NSF’s Convergence Accelerator Track G program, seeks to enhance the adaptability, security, and resilience of 5G/xG networks for public safety and peacekeeping missions. This effort integrates Human-Centered AI for multi-operator network orchestration, particularly in scenarios requiring rapid deployment, such as natural disasters or defense situations. INDIGO leverages open standards, including O-RAN, 3GPP, and TMF, along with interoperable platforms, to enable adaptive network management and service restoration across diverse operator networks. The INDIGO prototyping effort relies upon COSMOS, an indoor/outdoor city-scale testbed established as part of the NSF PAWR initiative that is now being augmented via the NTIA PWSCIF ACCoRD project.</font><br>
-            <font size="2"><b>Bio:</b> TBD
+            <font size="2"><b>Bio:</b> Tracy van Brakle is a Member of Technical Staff within AT&T Labs Wireless Technologies / Network Automation and Analytics group, and is also a co-chair and/or contributor within several open source projects and standards development organizations. Her current area of interest is integrating Open RAN technologies with open platforms, e.g., LFN 5G SBP, ETSI NFV MANO, using model-driven interface specifications from O-RAN and 3GPP. Before joining AT&T, Tracy was a Senior Technologist with Goldman Sachs. She holds 17 active US patents in Wireless Technologies.
+
+                Focus area: Meeting functional and security requirements of military missions and civilian first responder teams in near real-time through a system-of-systems/network-of-networks (JADC2) approach across (1) Planning and Composition, (2) Interoperability, and (3) Execution. This integrates a novel Artificial Intelligence Planner with an open-source Service Management & Orchestration Framework and RAN Intelligent Controllers.
 </font><br>
 
 
@@ -545,7 +548,8 @@ <h3>Invited Demos</h3>
     <td>
         <ul>
             <b><a href="#">NextG RAN Intelligent Control: Real-Time AI-Driven Resource Scheduling for System Throughput Optimization</a></b><br>
-            <font size="2"> Woo-Hyun Ko (Texas A&M University) Ushasi Ghosh (University of California San Diego) Ujwal Dinesha (Texas A&M University) Raini Wu (University of California San Diego) Srinivas Shakkottai (Texas A&M University) Dinesh Bharadia (University of California San Diego) </font><br>
+            <font size="2"> Woo-Hyun Ko  (Texas A&M University), Ushasi Ghosh (UCSD), Bhavya S. Nukapotula (Texas A&M University), Archana Bura (UCSD), Dinesh Bharadia (UCSD) and Srinivas Shakkottai (Texas A&M University)
+                 </font><br>
         </ul>
     </td>
 </tr>