Panel

Dinesh Manocha is a Distinguished University Professor at the University of Maryland and Paul Chrisman Iribe Professor of Computer Science and Electrical and Computer Engineering. Dr. Manocha received his Ph.D. in computer science from the University of California, Berkeley, in 1992. He received his B. Tech. in computer science and engineering from the Indian Institute of Technology in Delhi, India, in 1987. His research focuses on AI, robotics, computer graphics, augmented/virtual reality, and scientific computing. He is a Fellow of AAAI, AAAS, ACM, IEEE, NAI and Sloan Foundation. He is a member of ACM SIGGRAPH and IEEE VR Academies, and a recipient of the Bézier Award and Jimmy H. C. Lin Award.

Dr. Manocha has published more than 800 papers and is an inventor of 17 patents. He has won many awards, including Alfred P. Sloan Research Fellow, the NSF Career Award, the ONR Young Investigator Award, Google Faculty Awards, Facebook Faculty Awards, and the Hettleman Prize for scholarly achievement. His group has developed several packages for multi-agent simulation, GPU computing, and physics-based simulation, which are widely used in the industry. He received the Distinguished Alumni Award from IIT Delhi and the Distinguished Career in Computer Science Award from Washington Academy of Sciences. He was also the co-founder of Impulsonic and Inception Robotics, Inc.

Walid Saad is currently a Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network intElligence, Wireless, and Security (NEWS) laboratory. Dr. Saad received his Ph.D degree from the University of Oslo, Norway in 2010. His research interests include wireless networks (5G/6G/beyond), machine learning, quantum communication networks, game theory, security, UAVs, semantic communications, cyber-physical systems, and network science. Dr. Saad is a Fellow of the IEEE. Dr. Saad is the recipient of the NSF CAREER award, AFOSR summer faculty fellowship and ONR Young Investigator Award. He was the (co-)author of twelve conference best paper awards, and has received several awards the IEEE Communications Society, including the Marcon Prize Paper Award in 2023, the Advances in Communications Award in 2023, and the Fred W. Ellersick Prize in 2015 and 2022. He received the Dean’s award for Research Excellence from Virginia Tech in 2019. He was also an IEEE Distinguished Lecturer in 2019-2020.  He currently serves as the Editor-in-Chief for the IEEE Transactions on Machine Learning in Communications and Networking. 

Adrienne Raglin is an Electronics Engineer with the U.S. Army DEVCOM, Army Research Laboratory in the Computational and Information Sciences Directorate, Information Sciences Division. Dr. Raglin received her Ph.D. from Howard University in Electrical Engineering in 2003., M.S. and B.S. in Electrical Engineering from Georgia Institute of Technology, B.S. in Computer Science from Spelman College. Her scientific interest includes image processing, Internet of Things (IoT), uncertainty of information, human information interaction, and artificial reasoning. She collaborates with academics, industry, and other organizations conducting AI related research that focuses on the complexities and challenges of decisions making and intelligent

Yiran Chen is currently the John Cocke Distinguished Professor of Electrical and Computer Engineering at Duke University. He received his B.S. in 1998 and M.S. in 2001 from Tsinghua University, and his Ph.D. in 2005 from Purdue University. He is the director of the NSF AI Institute for Edge Computing Leveraging Next-generation Networks (Athena) as well as the NSF IUCRC for Alternative Sustainable and Intelligent Computing (ASIC), and co-director of the Duke Center for Computational Evolutionary Intelligence (DCEI). His group’s research focuses on new memory and storage systems, machine learning and neuromorphic computing systems, and mobile computing. He is a Fellow of the AAAS, ACM, IEEE, and NAI.

Dr. Chen has published one book and more than 600 technical publications and has been granted 96 US patents. He has been honored with 15 paper awards, including two test-of-time awards and has received numerous awards for his technical contributions and professional services. He was the Editor-in-Chief of the IEEE Circuits and Systems Magazine from 2020 to 2023 and is the inaugural Editor-in-Chief of the IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI). Dr. Chen has served as Chairman of the Board, Independent Director, and in other consultancy roles for several startups. Dr. Chen is a fervent advocate for the responsible use of AI technologies and champions academic belonging, openness, freedom, and equality. He is a founding member of the steering committee of the Academic Alliance on AI Policy (AAAIP) and a fellow of the Asian American Scholar Forum (AASF).

Tarek Abdelzaher is currently a Professor and Willett Faculty Scholar at the Department of Computer Science, the University of Illinois at Urbana Champaign. He received his Ph.D. in Computer Science from the University of Michigan in 1999. Dr. Abdelzaher’s research interests lie broadly in understanding and influencing performance and temporal properties of networked embedded, social, and software systems in the face of increasing complexity, distribution, and degree of interaction with an external physical environment. He is a fellow of IEEE and ACM. Dr. Abdelzaher has authored/coauthored more than 400 refereed publications in real-time computing, CPS/IoT, distributed systems, intelligent networked sensing, machine learning, and control. He has served on Editorial Broad (as Editor-in-Chief or Associate Editor) of several journals and chaired (as Program or General Chair) several conferences in his area including RTAS, RTSS, IPSN, Sensys, DCoSS, ICDCS, Infocom, and ICAC. He is a recipient of the IEEE Outstanding Technical Achievement and Leadership Award in Real-time Systems (2012), the Xerox Award for Faculty Research (2011), as well as several best paper awards.

Gurdip Singh is the panel chair and is the Divisional Dean for the School of Computing at George Mason University. He was previously Division Director for Computer and Network Systems in the CISE Directorate at National Science Foundation. He has also served as Associate Dean for Research and Graduate Programs of the College of Engineering and Computer Science at Syracuse University and as Department Head of Computer Science at Kansas State University. Dr. Singh earned his MS and PhD degrees in Computer Science from SUNY, Stony Brook in 1989 and 1991 respectively, and his B. Tech degree in Computer Science and Engineering from IIT Delhi in 1986. His research and teaching interests include real-time embedded systems, sensor networks, network protocols and distributed computing.