Game Theory and Deep Learning

Dr. Lina Bariah received the M.Sc. and Ph.D. degrees in communications engineering from Khalifa University, Abu Dhabi, UAE, in 2015 and 2018, respectively. She was a Visiting Researcher with the Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada, in 2019, and an affiliate research fellow, James Watt School of Engineering, University of Glasgow, UK. She was a Senior Researcher at the technology Innovation institute, and a Lead AI Scientist at Open Innovation AI. She is currently an Adjunct Professor at Khalifa University, and an Adjunct Research Professor, Western University, Canada. Dr. Bariah serves as the Industry Chair for GenAINet ETI. Dr. Bariah is a senior member of the IEEE, IEEE Communications Society, IEEE Vehicular Technology Society, and IEEE Women in Engineering. She is the founder and lead of Women in Machine Learning and Data Science (WiMLDS)-Abu Dhabi Chapter. She was recently listed among the100 Brilliant and Inspiring Women in 6G", by Women in 6G organization. She has authored/co-authored 75+ research papers/book chapters in highly ranked journals and flagship conferences. She is an Editor at IEEE Transactions on Wireless Communications. She was an Associate Editor for the IEEE Communication Letters, an Associate Editor for the IEEE Open Journal of the Communications Society, and an Area Editor for Physical Communication (Elsevier). She is a Guest Editor in IEEE Communication Magazine, IEEE Network Magazine, and IEEE Open Journal of Vehicular Technology.

Hamidou Tembine (born November 4, 1982, in Orsongo, Dogon Country, West Africa) is a French game theorist and researcher specializing in evolutionary games and co-opetitive mean-field-type games. He has been a Global Network Assistant Professor at New York University. He has been also the principal investigator and director of the Game Theory and Learning Laboratory (L&G Lab) at New York University.^[1] Tembine has written about 300 research articles, 5 books, and co-edited 3 books. His research is focused in the areas of auto-regulation, self-regulation, knowledge-based economy and variance minimization of tokens in emerging markets.^[

Mathieu Laurière is an Assistant Professor of Mathematics and Data Science at NYU Shanghai. Prior to joining NYU Shanghai, he was a Postdoctoral Research Associate at Princeton University in the Operations Research and Financial Engineering (ORFE) department. He obtained his MS from Sorbonne University and ENS Paris-Saclay and his PhD from the University of Paris. Before joining Princeton University, he was a Postdoctoral Fellow at the NYU-ECNU Institute of Mathematical Sciences at NYU Shanghai. Most recently, Mathieu was a Visiting Faculty Researcher at Google Brain, for the Brain Team (Paris).

Quanyan Zhu received B. Eng. in Honors Electrical Engineering from McGill University in 2006, M. A. Sc. from the University of Toronto in 2008, and Ph.D. from the University of Illinois at Urbana-Champaign (UIUC) in 2013. After stints at Princeton University, he is currently an associate professor at the Department of Electrical and Computer Engineering, New York University (NYU). He is an affiliated faculty member of the Center for Urban Science and Progress (CUSP) and Center for Cyber Security (CCS) at NYU. He is a recipient of many awards, including NSF CAREER Award and INFORMS Koopman Prize. He spearheaded and chaired INFOCOM Workshop on Communications and Control on Smart Energy Systems (CCSES), Midwest Workshop on Control and Game Theory (WCGT), and ICRA workshop on Security and Privacy of Robotics. His current research interests include game theory, machine learning, cyber deception, network optimization and control, cyber and physical system resilience. He is a co-author of three recent books published by Springer: Cyber-Security in Critical Infrastructures: A Game-Theoretic Approach (with S. Rass, S. Schauer, and S. König), Game Theory for Cyber Deception (with J. Pawlick), and Cybersecurity in Robotics (with S. Rass, B. Dieber, V. M. Vilches).

Chao Zhang is currently an Assistant Professor at Central South University, Changsha, China. He received his B.S. degree in Optoelectronics from Huazhong University of Science and Technology, Wuhan, China, in 2012, and his M.S. and Ph.D. degrees in Electrical Engineering from the University of Paris-Saclay in 2014 and 2017, respectively. Before joining Central South University in 2022, he served as a Research Fellow at CentraleSupélec, Télécom Paris, and Princeton University. His research interests include applying information theory and game theory to communication problems, such as goal-oriented communication and the interplay between generative AI and communication.​

Best regards,

Mérouane Debbah is a researcher, educator and technology entrepreneur. He has founded several public and industrial research centers, start-ups and held executive positions in ICT companies. He is professor at Khalifa University in Abu Dhabi, United Arab Emirates and founding director of the Khalifa University 6G Research Center.^[1] His research has been at the interface of fundamental mathematics, algorithms, statistics, information and communication sciences with a special focus on random matrix theory and learning algorithms. In the communication field, he has been at the heart of the development of small cells (4G), massive MIMO (5G) and large intelligent surfaces (6G) technologies. In the AI field, he is known for his work on large language models, distributed AI systems for networks and semantic communications. He received more than 40 IEEE best-paper awards for his contributions to both fields and according to research.com is ranked as the best scientist in France in the field of electronics and electrical engineering.