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) at NYU. He is a recipient of many awards, including NSF CAREER Award, NYU Goddard Junior Faculty Fellowship, NSERC Postdoctoral Fellowship (PDF), NSERC Canada Graduate Scholarship (CGS), and Mavis Future Faculty Fellowships. 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, smart cities, Internet of Things, and cyber-physical systems. He has served as the general chair or the TPC chair of the 7th and the 11th Conference on Decision and Game Theory for Security (GameSec) in 2016 and 2020, the 9th International Conference on NETwork Games, COntrol and OPtimisation (NETGCOOP) in 2018, the 5th International Conference on Artificial Intelligence and Security (ICAIS 2019) in 2019, and 2020 IEEE Workshop on Information Forensics and Security (WIFS). He has also spearheaded in 2020 the IEEE Control System Society (CSS) Technical Committee on Security, Privacy, and Resilience. He is a co-author of two recent books published by Springer: Cyber-Security in Critical Infrastructures: A Game-Theoretic Approach (with S. Rass, S. Schauer, and S. König) and A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design (with J. Chen).
Zhiheng Xu received his Ph.D. degree in Electrical Engineering from New York University in 2018. After his Ph.D. graduation, he went to Nanyang Technological University, Singapore, working as Research Fellow for two years. Currently, he works as a senior robotics software engineer at the Department of Intelligent Machines, Dyson Company. His research interests include cyber-physical security, artificial intelligence, reinforcement learning, intelligent decision making, and game theory


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) at NYU. He is a recipient of many awards, including NSF CAREER Award, NYU Goddard Junior Faculty Fellowship, NSERC Postdoctoral Fellowship (PDF), NSERC Canada Graduate Scholarship (CGS), and Mavis Future Faculty Fellowships. 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, smart cities, Internet of Things, and cyber-physical systems. He has served as the general chair or the TPC chair of the 7th and the 11th Conference on Decision and Game Theory for Security (GameSec) in 2016 and 2020, the 9th International Conference on NETwork Games, COntrol and OPtimisation (NETGCOOP) in 2018, the 5th International Conference on Artificial Intelligence and Security (ICAIS 2019) in 2019, and 2020 IEEE Workshop on Information Forensics and Security (WIFS). He has also spearheaded in 2020 the IEEE Control System Society (CSS) Technical Committee on Security, Privacy, and Resilience. He is a co-author of two recent books published by Springer: Cyber-Security in Critical Infrastructures: A Game-Theoretic Approach (with S. Rass, S. Schauer, and S. König) and A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design (with J. Chen).
Zhiheng Xu received his Ph.D. degree in Electrical Engineering from New York University in 2018. After his Ph.D. graduation, he went to Nanyang Technological University, Singapore, working as Research Fellow for two years. Currently, he works as a senior robotics software engineer at the Department of Intelligent Machines, Dyson Company. His research interests include cyber-physical security, artificial intelligence, reinforcement learning, intelligent decision making, and game theory