Quanyan Zhu

Quanyan Zhu is an Associate Professor in the Department of Electrical and Computer Engineering at New York University. His research interests include Game Theory, Control Theory, Cyber-physical Systems, Risk Management, Smart Grid, and Wireless Network. He is affiliated with the NYU Center for Cybersecurity (CCS) and the Laboratory for Agile and Resilient Complex Systems (LARX). Zhu has authored and edited several books on cyber-security and game-theoretic approaches. He teaches courses on Game Theory, Cyber-Physical Systems, and Control Systems. His work includes developing algorithms for safer self-driving cars, such as the Neurosymbolic Meta-Reinforcement Lookahead Learning (NUMERLA) framework.

Quanyan Zhu is a researcher in the Department of Electrical and Computer Engineering at New York University, focusing on AI, Game and Control Theory, Security and Resilience, Autonomy, and Cyber-Physical Systems. His work explores the intersection of game theory with network security, privacy, and cyber-physical systems, emphasizing robustness, security, and resilience. Zhu's research includes dynamic resource allocation, differential privacy, and resilient control design for power systems and microgrids. His publications address challenges in smart grids, cloud computing, and distributed systems, with a focus on proactive defense strategies and feedback-driven cyber resilience.