Tao Li

I am an assistant professor in the Department of Systems Engineering at City University of Hong Kong. I was a visiting researcher at the IBM Thomas J. Watson Research Center, collaborating with the Mathematical Sciences and Quantum Computing divisions in 2025. I earned my Ph.D. in Electrical and Computer Engineering from New York University, advised by Prof. Quanyan Zhu, where I also worked closely with Prof. Kaan Ozbay and Prof. Sundeep Rangan. My dissertation examines the triad of information, decision, and uncertainty in multi-agent learning. Prior to my doctoral studies, I conducted research in computational harmonic analysis under the supervision of Prof. Bin Han at the University of Alberta. I hold a B.S. in Mathematics, graduating summa cum laude from Xiamen University.

Research Overview

I develop learning and decision-making methods that help interacting agents operate reliably under uncertainty. My work connects game theory, control, and reinforcement learning, with a recent focus on agentic AI for secure and resilient cyber-physical systems in smart cities.

• Multi-agent learning: How agents learn and coordinate when information is incomplete or asymmetric.
• Autonomous cybersecurity: How AI agents make transparent and accountable security decisions.
• Resilient cyber-physical systems: How networked systems remain robust to uncertainty and disruption.

My Erdős Number is 3

Paul Erdős (0) coauthored "On changes of signs in infinite series" (1978) with Charles K. Chui (1), who coauthored "A dual-chain approach for bottom–up construction of wavelet filters with any integer dilation" (2012) with Bin Han (2), who coauthored "Directional compactly supported box spline tight framelets with simple geometric structure" (2019) with me (3).