Tao Li

Bio: I am a PhD candidate in the Department of Electrical and Computer Engineering at New York University, working with Quanyan Zhu. Before doing my PhD, I worked on computational harmonic analysis with Bin Han at University of Alberta. I received the BS degree in Mathematics from Xiamen University.

My Erdős Number is 3: Paul Erdős (0) coauthored “On chagnes 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).

Research Overview:

My research develops computational foundations of mulit-agent learning under complex information structures to achieve certified robustness and resilience.

Leveraging techniques from reinforcement learning (RL) and artificial intelligence (AI), game theory, and control & optimization, my research advances multi-agent learning in complex networks with applications to cyber, physical, and human layers, including cybersecurity & resilience, intelligent transporation systems, and social networks misinformation detection & mitigation.

My future research will utilize digital twin (DT) technologies and advanced generative AI models, such as large language models (LLMs), to enhance the implementability of the developed agentic frameworks for human-centered, resilient autonomous mobility management in complex urban environments.