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.

Research Overview: My research aims to develop computational foundations of agent-based technologies with self-improving and self-healing abilities to facilitate autonomous cyber-physical-human systems security and resilience without human interventions (see the graphical abstract below, references herein point to the CV). 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.

Open to work! I am on the 2024-2025 job market; please feel free to drop me a message if you feel I’m a good fit.