Lu Feng
University of Virginia
I am an Associate Professor at the Department of Computer Science and the Department of Systems and Information Engineering at the University of Virginia. I am also a member of the Link Lab, a center of research excellence in Cyber-Physical Systems. Previously, I was a postdoctoral fellow at the University of Pennsylvania. I hold a D.Phil. in Computer Science from the University of Oxford.
My research focuses on assuring the safety and trustworthiness of embodied AI systems that perceive, reason, and act in the physical world, often in collaboration with humans. I study how learning-enabled and autonomous systems can be designed, verified, and monitored to operate reliably under uncertainty and interaction, drawing on formal methods, control, and machine learning. My work spans both design-time assurance and runtime mechanisms, with applications to autonomous driving, healthcare AI, and robotics.
Read more about my research here.
Recent News
Jan 2026: Our paper “Explaining Decentralized Multi-Agent Reinforcement Learning Policies” has been accepted for publication at the 40th AAAI Conference on Artificial Intelligence (AAAI 2026).
Dec 2025: We received a new research grant from the Schmidt Sciences Foundation on Trustworthy AI.
May 2025: Our paper “Adaptive Reward Design for Reinforcement Learning” has been accepted for publication at the 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025).
May 2025: Our paper “Counterfactual Explanations for Continuous Action Reinforcement Learning” has been accepted for publication at the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025).
Contact
Office: Olsson Hall, Room 271
Phone: 434-982-2388
Email: lu.feng at virginia dot edu