Lu Feng
University of Virginia
I am an Assistant Professor at the Department of Computer Science and the Department of Engineering Systems and Environment at the University of Virginia (UVa). I am also a member of the Link Lab - the center of research excellence in Cyber-Physical Systems at UVa. Previously, I was a postdoctoral fellow at the University of Pennsylvania. I hold a D.Phil. in Computer Science from the University of Oxford, a M.Phil. in Computer Speech, Text and Internet Technology from the University of Cambridge, and a B.Eng. in Information Engineering from the Beijing University of Posts and Telecommunications. I have been fortunate to receive several awards in the past, including NSF CAREER Award, NIH NHLBI Big Data Analysis Challenge Winner Award, NSF CRII Award, Rising Stars in EECS, James S. McDonnell Foundation Postdoctoral Fellowship, among others.
My research focuses on assuring the safety and trustworthiness of Cyber-Physical Systems (CPS), which are engineered systems with seamless integration of computing devices, control and actuation, and sensing of the physical world. Prominent examples of CPS include automated vehicles, medical devices, and smart cities. Specifically, my current research tackles challenges such as:
Safety of AI-enabled CPS: The data-rich nature of CPS has resulted in AI technologies increasingly being embedded in CPS. But many AI systems lack safety guarantees and can lead to catastrophic failures. How do we provide mathematically rigorous guarantees about the safety of AI-enabled CPS?
Trust in Human-CPS: There is a growing trend toward human-CPS, where systems collaborate or interact with humans to harness complementary strengths of humans and autonomy. How do we build trustworthy human-CPS while accounting for the uncertainty of human interaction?
Read more about my research here.
I'm looking for motivated PhD students and postdocs who are interested and experienced in cyber-physical systems, formal methods, machine learning, human-computer interaction, and/or robotics. Please read this if you are interested.
Highlights of Recent News
Nov. 2022: I'm co-organizing AAAI-23 Bridge: AI and Law, which will take place on Feb 8, 2023 in Washington DC, as part of the Bridge Program at the Thirty-Seventh AAAI Conference on Artificial Intelligence. Welcome to join us for interdisciplinary dialogues about AI and Law!
Sep. 2022: I'm serving as a Technical Program Co-Chair of ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) 2023. The paper submission deadline is Oct 31. Please consider to submit your best work!
Aug. 2022: I'm serving as a Program Co-Chair of IFAC Workshop on Cyber-Physical & Human Systems (CPHS) 2022. Please join us in Houston, TX on Dec 1-2 for an interdisciplinary discussion about advances in cyber-physical human systems!
Aug. 2022: Our paper “Planning for Automated Vehicles with Human Trust” has been accepted by ACM Transactions on Cyber-Physical Systems.
Apr. 2022: Our paper “Toward Policy Explanations for Multi-Agent Reinforcement Learning” has been accepted for long oral presentation at the International Joint Conference on Artificial Intelligence (IJCAI) 2022.
Jan. 2022: Our paper “Multi-Objective Controller Synthesis with Uncertain Human Preferences” has been accepted for publication at the ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) 2022.
Oct. 2021: Our paper “Toward Formal Methods for Smart Cities” has been published as a cover feature in the IEEE Computer magazine.
Contact
Office: Olsson Hall, Room 271
Phone: 434-982-2388
Email: lu.feng at virginia dot edu