- Adaptive Deadlock Avoidance for Decentralized Multi-Agent Systems (ICRA'25)
- Courteous MPC for Autonomous Driving (ITSC'24)
Awards:
- First place in HACKTHON CLT 2024 for the Turbo Trash project
Research Experience
Currently conducting research on multi-agent control systems at UIC, focusing on developing algorithms for large-scale mixed-autonomy coordination. Previously worked as a research assistant at University of North Carolina at Charlotte (UNC Charlotte).
Education
Ph.D. in Computer Science at University of Illinois Chicago (UIC), supervised by Prof. Wenhao Luo; M.S. in Mechanical Engineering from Dalian University of Technology (DUT); B.S. from China University of Petroleum (UPC).
Background
Research Interests: Robotics, Control theory, Computer Vision, and Reinforcement Learning. Goal is to empower multi-robot systems with intelligence for safe and effective collaboration with humans and other robots.