Publications: 'Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control' published in Communications in Transportation Research; Projects: SafetyGPT (awarded 20,000 A100 GPU hours by NVIDIA Academic Grant Program); EdgeTwin Project (awarded two RTX PRO 6000 Blackwell GPUs). Awards: Received two NVIDIA Academic Grant Program Awards ($43,800 USD).
Research Experience
Position: Founding member of Sky-Lab; Affiliations: Member of the Center for Connected and Automated Transportation (CCAT) and Smart Highway Research Center (SHRC).
Education
Degree: Ph.D. Candidate; University: University of Wisconsin-Madison; Advisor: Prof. Sikai (Sky) Chen; Time: Present; Major: Civil and Environmental Engineering. Previously worked with Prof. Samuel Labi at Purdue University.
Background
Research Interests: Human-in-the-loop Learning, Reinforcement Learning, Foundation Models (e.g., LLMs/VLMs), Human-AI Collaboration, World Models. Professional Field: Civil and Environmental Engineering. Brief Introduction: Currently a Ph.D. Candidate at the University of Wisconsin-Madison, dedicated to developing human-centered and trustworthy autonomous systems.
Miscellany
Personal Interests: Bridging technical findings with practical applications. Founded two technology companies in China before pursuing his Ph.D.