Paper Publications: September 20, 2025, a paper accepted by Transport Policy; August 1, 2025, a paper accepted by IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS); July 1, 2025, a paper accepted by IEEE ITSC 2025; June 27, 2025, a paper accepted by ICCV 2025; June 9, 2025, two papers as corresponding author accepted at Accident Analysis & Prevention; February 11, 2025, a paper about adaptive traffic incident prediction accepted at Transportmetrica A. Project Awards: Nvidia-funded project NanoDT; Two USDOT-funded projects as lead PI; One USDOT-funded project as Co-PI on high-impact events.
Research Experience
Currently an Assistant Professor at Rochester Institute of Technology (RIT).
Education
Ph.D. in Transportation Planning and Engineering from New York University, advised by Professor Kaan Ozbay; M.S. in Civil Engineering from the University of Florida; B.S. from Harbin Institute of Technology in China.
Background
Research Interests: Trustworthy AI and machine learning, reinforcement learning, control theory, simulation, and computer vision. Professional Field: Intelligent transportation systems, autonomous vehicles, and cyber-physical systems. Summary: Research focuses on human-system interactions and multi-agent dynamics, examining how these systems respond and adapt when confronted with disruptions such as traffic accidents, construction activities, or natural and human-induced disasters.
Miscellany
Invited to give a talk at the podium session of TRB2025.