Dr. Terry Yang is an Associate Professor (Transportation Engineering) in the Department of Civil & Environmental Engineering at the University of Maryland, College Park. Dr. Yang received his Ph.D. and M.S. degrees in Civil Engineering from the University of Maryland, College Park, and his B.S. degree in Civil Engineering from Tsinghua University. Prior to joining the UMD, Dr. Yang was an Assistant Professor at the University of Utah.

Dr. Yang's current research areas include machine learning for transportation modeling, traffic operations with connected automated vehicles, traffic safety, transportation equity, transportation planning, etc. He is the recipient of the prestigious NSF CAREER award in 2021. He has published over 150 peer-reviewed research articles in journals and conferences. He is currently the editorial board member of Transportation Research, Part C,  the Managing Editor of ASCE Journal of Urban Planning and Development, and IEEE OJ- Intelligent Transportation Systems, and the Handling Editor of TRB Transportation Research Record. He is also the Secretary of the ASCE Artificial Intelligence for Transportation Committee. He is the appointed member of two TRB standing committees (ACP25-Traffic Signal Systems and AMR20-Disaster  Response, Emergency Evacuations, and Business Continuity). He serves as a panelist for NSF, NCHRP, and multiple USDOT University Transportation Centers.

Dr. Yaobang Gong is a Research Faculty in Transportation Engineering at the University of Maryland, College Park (UMD). He received his Ph.D. from the University of Central Florida in 2020. Over the past two years at UMD, he has conducted extensive research on MDOT SHA field staff, co-leading two MDOT SHA sponsored projects – one focused on FMTs and another on CHART responders. In addition, he has co-led more than ten research projects funded by the USDOT, FHWA, DOE, Utah DOT, and Florida DOT, covering topics such as traffic data analytics, survey analysis, traffic safety, road asset management, and transportation systems management.

Dr. Sayantan Tarafdar, Ph.D., will graduate in May 2025

Education: M.S., Virginia Tech

Dissertation Title: Integrated Planning of Residential and Commercial Electric Vehicle Charging Infrastructure: A Strategic Bi-Level Optimization and Queuing Framework Approach 

Mr. Kaitai Yang, Ph.D. Candidate

Education: M.S., University of Florida

Research Area: Microscopic Traffic Flow Model under Adverse Weather Conditions

Ms. Yi Zhang, Ph.D. Candidate

Education: M.S., Southeast University

Research Area: Data Mining and Privacy Protection, Machine Learning Application in Transportation

Mr. Yuan-Zheng Lei, Ph.D. Candidate

Education: M.S., Southwest Jiaotong University,

Research Area: Physics-Informed Machine Learning, CAV Trajectory Planning

Mr. Qiwei Zhang, Ph.D. Candidate

Education: M.S., University of Florida

Research Area: Human Dynamics and Energy Trajectory Modeling

Ms. Keunmin Cho, Ph.D. Candidate

Education: M.S., Ajou University

Research Area: Transportation Network Resiliency

Mr. Dianwei Chen, Ph.D. Candidate

Education: M.S., Ohio State University

Research Area: Reinforcement Learning, Autonomous Vehicle Control, Large Language Model