Dr. Yiheng Feng is an assistant professor at Lyles School of Engineering, Purdue University. He received his Ph.D. from Department of Systems and Industrial Engineering at University of Arizona. He has served as PI and Co-PI in many research projects funded by NSF, USDOT, USDOE, multiple state DOTs and industrial companies. He has rich experiences in deploying and testing CV/CAV technologies in the field and has been involved in several large-scale national CAV deployment projects. He has published more than 50 research articles, which appeared in top journals, including Nature Communications, Transportation Research Part B/C, and IEEE Transactions on ITS/IV. He is a member of of traffic signal systems committee (ACP25) at Transportation Research Board, and co-chair of the simulation subcommittee. He is an editorial board member of Transportation Research Part C. He is the recipient of NSF CAREER award and best paper awards from INFORMS and NDSS, and the inaugural best dissertation award from the Chinese Overseas Transportation Association (COTA).

Yumeng Bai received the B.S. degree in Electrical and Computer Engineering from Shanghai Jiao Tong University, Shanghai, China, in 2022. She is currently pursuing the Ph.D. degree with the Lyles School of Civil and Construction Engineering, Purdue University. Her research interests include air–ground traffic cooperation, traffic network modeling and operations, and intelligent transportation systems and infrastructure with connected and automated vehicles.

Gengyue joined the CART Lab as a PhD student in Fall 2025. Prior to joining Purdue, he received his bachelor’s and master’s degrees in Transportation Engineering from Southeast University, China, in 2022 and 2025, respectively. He is a recipient of the 2025 Ross Fellowship at Purdue University. His research interests focus on trustworthy reinforcement learning, traffic control, and cybersecurity.

Wangzhi (George) Li is a Ph.D. student, advised by Dr. Yiheng Feng, in the Connected, Automated, and Resilient Transportation (CART) Lab at Purdue University starting in 2022. Before that, he worked with Dr. Xuan (Sharon) Di and earned his Master of Science in Data Science from Columbia University in 2021. George’s research area includes but is not limited to reinforcement learning in traffic and Connected and Automated Vehicle (CAV) control, perception-based traffic state estimation, and cybersecurity for CAV and intelligent transportation systems. He has published high-quality papers in top journals and conferences, such as Transportation Research: Part C. George is a photographer (unprofessional) outside of his professional activities.

Yongkang Li is a Graduate Research Assistant in the CART Lab?at Purdue University. He received the B.E. degree in Software Engineering from the University of Electronic Science and Technology of China (UESTC) in 2025. During his undergraduate studies, he published several papers in conferences and journals like ACM MM, ECAI, and Accident Analysis & Prevention. His current research interests mainly focus on the application of AI in autonomous driving, including trajectory prediction, risk assessment, and environment perception.

Ajuna P. John is a master student in Lyles School of Civil and Construction Engineering at Purdue University.

Yilin Wang is a Ph.D. student in at Lyles School of Civil and Construction Engineering, Purdue University. He joined CART Lab in Fall 2021. Yilin's perspective research interest is smart traffic control in Connected Automated Vehicle environment based on machine learning algorithms. He is also interested in implementing automation driving strategies. Yilin received his Bachelor from Collage of Civil Engineering from Tongji University, China in 2019 and MS from Carnegie Mellon University in 2020. His past research experiences involve geotechnical risk assessment and smart infrastructure resilience.

Tianheng Zhu is a Graduate Research Assistant in the Connected, Automated, and Resilient Transportation (CART) Lab at Purdue University. He received the B.S. degree in Transportation Engineering from Tongji University, China in 2023. During his undergraduate, he was awarded the China National Scholarship and published several papers at top conferences like TRB Annual Meeting and IEEE ITSC. His current research interests include connected-and-automated-vehicle-based traffic control and safety.

Post doc, 2022-2023 Current Position: R&D staff | Applied Research for Mobility Systems, Oak Ridge National Laboratory (ORNL)

Master student, 2020-2021 Current Position: Traffic Engineer, Michigan Department of Transportation

Jun Ying was a Ph.D. student in the CART Lab from 2021 to 2025. She joined General Motors as a Research Engineer after graduation.

Cong Zhang was a Ph.D. student in the CART Lab during 2021-2025. She joined Tsinghua University as a postdoc researcher after graduation.