Qing Tang

Dr. Qing Tang is an Assistant Professor in the Department of Civil & Environmental Engineering at Old Dominion University (ODU), affiliated with the Batten College of Engineering and Technology and the Institute for Autonomous and Connected Systems. She holds a Ph.D. in Transportation Engineering from Pennsylvania State University (2023), an M.S. in Insurance and Actuarial Science from Central University of Finance and Economics (2013), and a B.S. in Information and Computing Science from Hubei University of Education (2011).

Her research focuses on Connected and Automated Vehicles (CAVs), Traffic Flow Modeling, and AI-driven Transportation Data Analytics. Specific interests include autonomous vehicle deployment in work zones, traffic flow optimization, and smart infrastructure sustainability. Dr. Tang has conducted postdoctoral research at Georgia Institute of Technology and has received awards such as the 2025 Summer Research Fellowship (ODU) and the 2023 Mark E. and Claire L. Alpert Graduate Fellowship.

Her articles explore topics like cooperative perception for CAVs, autonomous maintenance systems in work zones, and privacy-aware data publishing. Recent work emphasizes analytical models for multi-state merging processes and intersection deadlock analysis using Petri nets. She contributes to developing guidelines for leader-follower autonomous systems and evaluates their traffic safety impacts.

• Awards: 2025 SRFP Award, 2023 Alpert Fellowship, 2022 Russell Fellowship, and multiple competition recognitions.
• Labs/Teams: Active in ODU's Institute for Autonomous and Connected Systems.