Wenjing Zhao

Dr. Wenjing Zhao is a Research Associate in the Autonomous Systems & Connectivity research group at the University of Glasgow, specializing in autonomous vehicle systems and intelligent transportation solutions. Her work bridges engineering, human factors, and artificial intelligence to enhance vehicle safety and decision-making capabilities.

Her research focuses on autonomous driving decision algorithms, human-vehicle interaction dynamics, and causal inference frameworks. She investigates critical safety scenarios like driver responses to collision warnings, develops attention-based exploration strategies for autonomous navigation, and applies Bayesian game theory to mixed-traffic environments. Her recent work extends to trustworthy generative modeling using causal graphs for image modification applications in autonomous systems.

Analysis of her 2025 publications reveals a cohesive research trajectory centered on AI-driven transportation safety. Key trends include integrating human behavioral modeling with autonomous decision systems, developing robust game-theoretic approaches for human-automated vehicle interactions, and advancing causal machine learning for trustworthy perception. Her work spans high-impact transportation safety journals (Accident Analysis and Prevention), vehicular technology (IEEE Transactions), and computer vision conferences (ICDCS).

Dr. Zhao contributes to the University of Glasgow's Autonomous Systems & Connectivity initiative, collaborating with researchers like Dezong Zhao and David Flynn on next-generation vehicle automation technologies. Her current projects emphasize real-world implementation of collision warning systems and decision-making frameworks for complex traffic environments.