Regular biography
Jiangbo Yu is an Assistant Professor in the Department of Civil Engineering at McGill University. His research focuses on agentic transportation systems, which involve next-generation mobility networks shaped by interactive AI agents and human stakeholders. Before joining McGill, he worked as a senior engineering consultant and collaborated with various research institutes. His lab offers fully-funded PhD student and postdoctoral researcher positions, as well as partially- or fully-funded master's student opportunities for strong applicants. Yu's research areas include Transportation Engineering, with specific interests in Agentic Systems & Reinforcement Learning, Human-AI Interactions, Automated Electric Mobility, Infrastructure Network Resilience, and Human-Machine Interactions.
Scholar-generated biography
Yu, Jiangbo is a researcher at McGill University focusing on Transportation, Agentic Systems, Feedback Control, Human-Machine Interaction, and Infrastructure. His work explores advanced control strategies for nonlinear systems, such as Barrier Lyapunov functions-based control for pure-feedback systems with state constraints. He also investigates sustainable transportation solutions, including peer-to-peer ridesharing as transit feeders and the integration of multiple sustainable modes. His research emphasizes human-machine collaboration in transportation planning and the development of interpretable models for urban dynamics. Additionally, he examines policy impacts on zero-emission bus fleets and the role of AI agents in transportation surveys.