Jiangbo Yu
Ph.D., P.E.
Prof. Yu’s research focuses on sustainable and resilient transportation systems. His research lab is currently investigating the synergies of human intelligence and artificial intelligence for designing shared automated electric mobility services. The lab develops and applies various tools and methods, including system dynamics models, generative artificial intelligence, and human-feedback reinforcement learning. Before joining McGill, Prof. Yu worked as a senior engineer at AECOM and collaborated with various research institutes.
Prof. Yu's lab currently has openings for fully-funded PhD students and postdoctoral researchers. Partially- and fully-funded master's student positions are also available.
- Ph.D. University of California, Irvine
- M.S. University of Southern California
- B.S. Beijing Institute of Technology
Transportation System Engineering
Operations Research, Machine Intelligence, Data Analytics, System Dynamics, Feedback Systems
- Shared Automated Electric Mobility
- Infrastructure System Resilience
- Synthetic Participatory Planning
- Human-AI Systems
- Research Associate, Massachusetts Institute of Technology (MIT)
- Senior Engineer, AECOM.
- Senior Modeler, Cambridge Systematics
- Transportation Engineer, Fehr & Peers