Jiangbo Yu

Assistant Professor
Academic title(s): 

Ph.D., P.E.

Jiangbo Yu
Contact Information
Email address: 
jiangbo.yu [at] mcgill.ca

Prof. Yu’s research focuses on the synergistic design and planning of sustainable infrastructure and resilient mobility systems. Dr. Yu is currently investigating the synergies of human intelligence and artificial intelligence for designing shared automated electric mobility services. His research lab develops and applies various tools and methods, such as 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

  • Ph.D. University of California, Irvine
  • M.S. University of Southern California
  • B.S. Beijing Institute of Technology

Areas of expertise: 

Transportation System Dynamics

Macdonald Engineering Building, MD 475C
Research areas: 
Transportation Engineering
Areas of interest: 
  • Shared automated electric mobility 
  • Systems Modeling and Analysis
  • Generative Artificial Intelligence
  • Human-Feedback Reinforcement Learning
Professional activities: 
  • Research Affiliate, Massachusetts Institute of Technology
  • Senior Engineer, AECOM.
  • Senior Modeler, Cambridge Systematics
  • Transportation Engineer, Fehr & Peers

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