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Jiangbo Yu

Title: 
Assistant Professor
Academic title(s): 

Ph.D., P.E.

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

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. 

Link(s): 
FISMO Lab
Degree(s): 
  • Ph.D. University of California, Irvine
  • M.S. University of Southern California
  • B.S. Beijing Institute of Technology

     
Areas of expertise: 

Transportation System Engineering

Office: 
Macdonald Engineering Building, MD 475C
Research areas: 
Transportation Engineering
Teaching areas: 

Operations Research, Systems Engineering, System Dynamics, Cybernetics

Areas of interest: 
  • Shared Automated Electric Mobility
  • Infrastructure System Resilience
  • Synthetic Participatory Planning
  • Human-AI Systems
Professional activities: 
  • Research Associate, Massachusetts Institute of Technology (MIT)
  • Senior Engineer, AECOM.
  • Senior Modeler, Cambridge Systematics
  • Transportation Engineer, Fehr & Peers

     
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