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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 agentic transportation systems — next-generation mobility networks collaboratively shaped and managed by interactive AI agents and human stakeholders. Before joining McGill, Prof. Yu worked as a senior engineering consultant and collaborated with various research institutes. 

Prof. Yu's lab currently has openings for fully-funded PhD students and postdoctoral researchers. Partially- or fully-funded master's student positions might be available for strong applicants with Bachelor's degrees.

Link(s): 
Human-Machine Transportation Systems (HMTS) Lab
Degree(s): 
  • Ph.D. University of California, Irvine
  • M.S. University of Southern California
  • B.S. Beijing Institute of Technology
Courses: 

CIVE 208: Civil Engineering Systems Analysis

CIVE 324: Sustainable Project Management

CIVE 543: System Dynamics for Civil & Environmental Engineering

CIVE 600: Engineering Future Mobility

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

Operations Research, Machine Intelligence, Feedback Systems, Human-Machine Interactions

Areas of interest: 
  • Agentic Systems & Reinforcement Learning
  • Human-AI Interactions
  • Automated Electric Mobility
  • Infrastructure Network Resilience
Professional activities: 
  • Research Associate, Massachusetts Institute of Technology (MIT)
  • Senior Engineer, AECOM.
  • Senior Modeler, Cambridge Systematics
  • Transportation Engineer, Fehr & Peers
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