Jiangbo Yu
Title:
Assistant Professor
Academic title(s):
Ph.D., P.E.
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 public agencies, private companies, and research institutes.
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: Project Management
- CIVE 543: System Dynamics for Civil & Environmental Engineering
Office:
Macdonald Engineering Building, MD 278B
Research areas:
Transportation Engineering
Current research:
- Long-term demand forecasting and infrastructure planning for the agentic era of transportation systems
- Within-day operation and control of mobility services with agentic AI
Graduate supervision:
- 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.
Areas of interest:
- Future Mobility (e.g., vehicle electrification, automation, flexible ownership)
- Resilient Infrastructure
- Operations Research & Management Science
- Machine Intelligence & Human-AI Interactions
- Feedback Systems & Model Predictive Control
- Human Travel Behaviors
Professional activities:
- Research Associate, Massachusetts Institute of Technology (MIT)
- Senior Engineer, AECOM
- Senior Travel Demand Modeler, Cambridge Systematics
- Transportation Engineer, Fehr & Peers
- Traffic Engineer, California Department of Transportation (Caltrans)
- Transportation Analyst, Southern California Association of Governments (SCAG)
- Traffic Engineer, Los Angeles Department of Transportation (LADOT)