Jiangbo Yu
Title:
Assistant Professor
Academic title(s):
Ph.D., P.E.
Biography:
Professor Yu’s research focuses on human-machine collaborative design and planning for sustainable and resilient mobility systems. His research lab is engaged in the development and application of system dynamics models, generative artificial intelligence, and human-machine interfaces. The Lab's objective is to harness the synergistic potential of human intelligence and machine intelligence to secure and enhance people’s access to resources and opportunities.
Link(s):
Degree(s):
- Ph.D. University of California, Irvine
- M.S. University of Southern California
- B.S. Beijing Institute of Technology
Areas of expertise:
Transportation Systems Engineering and Planning
Office:
Macdonald Engineering Building, MD 475C
Research areas:
Transportation Engineering
Areas of interest:
- Shared automated electric mobility services and infrastructure
- Human-AI teaming, large language models
- Systems modeling and control, human-feedback reinforcement learning,
- Quantum computing, quantum cognition
Professional activities:
- Research Affiliate, Massachusetts Institute of Technology
- Senior Engineer, AECOM.
- Senior Modeler, Cambridge Systematics
- Transportation Engineer, Fehr & Peers