Chengyuan Zhang

Chengyuan Zhang

Ph.D. candidate in the Department of Civil Engineering, McGill University

Selected Talks and Presentations

  • Modeling Human Driving as a Dynamic Interaction Process: Uncertainty-Aware Learning from Naturalistic Driving Data
    Apr. 2026, Online
    Invited Talk @ MIT AgeLab, Massachusetts Institute of Technology

  • From Micro Interactions to Traffic Flow: Stochastic Driver Models for Realistic Traffic Simulation
    Feb. 2026, Shanghai, China
    Invited talk @ Department of Transportation Engineering, Tongji University

  • From Micro Interactions to Traffic Flow: Stochastic Driver Models for Realistic Traffic Simulation
    Oct. 2025, Online
    Invited talk @ Massachusetts Institute of Technology, MIT WU Lab

  • Stochastic Modeling and Simulations of Car-Following Behaviors
    Feb. 2025, Online
    Invited talk @ Massachusetts Institute of Technology, JTL Research Seminar [slides] [web]

  • Bayesian Calibration of Car-Following Models
    Nov. 2024, Beijing, China
    Invited talk @ Department of Mechanical Engineering, Beijing Institute of Technology

  • Bayesian Calibration of Car-Following Models
    Oct. 2024, Shanghai, China
    Invited talk @ Artificial Intelligence Institute, Shanghai Jiao Tong University

  • Calibrating Car-Following Models via Bayesian Dynamic Regression
    July 2024, Ann Arbor, Michigan, US
    Conference Podium Presentation @ The 25th International Symposium on Transportation and Traffic Theory ( ISTTT25) [slides]
  • Bayesian Calibration of the IDM
    Feb. 2023, Online
    Invited Talk @ Traffic Flow Theory and Characteristics (ACP50) general webinar series [flyer] [recording]
  • Bayesian Calibration of the IDM
    Jan. 2023, Washington, DC, US
    Conference Poster Presentation @ TRB Annual Meeting 2023
  • A General Framework of Learning Multi-Vehicle Interaction Patterns from Video
    Oct. 2019, Auckland, New Zealand
    Conference Podium Presentation @ IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2019)
  • An Efficient Parking Solution: A Cam-Linkage Double-Parallelogram Mechanism Based 1-DOF Stack Parking System
    Aug. 2018, Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, US
    Workshop Podium Presentation @ The 1st Workshop for SAILER at CMU [slides]