Dr. Changxu Wu
Date & Time
Date: 15 October 2024
Time: 11:00-12:00 nn (GMT+8)
Venue
Zoom ID: 898 654 4121
Passcode: 123456
This research seminar introduces human cognitive modeling with its applications in intelligent transportation systems (ITS) design. Human cognitive modeling is a growing and challenging area in human factors and cognitive systems engineering. It builds computational models based on the fundamental mechanisms of human cognition and human-system interaction, employs both mathematical and discrete event simulation methods in industrial engineering, and predicts human performance and workload in real-world transportation systems. It can be used to design, improve, and evaluate ITS with human in the loop.
Dr. Changxu Wu received his Ph.D. degree in Industrial and Operational Engineering from the University of Michigan-Ann Arbor (2007). He is interested in integrating cognitive science and engineering system design, especially modeling human cognition system with its applications in system design, improving transportation safety, promoting human performance in human-computer interaction, and inventing innovative sustainable and smart energy systems with human in the loop. Dr. Wu has published over 100 journal papers and 35 conference papers with over 4,700 citations. The journal papers include IEEE Transactions on Systems, Man, and Cybernetics (Part A), IEEE Transactions on Intelligent Transportations Systems, Psychological Review (Impact Factor: 9.02), ACM Transactions on Computer-Human Interaction, International Journal of Human-Computer Studies, as well as several other journals. He was the Chair of Human Performance Modeling Technical Group of Human Factors and Ergonomics Society (HFES) in USA. He is also Associate Editors for IEEE Transactions on Intelligent Transportations Systems, IEEE Transaction on Human-Machine Systems, and Behaviour & Information Technology. He received the Senior Researcher of the Year Award from the Dean of School the Engineering & Applied Sciences at SUNY Buffalo and Outstanding Student Instructor Award from the American Society of Engineering Education (ASEE).
来源：智能交通学域
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