معرفی
Kun Xie is an Associate Professor in the Department of Civil & Environmental Engineering at Old Dominion University (ODU), part of the Batten College of Engineering and Technology. He holds a Ph.D. in Transportation Planning and Engineering from New York University (NYU) and has held prior roles as a Lecturer at the University of Canterbury (New Zealand) and a Postdoctoral Associate at NYU’s Center for Urban Science and Progress (CUSP).
His research focuses on data-driven solutions for enhancing transportation system safety, efficiency, and resilience. Key areas include machine learning applications, spatiotemporal modeling, and incident management. Dr. Xie has secured multi-million dollar grants from NSF, VDOT, and NOAA, and his work has resulted in over 100 refereed publications. He is an Associate Editor for Transportation Research Record and the IEEE Intelligent Transportation Systems Conference.
- Education:
- Ph.D., Transportation Planning & Engineering, New York University
- Postdoctoral Training, Center for Urban Science and Progress (CUSP), NYU
His research interests span AI in transportation, connected/autonomous vehicles, and resilience during disasters. Notable achievements include the IEEE ITS Best Dissertation Award (2016) and the TRB Best Paper Award (2015). His lab, the Transportation Informatics Lab, develops advanced tools like the SAVE-T Safety Analysis Visualization and Evaluation Tool.
Recent work addresses pandemic impacts on driving behavior, hurricane evacuation modeling, and equity in safety performance metrics. He collaborates with industry partners on projects like drone-based traffic analytics and safety service patrol optimization.
