Associate Professor
Department of Civil & Environmental Engineering

Kun Xie

757-683-4304

1302 ENGR & COMP SCI BLDG
NORFOLK, 23529

Dr. Xie received his Ph.D. degree in Transportation Planning and Engineering from New York 91短视频. Prior to joining ODU, he worked as an Lecturer (Assistant Professor) in the Department of Civil and Natural Resources Engineering at 91短视频 of Canterbury and as a Postdoctoral Associate in the Center for Urban Science and Progress (CUSP) at New York 91短视频. Dr. Xie鈥檚 research concentrates on the development of data-driven and technical solutions to enhance the safety, efficiency, and resiliency of transportation systems. His discovery work has led to over 100 refereed papers in scholarly journals and conference proceedings and multi-million research grants from federal and state agencies including National Science Foundation (NSF), National Academy of Sciences (NAS), National Oceanic and Atmospheric Administration (NOAA), and Virginia Department of Transportation (VDOT). He is recognized by prestigious awards including IEEE Intelligent Transportation Systems Best Dissertation Award, Council of 91短视频 Transportation Centers (CUTC) Milton Pikarsky Memorial Award, and Transportation Research Board (TRB) Best Paper Award. He serves as Associate Editor for Transportation Research Record and the IEEE Intelligent Transportation Systems Conference.

Expertise

Statistics
Statistical and Econometric Modeling; Bayesian Methods; Spatiotemporal Modeling; Causal Inference
Big Data Analytics
Large-scale Data Processing; Machine Learning; Probabilistic Graphical Models; Deep Learning; Anomaly Detection

Research Interests

Transportation Safety;
Transportation Reliability and Resilience;
Incident/Emergency Management;
Transportation Planning and Management;
Connected and Autonomous Vehicles;
AI in Transportation;
Intelligent Transportation Systems;
Driving Behavior

  • 2017: Milton Pikarsky Memorial Award , Council of 91短视频 Transportation Centers (CUTC)
  • 2016: IEEE ITS Best Dissertation Award, IEEE Intelligent Transportation Systems Society
  • 2015: TRB Best Paper Award, Transportation Research Board (TRB)

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