Assistant Professor
Department of Civil & Environmental Engineering

Kun Xie

129c Kaufman Hall
Norfolk, 23529

Dr. Xie's research concentrates on the use of data-driven approaches and emerging technologies to enhance the safety, efficiency and resiliency of transportation systems. Prior to joining ODU, he worked as a Lecturer (equivalent to tenure-track Assistant Professor in US) in the Department of Civil and Natural Resources Engineering at University of Canterbury and as a Postdoctoral Associate in the Center for Urban Science and Progress (CUSP) and Department of Urban and Civil Engineering at New York University. He has published over 70 refereed papers in scholarly journals and conference proceedings and is recognized by research awards such as IEEE ITS Best Dissertation Award, CUTC Milton Pikarsky Memorial Award and Transportation Research Board (TRB) Best Paper Award. He has served as a guest/area editor, a session chair and a reviewer for over 30 scientific journals and international conferences.

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;
Intelligent Transportation Systems

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