معرفی
Xuesong Zhou is a Professor of Transportation Systems at the School of Sustainable Engineering and the Built Environment, Arizona State University (ASU). He leads the ASU Transportation+AI Lab and develops open-source tools like DTALite, NEXTA, and OSM2GMNS with over 100,000 downloads. His research focuses on multimodal transportation planning, dynamic traffic assignment, and rail scheduling with methodological contributions to traffic flow theory and operations research.
Dr. Zhou's research bridges transportation system operations, computer applications for ITS, and logistics optimization. His work on differentiable programming reformulations and state-space-time network modeling has advanced real-time traffic prediction and multi-echelon facility scheduling.
Scientific awards include:
- 2022 Elsevier Multimodal Transportation Best Article Award
- 2018 Transportation Research Part C Best Associate Editor Award
- 2012 INFORMS Railway Applications Section Best Paper Award
He has advised 9 PhD students and 6 postdoctoral researchers to completion, with mentees now at institutions like Georgia Institute of Technology and Michigan State University. Current projects include NSF CONNECT and DOE Argonne collaborations on multi-scale traffic simulation and smart campus cyberinfrastructure.
