Scholar
Xuan Sharon Di
Google Scholar ID: P7ndQrkAAAAJ
Associate Professor at Civil Engineering & Engineering Mechanics, Columbia University
Citations & Impact
Citations
3,053
H-index
32
i10-index
57
Publications
20
Co-authors
29
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- The paper 'Uncertainty Quantification of Car-following Behaviors: Physics-Informed Generative Adversarial Networks' by Zhaobin Mo and Xuan Di was accepted by the 2022 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining's workshop Urban Computing and won the best paper award.
Research Experience
- Currently an Associate Professor in the Department of Civil Engineering & Engineering Mechanics at Columbia University; research areas cover uncertainty quantification of self-driving car behaviors, clustering travelers based on travel activity patterns, and the impact of shared mobility on travel behavior.
Background
- Research interests include optimization, statistics, machine learning, and domain knowledge in transportation systems. Dedicated to studying transportation science from an interdisciplinary perspective.
Miscellany
- Leads the DitecT (Data & Innovative Technology-driven Transportation) Lab, which aims to collect, analyze, and discover travel behavior patterns using big data to support effective planning and management of next-generation transportation systems.
