Home

Short Biography

Dr. Jintao Ke is an Assistant Professor in the Department of Civil Engineering at the University of Hong Kong (HKU). Dr. Ke received his B.S. degree (2016) in Civil Engineering from Zhejiang University, and his PhD degree (2020) in Civil and Environment Engineering from Hong Kong University of Science and Technology. Prior to joining HKU, he was a research assistant professor in the Hong Kong Polytechnic University. His research interests include on demand mobility services, transportation big data analytics, multimodal transportation system optimization, transportation pricing, spatiotemporal traffic prediction, etc. The vision of his research is to develop novel models, algorithms, and conduct data-driven quantitative analyses to better manage, operate, and regulate various types of emerging mobility services. He has published more than 50 SCI/SSCI indexed research papers in top-tier journals in the field of transportation research and data mining, such as Transportation Research Part A-F, IEEE Transactions on Intelligence Transportation System, IEEE Transactions on Knowledge and Data Engineering, IEEE Internet of Things, Computer-Aided Civil and Infrastructure Engineering. He has been ranked as the World's Top 2% most-cited scientists by Stanford University since 2023 and was awarded the Honorable Mention of HKSTS Outstanding Dissertation Award in 2020. He is serving as an Editorial Board Member of Transportation Research Part C, Transportation Research Part E, and Travel Behavior and Society.

Academic Positions

• Assistant Professor, 10/2021 - present, Department of Civil Engineering, the University of Hong Kong

• Research Assistant Professor, 08/2020 - 09/2021, Department of Logistic and Maritime Studies, Hong Kong Polytechnic University

Education 

• PhD, 2020, Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology

• B.S., 2016, Department of Civil Engineering, Zhejiang University

Research Interests

1. Smart Transportation & Urban Computing

2. Emerging Mobility Services (e.g., ride-sourcing, taxi, food delivery, last-mile services)

3. Artificial Intelligence for Transportation 

4. Transportation Economics

5. Operational Management & Operations Research