Address:	Room 605, Haking Wong Building,   Dept. of Civil Engineering, HKU,   Pokfulam, Hong Kong
Tel:	+852 2559 5337
Mob:	+852 6876 2150
Email:	kejintao@hku.hk
Website:	https://www.civil.hku.hk/kejintao https://www.civil.hku.hk/pp-kejt.html https://sites.google.com/view/kejintao
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Dr. Jintao Ke 柯锦涛 博士

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 smart transportation, smart city, urban computing, shared mobility, machine learning in transportation, operational management for transportation studies, etc. He has published over 30 SCI/SSCI indexed research papers in in top-tier transportation journals, such as Transportation Research Part A/B/C/D/E, IEEE TITS and IEEE TKDE. He serves as Advisory Board Member of Transportation Research Part C: Emerging Technologies and Transportation Research Part E: Logistics and Transportation Review, guest editor of special issues of Transportation Research Part C and Travel Behavior & Society, and referees for a few top transportation journals.

Education

09/2012 – 07/2016	Bachelor of Engineering, Department of Civil Engineering, Zhejiang University (浙江大学), P.R. China.
09/2016 – 07/2020	Ph.D., Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, P.R. China
02/2020 – 07/2020	Exchange student, Department of Civil and Environmental Engineering, The University of Michigan, U.S.

Professional Experience

10/2021 – Present	Present Assistant Professor, Department of Civil Engineering, The University of Hong Kong.
08/2020 – 09/2021	Research Assistant Professor, Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University.
06/2017 – 12/2017	Research Intern, AI Labs, Didi

Areas of Research

Urban Computing & Smart Cities

Machine Learning and Data Mining for Intelligent Transportation Systems

Spatio-Temporal Traffic Pattern Analysis/Prediction

Transport Economics

Smart Mobility On-Demand (Ride-Sharing, Ride-Sourcing, Last-Mile Delivery)

Land-Use and Transportation

Areas of Teaching

Traffic Engineering

Transportation Planning

Transportation Economics

Data Science for Engineering

Statistics for Engineering

Business Analytics