Seunghyeon Lee

Dr Seunghyeon Lee is working as a lecturer in the Faculty of Engineering and Information Technology at the University of Technology Sydney. Prior to this position, he had taken up a researcher position at the University of Canterbury and the University of Hong Kong. He has completed Ph.D. degree at the University of Hong Kong in 2016.

Dr Seunghyeon has about 30 publications as Q1 journals, peer-reviewed conference proceedings, and presentations. He has led most of the publications as the first and the corresponding authors. Contributing to the academic field of transportation engineering, he serves as the reviewers for 11 international journals, including Transportation Research Part B: Methodological, IEEE Transactions on Cybernetics, and Accident Analysis and Prevention. Moreover, he has performed about 20 funded research and consultancy projects in transport engineering with his supervisors in South Korea, Hong Kong, and New Zealand.

Dr Seunghyeon's major research interests are traffic management and control, traffic-flow theory, intelligent transportation systems, deep learning approach, and connected and autonomous traffic systems for multimodal transportation networks. He has carried out numerous research projects, including traffic signal control, real-time big-data surveillance and mining algorithms, car-following models, transport optimisations, traffic guidance and road marking, and preliminary feasibility studies on transport infrastructure, stochastic system modeling, and connected traffic systems structure. His research applies a range of approaches, such as empirical surveys, traffic simulation, data recursive process, mathematical programs, and stochastic differential equations.

Education

• The University of Hong Kong
  Doctor of Philosophy (PhD), Transportation and Highway Engineering
• Ajou University
  Master's degree, Transportation and Highway Engineering
• DTU - Technical University of Denmark
  Exchange Student, Logistics and Transportation
• Ajou University
  Bachelor's degree, Transportation System Engineering