I am working as a lecturer, which is equivalent to a tenure-track assistant professor in U.S. systems, in the Faculty of Engineering and Information Technology at the University of Technology Sydney. Prior to this position, I had taken up a researcher position at the University of Canterbury and the University of Hong Kong. I had completed Ph.D. degree at the University of Hong Kong in 2016.

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

My major research interests are;

• traffic management and control

• traffic-flow theory

• intelligent transportation systems

• deep learning approach to transport modelling

• connected and autonomous traffic systems

• multimodal transportation networks.

I have 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

• preliminary feasibility studies on transport infrastructure

• stochastic system modeling

• connected traffic systems.

My research applies a range of approaches, such as empirical surveys, traffic simulation, data recursive process, mathematical programs, and stochastic differential equations.