Find an expert

Dr. Mark Hickman is the TAP Chair and Professor of Transport Engineering within the School of Civil Engineering at the University of Queensland. Prof. Hickman has taught courses and performed research in public transit planning and operations, travel demand modelling, and traffic engineering. His areas of research interest and expertise include public transit planning and operations, urban transportation planning and modelling, and the development of sustainable transport innovations and policies.

Jiwon Kim is an Associate Professor in Transport Engineering and the Director of Higher Degree by Research in the School of Civil Engineering at the University of Queensland. She was a DECRA Fellow (2019-2022) sponsored by the Australian Research Council. She joined UQ in 2014 after completing her PhD research at Northwestern University. Prior to joining Northwestern, she worked at Samsung C&T (Engineering & Construction Group). She received Bachelor’s and Master’s degrees in civil engineering from Korea University.

Her research interests broadly encompass the application of Artificial Intelligence and Machine Learning (AI/ML) to enhance prediction, automation, and insight generation in transportation and urban mobility. She is passionate about developing intelligent autonomous systems that facilitate real-time traffic management and control, mobility service optimization, and traveller support. Her current research explores the potential of deep learning, reinforcement learning, and other cutting-edge AI/ML approaches to achieve these objectives.

Dr. Saeed Mohammadian is a postdoctoral research fellow in Transport Engineering. His primary research is on understanding freeway traffic flow dynamics and their safety implication with a special focus on the role of human factors. As part of his doctoral work, he has conducted critical meta-research on the state-of-the-art of macroscopic traffic flow modelling, from both theoretical and practical perspectives. The central part of his doctoral thesis develops unifiable mathematical models of traffic flow dynamics and rear-end crashes and presents new insight into the role of human factors on complex traffic phenomena and traffic safety.

His main work at UQ involves conducting research on driver interactions with connected and automated vehicles and studying the implications for both congestions and crashes. He is currently involved in several research projects related to freeway traffic flow modelling and control and safety assessment. His research outcomes can be explicitly utilized in traffic control research for moving towards faster and safer roads.