Discover the distinguished keynote speakers who will share their expertise and insights at T-LOG 2026. Our speakers are leading researchers and practitioners in transportation and logistics, bringing diverse perspectives from around the world.
Professor Shuaian Wang
Hong Kong Polytechnic University (PolyU), China
Dr. Wang is currently Professor at The Hong Kong Polytechnic University (PolyU). Prior to joining PolyU, he worked as a faculty member at Old Dominion University, USA, and the University of Wollongong, Australia. Dr. Wang's research interests include big data in shipping, green shipping, shipping operations management, port planning and operations, urban transport network modeling, and logistics and supply chain management. Dr. Wang has published over 300 papers in journals such as Transportation Research Part B, Transportation Science, Management Science, and Operations Research. Dr. Wang is a co-editor-in-chief of Transportation Research Part E, an editor-in-chief of Cleaner Logistics and Supply Chain, a founding editor-in-chief of Communications in Transportation Research, an area editor of Flexible Services and Manufacturing Journal, an associate editor of Transportation Research Part B, Transportmetrica A, Transportation Letters, and Transportation Research Record. Dr. Wang dedicates to rethinking and proposing innovative solutions to improve the efficiency of maritime and urban transportation systems, to promote environmentally friendly and sustainable practices, and to transform business and engineering education.
Title: [Talk Title to be Announced]
The abstract of the keynote speech will be provided here.
Professor Siqian Shen
University of Michigan at Ann Arbor, USA
Prof. Shen is currently Professor of Industrial and Operations Engineering at the University of Michigan at Ann Arbor. She is the recipient of the 2025 Institute of Industrial and Systems Engineers (IISE) Fellow Award, 2017 Department of Energy (DoE) Early Career Award, and 2012 IBM Smarter Planet Innovation Faculty Award. She currently serves in the editorial boards for Operations Research, Manufacturing & Service Operations Management, IISE Transactions. She has served as an elected board member for the INFORMS Computing Society, track chairs for various IISE/INFORMS conferences, and the general associate chair for the 2022 INFORMS Annual Meeting. She was a program director in the US National Science Foundation from 2023-2025 and an Associate Director for the Michigan Institute for Computational Discovery and Engineering (MICDE) from 2016-2023.
Title: [Talk Title to be Announced]
The abstract of the keynote speech will be provided here.
Professor Ziaul Haque Munim
University of South-Eastern Norway – Campus Vestfold, Norway
Professor Munim's main research interests include maritime transport, autonomous shipping, and artificial intelligence applications. His research has appeared in leading maritime, management, and engineering journals. Several of his published research have been most cited and most downloaded in academic journal over the years. He has received several best paper awards from journals and conferences.
Title: Towards real-time maritime accident risk prediction.
Maritime accidents remain a major concern for stakeholders in the shipping industry. The ability to predict the probability of such incidents in real time would enable timely interventions and risk mitigation. Advances in artificial intelligence (AI) and big data analytics offer significant potential in this regard; however, important challenges remain. This talk presents an overview of the state of the art in maritime accident risk prediction using AI, highlights key methodological and data-related limitations, and outlines future pathways towards achieving reliable real-time risk prediction in maritime operations.
Professor Wei Hua Lin
University of Arizona, USA
Wei Lin is a Professor of Systems and Industrial Engineering at the University of Arizona. He received his PhD in Civil Engineering from the University of California at Berkeley. He has worked as a postdoctoral researcher at the PATH program of the University of California at Berkeley. He is the past paper review coordinator for the Intelligent Transportation Systems Committee of Transportation Research Board, National Research Council, and is currently the associate editor of IEEE Transaction on Intelligent Transportation Systems. He is the author/coauthor of over 70 papers and his research areas cover traffic control, logistics systems analysis, and network optimization.
Title: Vehicle–Traffic Control Interaction: The Role of AI in Intelligent Transportation Systems.
Over the past three decades or so, numerous transportation initiatives have been launched, from smart roads to automated highway systems (AHS) and self-driving vehicles. In this talk, we identify the similarities and differences of those initiatives and draw lessons from them to evaluate the new opportunities in utilizing the cutting-edge technology in information and communication to make our transportation system more efficient. With the rapid development in artificial intelligence, "interaction” has become a key feature of AI which has been incorporated into many systems. We discuss from the system’s perspective how the interaction between individual vehicles and system control can be realized in a self-organizing system to improve the efficiency of a transportation system in terms of cost reduction and increased system throughput while ensuring privacy and fairness/equality.
