Prof C.W. Lim is currently a registered professional engineer (RPE). He received a first degree from Universiti Teknologi Malaysia, a Master's Degree and PhD from National University of Singapore and Nanyang Technological University, respectively. Prior to joining CityU, he was a post-doctoral research fellow at Department of Civil Engineering, The University of Queensland and Department of Mechanical Engineering, The University of Hong Kong. Prof. Lim is also a visiting professor at various universities including the University of Western Sydney, Dalian University of Technology, etc. He has expertise in vibration of plate and shell structures, dynamics of smart piezoelectric structures, nanomechanics and symplectic elasticity. He is the Editor for Journal of Mechanics of Materials and Structures (JoMMS), Associate Editor (Asia-Pacific Region) for Journal of Vibration Engineering & Technologies (JVET), Associate Editor for International Journal of Bifurcation and Chaos (IJBC), International Subject Editor for Applied Mathematical Modelling (AMM), and also on the editorial board of some other international journals. He has published among one of the well-selling titles in Engineering Mechanics entitled "Symplectic Elasticity", co-authored with W.A. Yao and W.X. Zhong, as recorded in April 2010 by the publisher, World Scientific. He has published more than 300 international journal papers, accumulated more than 3000 independent citations, and one of the papers was granted the IJSS 2004-2008 most cited article award. He was also awarded Top Referees in 2009, Proceedings A, The Royal Society.
Dr. Zhenjie Zheng, Ph.D. from Tsinghua University, is currently an Assistant Professor at The Hong Kong Polytechnic University and a researcher in the Mobility AI Lab. His research focuses on Machine Learning in Intelligent Traffic Management, AI-based Network-level Traffic State Estimation, Data-driven Urban Incident Detection and Management, and IoT-enabled Intelligent Traffic Control. Professor Zheng has achieved significant accomplishments in the fields of Intelligent Transportation Systems, Urban Traffic Management, and Traffic Safety and Emergency Management. He has published 12 papers in SCI/SSCI-indexed journals, with 9 appearing in Q1 Top Journals as ranked by the Chinese Academy of Sciences (CAS). These include prestigious publications such as Transportation Science, Transportation Research Part B/C, and high-impact journals like Accident Analysis & Prevention and Transportmetrica A. His research portfolio spans Intelligent Traffic Monitoring, Non-recurrent Congestion Modeling, AI-based Traffic Signal Optimization, and Drone-based Traffic Monitoring. This work contributes to advancing both theoretical and applied aspects of Intelligent Traffic Management.
Prof. Hao Liu received his Bachelor of Engineering in Aircraft Design from Nanjing University of Aeronautics and Astronautics in 1998. He earned his Master of Engineering in Mechatronics from Huazhong University of Science and Technology in 2004, and obtained his Ph.D. in Mechanical Engineering from Keimyung University (South Korea) in 2010. Currently, he serves as a tenured professor in the Department of Mechanical Engineering at Keimyung University. His research interests include dynamical systems analysis, control systems design, modeling and analysis of pneumatic and hydraulic systems, development of control algorithms for autonomous vehicles, State of Health (SOH) of lithium-ion batteries, and active noise control.
Shunming Li, PhD, second grade professor, doctoral supervisor, expert in mechanical signal processing, condition detection and diagnosis, chief scientist of the National Key R&D Program project “Precision Detection of Weak Electrical Signals and High-Speed Data Processing Technology”. He has presided over and participated in the completion of more than 20 national major and key R & D program projects; completed more than 40 projects of enterprises and research institutes; put forward a number of international pioneering technological methods, and as the first winner of six provincial and ministerial-level scientific and technological progress awards; published more than 200 SCI/EI papers, of which two are international highly cited, two domestic highly cited, and the annual high citation of the international SCI magazines. Obtained more than 30 invention patents and soft writings, edited and published two monographs on modern vibration signal processing technology and applications Li Shun Moet, Ph.D., second-class professor, doctoral tutor, mechanical signal processing, condition detection and diagnosis experts, the national key research and development program project “precision detection of weak electrical signals and high-speed data processing technology,” the Chief Scientist. He has presided over and participated in the completion of more than 20 national major and key R & D program projects; completed more than 40 projects of enterprises and research institutes; put forward a number of international pioneering technological methods, and won 6 provincial and ministerial scientific and technological progress awards as the first winner; published more than 200 SCI/EI papers, including 2 international highly cited, 2 domestic highly cited, and the annual high citation of the international SCI magazines. He has obtained more than 30 invention patents and soft writings, and has edited and published two monographs on modern vibration signal processing technology and application.
Assoc. Prof. Leong Lee Vien is a full-time academic in the School of Housing, Architecture and Planning at the University of Science Malaysia (USM). He has been a lecturer in the Department of Civil Engineering since 2004 and was promoted to Associate Professor in 2012. He holds a practicing certificate as a Professional Engineer from the Board of Engineers Malaysia (BEM), is a full member of the Institution of Engineers Malaysia (IEM), and is a Life Member of the Road Engineering Association of Malaysia (REAM) and the South East Asian Road Engineering Association (REAAA). He has led or participated in more than 100 transportation consultancy projects in the field of transportation engineering. Her research interests cover the areas of road capacity studies, traffic impact assessment (TIA), motorcycle driving behavior, traffic demand modeling, trip generation and traffic engineering. He has extensive research achievements in traffic planning and management, and transportation engineering. He has published 27 academic papers and completed 12 national research fund projects.
Ankit R. Patel is a transport researcher and currently associated with the University of Minho, Portugal. He has been involved as a keynote speaker in many international events, such as Casablanca Smart City, Morocco (2024); Navigate Mobility, Prague, Czech Republic (2024); Smarter Mobility Africa, Johannesburg, South Africa (2024); 3rd IEEE Odisha International Conference on Electrical Power Engineering, Communication, and Computing Technology (2024), Bhubaneswar, India; International Conference on Energy, Materials, and Information Technology (2024), Ranchi, India; International Conference on Sustainable Futures: Interdisciplinary Perspectives on Education and Technology 5.0 (2025), Surat, India; 8th International Conference on Electronics, Materials Engineering, and Nanotechnology (2025), Kolkata, India; International Conference on AI-Driven Human-Centric Solutions and Sustainable Transformations (2025), Gwalior, India; 1st International Conference on Sustainable Computing and Intelligent Systems (2025), Jaipur, India; and 2nd Vision Zero Summit: An International Conference on Resilient Urbanism and Safe Mobility (2025), Bhopal, India. He has associated with various prestigious international conferences like ACM (CHI, NordiCHI, OzCHI, AutomotiveUI, Mindtrek, COMPASS, GROUP, IMX, MuC, India HCI), IEEE (ITEC, AFRICON, e-Science, MELECON, LOGISTIQUA, WF-PST, ECCE, GTSNZ, SeFeT), Design Research Society (LXD), and IFAC (CTS). At the ASME/IEEE 2025 Joint Rail Conference (JRC), he will serve as the paper chair. He also serves as a lead editor for the special issue in the Journal on Multimodal User Interfaces (User-Centered Advanced Driver Assistance Systems) and Journal of Social Economic Research, and as an editorial board member in the Journal of Sustainable Urban Mobility; Transportation Development Research; Edelweiss Applied Science and Technology; and Russian Open Medical Journal. His research interests lie in the fields of human factors and interaction, smart cities, policy and design, sustainable and socially inclusive transportation.