Name: Mohammed Chadli
Affiliation: University Paris-Saclay Evry, IBISC Lab., France
Biography: Mohammed Chadli received his M.Sc (DEA) from the Engineering School INSA-Lyon (France, 1999) and from “Ecole Normale Sup.” (Mohammedia, Morocco), the Ph.D. thesis in Automatic Control from the University of Lorraine (UL), CRAN-Nancy in 2002. He was Lecturer and Assistant Professor at the “Institut National Polytechnique de Lorraine” (UL, 2000-2004). Since 2004, he was Associate Professor at the University of Picardie and is currently a Full Professor at the University Paris-Saclay Evry, IBISC Lab., France. He was a visiting professorship at the TUO-Ostrava (Czech Rep.), UiA (Norway), SMU-Shanghai (2014-2017), NUAA-Nanjing (2018-2024), and the University of Naples Federico II (Italy, 2019).
Dr. Chadli’s research interests include filtering and control problems (FDI, FTC) and applications to vehicle systems, intelligence systems, network systems, and cyber-physical systems. He is the author of books and book chapters (Wiley, Springer, Hermes), numerous articles published in international refereed journals and conference proceedings.
Dr. Chadli is a senior member of IEEE. He is on the editorial board (Editor, Associate Editor) of several international journals, including the IEEE Transactions on Fuzzy Systems, Automatica, the IET Control Theory and Applications, the Franklin Institute Journal, Asian Journal of Control … and was a Guest Editor for Special Issues in international journals and the Vice Dean of the Faculty of Sciences and Technologies (Univ Evry Paris-Saclay). He now serves as the Chair of the IEEE France Section Control Systems Society Chapter, and listed in “100 000 Leading Scientists in the World”.
Name: Xiaoling HU
Affiliation: Hong Kong Polytechnic University, China
Biography: Prof. Xiaoling Hu is an Associate Professor in the Department of Biomedical Engineering at the Hong Kong Polytechnic University. Prof. Hu’s team is a leading group in designing hybrid robots for Automation in stroke rehabilitation. They invented the technology integrating neuromuscular electrical stimulation and robot (NMES-robot) in one system for more effective neural rehabilitation after stroke. The technology has been implemented into a series of robotic systems, from rigid exoskeletons to soft exosuits, for persons with different needs after stroke, e.g., Rehabilitation Sleeve and Mobile Exoneuromusculoskeletons (ENMS) for the upper- and lower-limbs in self-help telerehabilitation. These invented systems received prestigious awards and public recognitions. They have been commercialized by the startups of Prof. Hu's team in Hong Kong and Mainland China for rehabilitation services in the healthcare industry. The upper-limb ENMS is a registered Class II medical device in China and has been recognized by Coherent Market Insights as one of the five key innovations shaping the global rehabilitation robotics market. The lower-limb ENMS is recognized as a trending-now technology in the global market by States Kings Research.
Name: U Kei Cheang
Affiliation: Southern University of Science and Technology (SUSTech), China
Biography: Dr. U Kei Cheang is currently an associate professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech). He earned his Ph.D. in Mechanical Engineering from Drexel University in 2015, where he was a recipient of the NSF Graduate Research Fellowship Program (GRFP), NSF Integrative Graduate Education and Research Traineeship (IGERT), and NSF East Asia and Pacific Summer Institutes (EAPSI) Fellowships. Since joining SUSTech in 2017, Dr. Cheang has led an independent research team focused on the development of micro- and nanorobots. His innovative work on robotic microswimmers was recognized with the UNESCO Netexplo Top 10 Award in 2016. Additionally, he received the MOST High-End Foreign Expert Award in 2019, the Shenzhen Overseas High-Level Talent Award in 2019, the Shenzhen Excellent Young Scholars Award in 2022, and the Guangdong Young Top Talents Award in 2025.
Name: Longchuan Li
Affiliation: Beijing University of Chemical Technology, China
Biography: Longchuan Li received his Ph.D. degree from the Japan Advanced Institute of Science and Technology in 2019. He worked as a postdoctoral researcher and later as an assistant professor at Ritsumeikan University from 2019 to 2022. In 2021, he was awarded a Grant-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS).
He is currently an Associate Professor in the School of Information Science and Technology at Beijing University of Chemical Technology, where he has been recognized as one of the “100 Young Talents.” His research interests include robot locomotion modeling, morphological computation, and nonlinear dynamics analysis. He has served as a committee member for several international conferences, including IROS 2022.
Name: Darwin Tat Ming LAU
Affiliation: Chinese University of Hong Kong (CUHK), China
Biography: Dr. Darwin Tat Ming LAU is currently an Associate Professor at the Department of Mechanical and Automation Engineering, the Chinese University of Hong Kong (CUHK), where he joined in 2015. He received his B. Eng (1st Hons) and B.CS degrees from the University of Melbourne, Australia, in 2008. He received his Ph.D. degree in the area of robotics in 2014 from the University of Melbourne, Australia. From 2014 to 2015, he was a postdoctoral research fellow at the Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris, France. His research focuses on topics in robot manipulation, particularly related to kinematic and dynamic analysis, design, optimisation and control of novel mechanisms, and human-robot teleoperation, including cable-driven parallel robots and bio-inspired robots. In addition to fundamental research, Dr. LAU also has great interest in the application of novel mechanisms to impactful real-world applications, including building construction (such as robotic brick laying, facade cleaning, painting, foundation works and facade inspection), musculoskeletal robots and wearable assistive devices.