Prof. Hua-Liang Wei, University of Sheffield, UK
Dr Hua-Liang Wei received his Ph.D. degree in the Department of Automatic Control and Systems Engineering, the University of Sheffield, UK, in 2004, where he is currently a faculty member in School of Electrical and Electronic Engineering. He leads three major interdisciplinary research labs and centres: the Dynamic Modelling, Data Mining and Decision-Making Lab, the Digital Medicine & Computational Neuroscience Lab, and the Solar Physics and Space Plasma Research Centre. His research pioneers and advances core data-driven methodologies in nonlinear system identification, artificial intelligence, interpretable machine learning and deep learning, applied to address high impact emerging challenges across diverse domains industrial engineering, meteorological and space weather, and biomedical neuroscience. He has secured multi-million-pound funding from bodies such as the EPSRC, NERC, STFC, EU Horizon 2020, and the Royal Society. With nearly 200 published papers addressing complex engineering and healthcare challenges, Dr. Wei was recognised in the Stanford-Elsevier World Top 2% Scientists list (2023–2025).
