Prof. Steven Weidong Su | Rehabilitation Robot | Research Excellence Award
University of Technology Sydney | Australia
Prof. Steven Weidong Su is a Professor of Control Engineering and Medical Informatics with many years of academic experience across Australia and China. He holds a PhD in Control Engineering from the Australian National University and is currently affiliated with the University of Technology Sydney, FEIT, while serving as Associate Dean Teaching & Research at Shandong First Medical University. His research focuses on rehabilitation robotics, medical artificial intelligence, biomedical signal processing, Rehabilitation Robot and human–machine co-adaptation. Professor Su has led more than 15 competitive national and international research projects and has published over 100 peer-reviewed journal papers indexed in SCI/Scopus, with more than 5,000 citations. He holds multiple patents in rehabilitation robots and wearable sensing technologies, has authored a research monograph, and serves in editorial and senior program committee roles for leading international conferences and journals.
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Featured Publications
Brain–Computer Interface Driven BOPPPS: Empirical Evidence for Enhanced Educational Practices
– Computers & Education, 2026
A Real-Time Framework for EEG Signal Decoding With Graph Neural Networks and Reinforcement Learning
– IEEE Transactions on Neural Networks and Learning Systems, 2025
Multimodal Learning for Non-Small Cell Lung Cancer Prognosis
– Biomedical Signal Processing and Control, 2025
EEG_GLT-Net: Optimising EEG Graphs for Real-Time Motor Imagery Signals Classification
– Biomedical Signal Processing and Control, 2025
Distributed Integral Controllability for Non-Square Processes: A Comprehensive Study and Numerical Analysis
– Journal of the Franklin Institute, 2025