Professor Zhi-Qiang Zhang
- Position: Professor of Biomedical Engineering
- Areas of expertise: Machine Learning/Artificial Intelligence, Computational In-silico Modelling, Neurorehabilitation, Musculoskeletal Modelling, Biomechanics, Rehabilitation Robotics, Physiological Signal Processing
- Email: Z.Zhang3@leeds.ac.uk
- Location: EEE 169
- Website: LinkedIn | Googlescholar | ORCID
Profile
Professor Zhang currently holds the position of Chair of Biomedical Engineering. His research lies at the intersection of artificial intelligence, robotics, and biomedical engineering. After earning his Ph.D. in Electrical Engineering from the University of Chinese Academy of Sciences in 2010, he joined Imperial College London as a research associate, where he worked for five and a half years before moving to the University of Leeds in 2016.
His work aims to bridge the gap between engineering and medicine, advancing innovative solutions in digital healthcare and personalized medicine. His research interests encompass neurorehabilitation, rehabilitation robotics, human biomechanics, computational modeling and simulation, AI, and wearable sensing technologies, with a strong focus on transformative technologies that improve human health and rehabilitation outcomes.
Research interests
Computer Modellign and Simulation, Machine Learning/Artificial Intelligence, Computational In-silico Modelling
Neurorehabilitation, Neuromuscular Modelling, Human Biomechanics,
Rehabilitation Robotics, Wearable Sensing and Robotic, Soft Robotics,
Digital Medicine, Brain-Computer Interface, Physiological Signal Processing
<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>Research groups and institutes
- Institute of Robotics, Autonomous Systems and Sensing
- Robotics
- Assistive and rehabilitation robotics
- Artificial Intelligence
Projects
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<li><a href="//phd.leeds.ac.uk/project/2070-computational-neuromusculoskeletal-modelling">Computational Neuromusculoskeletal Modelling</a></li>
<li><a href="//phd.leeds.ac.uk/project/2072-machine-learning-and-deep-learning-for-physiological-signal-processing">Machine Learning and Deep Learning for Physiological Signal Processing</a></li>
<li><a href="//phd.leeds.ac.uk/project/2071-soft-sensing-and-actuation-for-upper-limb-rehabilitation">Soft Sensing and Actuation for Upper Limb Rehabilitation</a></li>