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Dr James Chung-wai CHEUNG

Dr James Chung-wai CHEUNG

Research Assistant Professor

Designs and applies new computing strategies and sensing technologies for diagnostic imaging and rehabilitation


Dr. James Chung-Wai Cheung received his Bachelor degree in applied physics in City University of Hong Kong in 1992, University of London Graduate Diploma in Astrophysics, University of East London, Master degree in Business Information System in 1993, while he obtained his Master and PhD degree in Healthcare with technology in 2005, and biomedical engineering in 2013, respectively in The Hong Kong Polytechnic University. 

He is currently a research assistant professor at the Department of Biomedical Engineering of The Hong Kong Polytechnic University. He also serves as a honour advisor in Yan Chai Hospitals Social Services department towards the use of gerontechology in rehabilitation centres and elderly hostels. He engages in undergraduate teaching on the subject “BME1D02 Wearable Healthcare and Fittness Devices for Everyone”, “BME1D03 Technologies for Smart Ageing”, and “BME3S02 Assistive Technologies: Service Learning Towards the Elderly and Disabled”, which involves heavily in elements covering machine learning, data analytics and prototype development. In addition, he is invited to serve as a guest lecturer in Faculty of Medicine of The Chinese University of Hong Kong on “AI-Technologies in Dementia Caring”

The research interest of Dr. Cheung dedicates to artificial intelligence, wearable technologies and IoT, Medical imaging and signal processing, robotics, and their applications to elderly, such as dementia, and dysphagia, hostels management. He joined several projects and produced several patents on image recognition and optimization for assessing spinal problems, IoT sensors monitoring and classifying elderly behaviour in hostels, NLP-based therapeutic dolls for elderly dementia, etc. He is currently working on the application of deep learning to detect and screen dysphagia using acoustic-sonographic sensors, as well as a new deep learning-based algorithms to improve knee osteoarthritis prediction, and sleep posture classification and quality of sleep analysis. He is also mentoring projects on Metaverse and interactive robotic companion for elderlies.  

Research Interests

  • Medical imaging and data visualization
  • Artificial intelligent and Deep learning
  • Wearable device technologies
  • Robotic smart ageing technologies
  • Augmented Reality
  • Musculoskeletal tissue
  • Signal processing
  • Dysphagia and Dementia

Education and Academic Qualifications

  • PhD in Biomedical Engineering, Interdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University
  • MSc. in Health Care with Technology, Department of Health Technology and Informatics, The Hong Kong Polytechnics University
  • Graduate Diploma in Astrophysics, Astronomy Unit, School of Mathematics, University of London (Queen Mary College)
  • MSc. in Business Information System, Department of Engineering and Computing, University of East London

Academic and Professional Experience

  • Research Assistant Professor, Dept of BME, The Hong Kong Polytechnic University,  2020 - Current
  • Senior Scientific Officer, Jockey Club Smart Ageing Hub, Dept of BME, The Hong Kong Polytechnic University,  2017 - 2020
  • Scientific Officer, Interdisciplinary Division of BME, The Hong Kong Polytechnic University,  2016 - 2017
  • Post-Doctoral fellow, Interdisciplinary Division of BME, The Hong Kong Polytechnic University,  2014 - 2016
  • Project Associate/Post-Doctoral Project Associate, Interdisciplinary Division of BME, The Hong Kong Polytechnic University,  2012 - 2014
  • Project Associate, Department of HTI, The Hong Kong Polytechnic University,  2011 - 2012
  • Project Associate, Department of HTI, The Hong Kong Polytechnic University,  2007 - 2008

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