Scholar
David Wong
Google Scholar ID: wwh3-E8AAAAJ
University of Leeds
Citations & Impact
Citations
1,484
H-index
21
i10-index
34
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Research focuses on investigating the impact of using continuous signals to assist clinicians in diagnosing and monitoring patients
- - Specific research projects include:
- - Vital sign data fusion to detect early deterioration in in-hospital patients using machine learning techniques
- - Diagnosis of cardiac conditions from ECG data using neural networks
- - Computer vision methods to quantify symptoms of movement disorders from video
Research Experience
- - Previously based at the Centre for Health Informatics and the Department of Computer Science at the University of Manchester
- - Post-doctoral researcher at the Institute of Biomedical Engineering, University of Oxford
- - Lecturer in Engineering Science at Brasenose College, teaching undergraduate engineering mathematics
- - Lectured on Biosignal Processing and Mathematical Methods within the CDT in Healthcare Innovation D.Phil programme
- - A primary contributor to the SEND e-observation system used within the Oxford University and South Warwickshire Foundation Trusts to record nursing observations for all hospital in-patients
Education
- M.Eng in Engineering Science from the University of Oxford; supervised by Prof. Lionel Tarassenko CBE, Head of the Department of Engineering Science
Background
- Associate Professor of Health Data Science and Health Informatics. Research interests include Machine Learning, Biomedical Signal Processing, Artificial Intelligence, and Vital Signs.
Miscellany
- Turing Fellow, part of the Computer Vision Neurology collaborative group
Co-authors