Scholar

David Wong

Google Scholar ID: wwh3-E8AAAAJ

University of Leeds

Machine LearningVital SignsData FusionHealth InformaticsArtificial Intelligence

Citations & Impact

All-time

Citations

1,484

H-index

i10-index

Publications

Co-authors

Contact

Resume

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