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Dr. Edward Sykes is an Assistant Professor in the School of Computer Science at the University of Guelph. His research is dedicated to improving the quality of life for Canada's aging population through the innovative development of advanced AI technologies. With a decade of contributions to the fields of mHealth and AI in healthcare, Dr. Sykes has co-authored 70 peer-reviewed scientific articles, including 28 journal papers and 44 conference papers. His research interests include AI in chronic disease management, elder care, and healthcare resource allocation. In chronic disease management, he focuses on developing AI solutions to analyze datasets related to heart disease, chronic respiratory conditions, and diabetes to enable personalized treatment plans. In the context of aging populations, his work aims to create AI models that predict and anticipate healthcare needs for the elderly, leveraging smart clothing and wearable devices for real-time health monitoring. Additionally, Dr. Sykes addresses disparities in healthcare access by developing AI-enhanced telemedicine solutions that expand access to quality healthcare in underserved populations.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).