We are a research group in the School of Computer Science, College of Computational, Mathematical, and Physical Sciences (CCMPS), University of Guelph. We build AI systems for healthcare and train undergraduate, MSc, PhD, and postdoctoral researchers to turn ideas into impact:
Research focus:
- AI + Chronic Disease Management
Analyze multimodal health data to detect patterns, flag abnormalities, and predict progression in conditions such as heart disease, chronic respiratory disease, and diabetes—supporting personalized treatment. - AI + Aging & Elder Care
Models for fall detection, imminent fracture risk, and real-time monitoring using smart clothing and wearables to anticipate care needs. - AI + Access & Resource Allocation
Telemedicine and decision-support tools: AI-assisted diagnosis of skin conditions, range-of-motion assessment, remote rehabilitation, and clinical NLP to expand high-quality care for underserved populations.
Through innovative research, strategic partnerships, and the training of highly qualified personnel (HQP), we aim to improve patient outcomes and healthcare accessibility. Join us in advancing AI for healthier lives.
Additional projects in the AI Lab:
- Homegrown Innovation Challenge: Autonomous root zone management system using AI. Collaboration with Dr. Youbin Zheng (School of Environmental Sciences, Ontario Agricultural College) and Dr. Ed Sykes (School of Computer Science). Supports a postdoctoral fellow and a PhD student for three years. Funding: Weston Family Foundation. See the Project Announcement for more information.
- AI-Driven Intention Prediction for Enhanced UX in Mobile Banking [Funding provided by NSERC Alliance Advantage and MITACS (2025-2030)]
Principal Investigator: Dr. Ed Sykes
School of Computer Science
College of Computational, Mathematical, and Physical Sciences (CCMPS)
University of Guelph