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
We develop AI methods that leverage multimodal health data to detect clinically relevant patterns, flag abnormalities, and predict disease trajectories in conditions such as heart disease, chronic respiratory disease, and diabetes—supporting personalized treatment and proactive care. Related projects include T-cell receptor (TCR)–binding prediction for personalized cancer immunotherapy and Parkinson’s disease analysis and progression modeling. - AI + Aging & Elder Care
We develop models for fall detection and near-term fracture risk using wearable and vision-based sensing. We also build video-based remote rehabilitation and functional assessment tools to expand access to high-quality care for rural and underserved populations.
Through innovative research, strategic partnerships, and the training of highly qualified personnel (HQP), we aim to improve patient outcomes and healthcare accessibility. We welcome students and collaborators who are interested 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 (2025-2028). 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 (2026-2031)]
Principal Investigator: Dr. Ed Sykes
School of Computer Science
College of Computational, Mathematical, and Physical Sciences (CCMPS)
University of Guelph
Visit our associated Research Lab: the Quantum Computing lab