Alex Wong

Alex Wong is a Professor in the Department of Systems Design Engineering at the University of Waterloo. His research focuses on artificial intelligence, medical imaging, computer vision, and their applications in healthcare technologies. His work bridges engineering and biomedical domains, with emphasis on developing advanced algorithms for diagnostic imaging, medical data analysis, and healthcare system optimization.

Key research interests include AI-driven medical imaging modalities such as optical coherence tomography (OCT), electroretinography (ERG), and ultrasound, as well as domain adaptation, self-supervised learning, and synthetic data generation. He has developed systems for non-invasive health monitoring (e.g., radar-based gait analysis for aging populations) and AI frameworks for disease diagnosis (e.g., cancer segmentation, HIV/Hepatitis C co-infection studies).

Recent publications highlight advancements in diffusion models for image super-resolution, semantics-preserving transformations in medical imaging, and AI applications in food portion estimation and nutrition tracking (e.g., NutritionVerse datasets). His work often integrates hardware-software co-design, such as Powell lens-based OCT systems and radar antenna innovations for healthcare monitoring.

Notable contributions include the Cancer-Net and NutritionVerse datasets, which provide benchmarks for medical AI research. His research spans interdisciplinary collaborations in robotics, biomedical engineering, and public health, addressing challenges in aging, chronic disease management, and healthcare accessibility.