Thomas Fevens

Thomas G. Fevens is a Professor in the Department of Computer Science and Software Engineering at Concordia University, and an Adjunct Professor in the Department of Surgery at McGill University. He holds a PhD in Computing and Information Science from Queen's University (1999), with prior degrees in Astrophysics and Physics. His research focuses on medical imaging applications of deep learning, computational geometry, and surgical software innovation. Notable work includes computer-aided diagnosis systems for breast cancer using cytological images, 3D surgical planning algorithms, and motion tracking frameworks for ACL injury assessment.

Education:

• PhD in Computing and Information Science, Queen's University (1999)
• MSc in Computing and Information Science, Queen's University (1994)
• MSc in Physics (General Relativity), Queen's University (1993)
• BSc in Astrophysics (Honours), Queen's University (1990)

Research emphasizes interdisciplinary applications of AI in healthcare, including:

• Medical image segmentation using U-Net architectures
• Deep learning for tumor localization
• Kinect-based motion analysis systems
• Generative adversarial networks (GANs) for medical imaging

Publications demonstrate contributions to both core computer science (mobile ad hoc networks, computational geometry) and clinical applications (surgical planning, cancer diagnosis). Active in industry collaboration through the ML-MVP lab, focusing on translating AI research into clinical tools.