Matthew Toews

Matthew Toews is a researcher in the Department of Systems Engineering at École de technologie supérieure (ÉTS), with a focus on computer vision, medical image analysis, and machine learning. His work bridges theoretical advancements in

• image registration
• deep learning
• information theory
• biometric recognition

with practical applications in healthcare and satellite imaging.

Training:

• BASc (University of British Columbia)
• M.Eng & Ph.D. (McGill University)
• Postdoctoral Research (Harvard Medical School)

Research interests include scale-invariant feature detection, AI in neuroimaging, and automated medical diagnostics. His publications demonstrate expertise in medical image segmentation, GAN-based ultrasound imaging, and neuroanatomical biomarkers.

Recent trends in his peer-reviewed work span:

• decentralized machine learning via blockchain
• ultrasound-GAN fusion
• automated plagiocephaly diagnosis
• neuroimage fingerprinting
• 3D keypoint analysis
• information flow in CNNs

He actively supervises graduate students in topics ranging from symmetry in neural networks to granular material analysis using Unity, with affiliations to the LIVIA and LIO-ÉTS laboratories. His research receives support from grants in health technology innovation and AI engineering.