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Hassan Rivaz is a Full Professor and Research Chair in Medical Imaging Deep Learning at Concordia University. He completed his PhD at Johns Hopkins University in 2011. His research expertise encompasses medical imaging and deep learning with a specific focus on medical image analysis, ultrasound imaging, quantitative ultrasound, and cancer research. Dr. Rivaz has supervised doctoral programs in Electrical Computer Engineering and Computer Science, contributing significantly to the academic community through various editorial roles such as Associate Editor of IEEE Transactions on Medical Imaging and Medical Image Analysis. He has served on organizing committees for major conferences in the field, including MICCAI and ISBI, and has co-organized advanced tutorials on ultrasound imaging techniques, highlighting his commitment to education and knowledge dissemination in his area of expertise.
Administered by the Mel Hoppenheim School of Cinema; focuses on cinematic arts practice and research-creation.