Hassan Rivaz, PhD, PEng (Ontario)
- Professor, Electrical and Computer Engineering
- Concordia University Research Chair in Medical Imaging with Deep Learning
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Supervised programs: Electrical and Computer Engineering (PhD) | Computer Science (PhD)
Research areas: Deep learning, AI, Medical image analysis, Machine learning, Ultrasound imaging, Artificial Intelligence, Quantitative ultrasound, QUS, Medical imaging, Cancer, Lymphedema
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Biography
Education
PhD, Johns Hopkins University, 2011
About
Dr. Rivaz is a Full Professor and holds the Research Chair in Medical Imaging with Deep Learning. He is a member of the Royal Society of Canada, College of New Scholars, and an Associate Member of Mila – Quebec AI Institute. Please visit the personal page of Dr. Rivaz or IMPACT laboratory.
International service
Associate Editor of IEEE TMI (since 2017), Distinguished Associate Editor Award (2025)
Associate Editor of MedIA (since 2025)
Associate Editor of IEEE TUFFC (2018-2025)
Associate Editor of IEEE OJEMB (2021-2024)
Area Chair of MICCAI from 2017 to 2024
Organizing committee of IPCAI 2027
Organizing committee of IEEE IUS 2023
Organizing committee of IEEE ISBI 2021
Organizing committee of IEEE EMBC 2020
Co-organizer of advanced ultrasound imaging tutorial in IEEE ISBI 2019
Co-organizer of ultrasound elastography tutorial in IEEE ISBI 2018
Co-organizer of MICCAI 2019 CURIOUS Challenge
Co-organizer of MICCAI 2018 CURIOUS Challenge
Co-organizer of MICCAI 2018 CereVis Workshop