Purang Abolmaesumi

Wall Scholar

Title

Professor

Department/School

Department of Electrical and Computer Engineering

Faculty

Applied Science

University

UBC

Geographic Location

Canada

Prof. Purang Abolmaesumi received his BSc (1995) and MSc (1997) from Sharif University of Technology, Iran, and his PhD (2002) from UBC, all in electrical engineering. From 2002 to 2009, he was a faculty member with the School of Computing at Queen’s University. He then joined the Department of Electrical and Computer Engineering at UBC, where he is Canada Research Chair, Tier II, in Biomedical Engineering and Professor, with Associate Memberships to the Department of Urologic Sciences and School of Biomedical Engineering.

Prof. Abolmaesumi is the recipient of the Killam Faculty Research Prize, the Killam Award for Excellence in Mentoring and the Killam Faculty Research Fellowship at UBC. He currently serves as an Associate Editor of the IEEE Transactions on Medical Imaging, the top journal in his field. He is a Board Member of the International Society for Computer Aided Surgery, and serves on the program committees of top conferences in his field. He is a member of the Royal Society of Canada.

Prof. Abolmaesumi’s research is at the intersection of Artificial Intelligence (AI), Healthcare, and Biomedical Engineering. He has made seminal contributions to image guided cancer imaging and intervention research, and has received more than 30 international awards. His innovations in medical ultrasound imaging are used globally at leading research institutions. His translational research has mobilized an international network of interdisciplinary researchers and industry on the development of new biomedical engineering solutions with direct impact on patient care.

Primary Recipient Awards

Purang Abolmaesumi – Wall Scholars – 2020

During his term as a Peter Wall Scholar, Prof. Abolmaesumi plans to engage a transdisciplinary group of scholars to seek breakthrough innovations in AI research and applications. Some of the key questions include transparency, accountability, fairness, ethics, privacy and important considerations for inclusion and diversity in the context of next generation AI solutions for widespread adoption.

Purang Abolmaesumi – Early Career Scholars – 2010