Greg Mori

Scientist | Computer Vision, Machine Learning

Type: Scientist

Site: Vancouver

Stream: Prime

Professor Greg Mori received his PhD degree in computer science from the University of California, Berkeley in 2004. He received an Hon. BSc in computer science and mathematics with high distinction from the University of Toronto in 1999. He spent one year (1997-1998) as an intern at Advanced Telecommunications Research (ATR) in Kyoto, Japan. He spent part of 2014-2015 as a visiting scientist at Google in Mountain View, CA. After graduating from Berkeley, he returned home to Vancouver and is currently a professor and the director of the School of Computing Science at Simon Fraser University.

Professor Mori’s research interests are in computer vision and machine learning. He has published extensively on these topics, with more than 100 peer-reviewed papers that have been cited more than 9000 times (h-index 40). He has been widely recognized for his outstanding research and teaching. He received NSERC Discovery Accelerator Supplement awards twice (2008 and 2016), the 2008 Canadian Image Processing and Pattern Recognition Society (CIPPRS) Award for Research Excellence and Service, the 2011 SFU FAS Award for Excellence in Research, and a 2017 ICCV Helmholtz Prize. He has received research support from international and domestic companies and organizations on large-scale human motion data analysis (e.g., Google, NVIDIA, MDA, IARPA). He serves as a scientific advisor to seven startup companies in related areas. He has graduated eight PhD and 28 MSc students, many of whom have gone on to roles in leading companies (Google, Microsoft, Apple) and top-tier academic roles (postdocs at Stanford, UIUC). He currently supervises a team of two PDFs, nine PhDs, seven MSc students, and two BSc students. He serves on the editorial boards of International Journal of Computer Vision and IEEE Transactions in Pattern Analysis and Machine Intelligence, the top two journals in this area. He is also a program chair for IEEE Computer Vision and Pattern Recognition 2020, the leading annual conference.