Ali Etemad PhD, P.Eng

Dr. Etemad is an Associate Professor at the Department of Electrical and Computer Engineering, Queen's University. He holds an endowed professorship of Mitchell Professor in AI for Human Sensing & Understanding. His main area of research is human-centered machine learning and deep learning. Dr. Etemad received his M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Carleton University, Ottawa, Canada, in 2009 and 2014, respectively. Prior to joining Queen’s, he held several industry positions as lead scientist. He has published over 170 papers in top venues in the area (e.g., NeurIPS, ICLR, AAAI, CVPR, T-PAMI, ECCV, ICCV, etc.), is a co-inventor of 10 patents, and has given over 30 invited talks. Dr. Etemad is an Associate Editor for IEEE Transactions on Affective Computing and IEEE Transactions on Artificial Intelligence. He has served as a PC member/reviewer, and has held organizing roles at various venues. He has received a number of awards including Prize for Excellence in Research, Supervisor of the Year Award, Instructor of the Year Award, and several Best Paper Awards (e.g., at ACM ICMI'23). Dr. Etemad’s lab and research program have been funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada, Ontario Centers of Excellence (OCE), Canadian Foundation for Innovation (CFI), Mitacs, and other organizations, as well as the private sector. He has held visiting faculty positions at the University of Cambridge and Google Research.