Ali Etemad, PhD, PEng, SMIEEE

Research focus: Artificial intelligence and deep learning, human-centered AI, Affective computing, activity analysis, biometrics, health analytics, intelligent human-machine systems

Biography (click here)

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, and leads the Ambient Intelligence and Interactive Machines (Aiim) lab. 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 25 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 Supervisor of the Year Award (at Queen’s), Instructor of the Year Award (at Queen’s), 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 is currently a Visiting Fellow at the University of Cambridge and has previously been a Visiting Faculty at Google Research.

Selected recent publications


Full list of publications - Google Scholar

Professional service

Journal Editorship


Conference Organization and Chairing


Conference Area Chair/Senior Program Committee/Meta-reviewer


Conference Program/Review Committee


Journal Review


Grant Review

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Education