Ali Etemad PhD, P.Eng

Associate Professor

Faculty, Ingenuity Labs Research Institute, Electrical and Computer Engineering
Phone: 613-533-6000 ext. 78862
Walter Light Hall, Room: 408 

Expertise: Human-Centered AI, Affective Computing, Deep Learning, Wearables
Ali  Etemad
Biography Research Teaching Publications Graduate Students

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.


Research Interests 

Dr. Etemad’s research focuses on developing novel artificial intelligence and machine learning algorithms for analyzing, interpreting, and generating human-focused data such as video, audio, text, and wearable signals. The overarching objective of his work is to understand human behaviour, identity, health, and emotional states with the goal of improving user experience, safety and security, health outcomes, and overall quality of life.


For more information about Dr. Etemad’ research, visit his personal webpage: 

Or visit the Human-Centered Artificial Intelligence & Interactive Machines (Aiim) webpage: 


Artificial Intelligence (ELEC472) 

Introduction to Data Science (ELEC292)

Artificial Intelligence and Interactive Systems (ELEC872) 

Principles of Design and Development (ELEC390) 

For more information on Dr. Etemad's publications, please visit

For information on Dr. Etemad's current and past students, please visit:

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