Ali Etemad PhD, P.Eng

Associate Professor

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

Expertise: Deep Learning, Artificial Intelligence, Wearables, Smart Environments
Ali  Etemad
Biography Research Teaching Publications Graduate Students

Dr. Etemad is an Associate Professor, as well as a Mitchell Professor in AI for Human Sensing & Understanding at the Department of Electrical and Computer Engineering, Queen’s University, Canada, where he leads the Ambient Intelligence and Interactive Machines (Aiim) lab. He is also a faculty member at Ingenuity Labs Research Institute. He received his MASc and PhD degrees in Electrical and Computer Engineering from Carleton University, Ottawa, Canada, in 2009 and 2014, respectively.  His main areas of research are machine learning and deep learning focused on human-centered applications with wearables, smart devices, and smart environments. Prior to joining Queen’s, he led AI and machine learning teams in the industry. 

His work has appeared in 1410+ top-tier venues including CVPR, AAAI, ICCV, ECCV, ACM CHI, ICASSP, Interspeech, ICPR, FG, IEEE T-PAMI, IEEE T-AFFC, IEEE T-IP, IEEE T-AI, IEEE T-ASLP, IEEE T-IFS, IEEE T-BIOM, IEEE T-HMS, IEEE T-NSRE, IEEE T-GRS, IEEE IoT J., and others. He is a co-inventor of 9 patents and has given over 20 invited talks at different venues.  Dr. Etemad is an Associate Editor for IEEE Transactions on Artificial Intelligence, and has been a PC member/reviewer for NeurIPS, ICML, CVPR, ICLR, AAAI, ACII (senior PC), ICASSP, ISWC, ICMI, VRST, BSN, Interspeech, CHI, SMC, AIVR, SAP (senior PC), among others. He is also an active reviewer for journals such as IEEE T-AFFC, IEEE T-ASLP, IEEE T-NNLS, IEEE T-AI, IEEE T-HMS, IEEE T-KDD, IEEE T-NSRE, IEEE JBHI, Patt. Rec., Neural. Comput. Appl., CVIU, Appl. Intell., and many others. Dr. Etemad has been the Industry Relations Chair for Canadian Conference on AI (2019), Publicity Co-Chair for European Workshop on Visual Information Processing (2022), and General Chair for the AAAI Workshop on Human-Centric Self-Supervised Learning (2022). 

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 CGI).  
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. 



Research Interests 

  • Machine Learning and Deep Learning 
  • Artificial Intelligence 
  • Human-Machine Systems 
  • Wearable Technologies 
  • Affective Computing 
  • Smart Environments 
  • Pervasive Computing 
  • Human-Computer Interaction 


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

Or visit the Ambient Intelligence & Interactive Machines Laboratory (Aiim Lab) webpage: 


Artificial Intelligence (ELEC472) 
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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