Dr. Ali Etemad

Biography

Ali Etemad is an Associate Professor at Queen's University in the Department of Electrical and Computer Engineering. He holds an endowed professorship as the Mitchell Professor in AI Human Sensing & Understanding. Etemad's main research areas include Human-Centered Machine Learning, Affective Computing, and Deep Learning. He received his M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Carleton University in Ottawa, Canada, in 2009 and 2014, respectively. Prior to joining Queen's, he worked in industry as a lead scientist and has published over 170 papers in top venues, including NeurIPS, ICLR, and CVPR. Etemad is a co-inventor on 10 patents and has delivered 30 invited talks. He serves as an Associate Editor for the IEEE Transactions on Affective Computing and has held various organizing and reviewing roles in multiple conferences. His research has been funded by notable organizations including the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Ontario Centers of Excellence (OCE). Etemad has held visiting faculty positions at the University of Cambridge and Google Research. His lab focuses on developing novel AI and machine learning algorithms to analyze and interpret human-focused data across various modalities to enhance user experience and improve health outcomes.

Research Interests

Courses