Publications: Over 190 papers in top conferences (e.g., NeurIPS, ICLR, AAAI, CVPR, ECCV, ICCV, ICASSP, CHI, etc.) and journals (e.g., TMLR, T-PAMI, T-AFFC, T-IP, T-IFS, T-ITS, IoT J., JBHI, T-NSRE, T-ASLP, etc.); Patents: Co-inventor of 10 patents; Awards: Received the Queen's Prize for Excellence in Research, the Queen's Supervisor of the Year Award, the Queen's Instructor of the Year Award, and several Best Paper Awards (e.g., at ACM ICMI'23).
Research Experience
Work Experience: Held several industry positions as a lead scientist; Research Projects: Leads research in human-centered machine learning and deep learning; Positions: Currently an Associate Professor at Queen’s University, and has held visiting faculty positions at Google Research and the University of Cambridge.
Education
Degrees: M.A.Sc., Ph.D.; School: Carleton University; Major: Electrical and Computer Engineering; Time: M.A.Sc. in 2009, Ph.D. in 2014.
Background
Research Interests: Artificial intelligence and deep learning, human-centered AI, affective computing, activity analysis, biometrics, health analytics, intelligent human-machine systems. Biography: Dr. Etemad is an Associate Professor in the Department of Electrical and Computer Engineering at Queen's University, Canada, and holds the endowed professorship of Mitchell Professor in AI for Human Sensing & Understanding. He leads the Human-Centered AI and Interactive Machines (Aiim) lab.
Miscellany
Personal interests and hobbies are not provided in detail.