Ali Etemad
Scholar

Ali Etemad

Google Scholar ID: UvOC8MkAAAAJ
Queen's University
Artificial IntelligenceDeep LearningHuman-Centered AIWearable ComputingAffective Computing
Citations & Impact
All-time
Citations
4,731
 
H-index
35
 
i10-index
100
 
Publications
20
 
Co-authors
41
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • 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.