Scholar
Babak Taati
Google Scholar ID: 7-X6qUUAAAAJ
KITE Research Institute |Toronto Rehab - UHN & Department of Computer Science, University of Toronto
Citations & Impact
Citations
3,409
H-index
36
i10-index
73
Publications
20
Co-authors
134
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Keynote speaker at CV4Smalls workshop, WACV 2025 (February 2025)
- Associate Editor for IEEE Journal of Biomedical and Health Informatics (JBHI) since September 2022
- Research featured in UofTMed Magazine (December 2021) on facial cues and pain assessment
- Invited speaker at institutions and conferences including IT University of Copenhagen, Queen’s University, National Taiwan University, and AI and Digital Health Symposium in Montreal
- Journal Publication Chair for the International Conference on Aging, Innovation and Rehabilitation (ICAIR) in 2023
Research Experience
- Currently leading the Aging team at KITE
- Led development of the HAT app, approved by Health Canada, for screening Ehlers-Danlos Syndromes (EDS)
- Organized and participated in international workshops including Ambient Intelligence for Healthcare at MICCAI 2023, Special Session on Healthcare Applications at FG2021, and AI in Dementia Care workshop
- Conducts long-term research on health monitoring using computer vision and deep learning, including gait analysis and pain recognition in older adults
- Released the Toronto Older Adults Gait Archive (TOAGA), featuring video and 3D inertial motion capture data
Background
- Senior Scientist at KITE, the research arm of Toronto Rehabilitation Institute – University Health Network (UHN)
- Barbara G. Stymiest Chair in Rehabilitation Technology Research at UHN and the University of Toronto (UofT)
- Associate Professor and Affiliated Scientist in the Department of Computer Science, Institute of Biomedical Engineering (BME), and Rehabilitation Sciences Institute (RSI) at UofT
- Faculty Affiliate at the Vector Institute
- Lead of the Aging team at KITE (co-led with Dr. Tilak Dutta and Dr. Andrea Iaboni)
- Affiliated with the Intelligent Assistive Technology and Systems Lab (IATSL) and the Computational Vision group at UofT
- Research focuses on computer vision and machine/deep learning applications in healthcare, rehabilitation, aging, and pain assessment
