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IATSL develops assistive technology that is adaptive, flexible, and intelligent, enabling users to participate fully in their daily lives. Learn more about our research

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Zain Hasan

No picture of Zain availableMaster's Candidate

IBBME, University of Toronto

zain.hasan@mail.utoronto.ca

Curriculum Vitae - Zain Hasan

 


Biography

Zain received his B.A.Sc in the Engineering Science program at the University of Toronto. His research interests include computer vision, machine learning, surgical robotics, wearable assistive technology and functional electrical stimulation.

Zain has previously worked on interdisciplinary projects involving developing improved non-invasive surgical robotic prototypes, wearables for use in diagnostic medical devices, computer modelling to improve neural stimulation technology and developing smart microgrid technology for use in the clean energy industry.

Zain started his Masters at IATSL in the Fall of 2015 and will be working on developing a computer vision system that analyses walking patterns, path trajectory and wandering in older adults and predicts the probability of a fall incident occurring. This project addresses the need of a cost efficient fall predictive/detection system usable by older adults with minimal effort required from both the older adults and their caregivers (zero-effort technology). At the heart of this project is the development of an artificially intelligent sensing system that encourages and facilitates independence and autonomy in older adults.