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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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Masters Candidate

IBBME (University of Toronto)

(416) 597-3422 x 40346


Shabnam received her bachelor degree in Electrical engineering from Sharif University of Technology, where she specialized in biomedical signal processing. For her bachelors capstone project she developed an emotion recognition system based on the electroencephalograms of 20 subjects, with a potential application of using the system for autistic children.

Shabnam started her master of applied science at IATSL in the fall of 2016. Her master`s thesis focuses on the acceptability of driverless cars among older adults with the ultimate goal of exploring the possible methods to promote and simplify the use of such cars for the elderly. Her primary research interests lies in machine learning, brain computer interfaces, statistical signal processing and deploying those in the applicable assistive technologies.