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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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Sia Rezaei

Photo of SiaTechnical Analyst

Toronto Rehabilitation Institute

sia@siarez.com

+1 604 506 7525

 


Biography

Sia received his bachelors degree in systems engineering in 2010 from Simon Fraser University in Vancouver. He has taken on a diverse set of roles like embedded software development for an internet connected home robot, full-stack web development for a fashion social network, and data analytics for a online food ordering platform. He also started and ran his own loudspeaker manufacturing brand.

Since February 2017, he has delved back into his life long passion, AI. He has contributed as a committer to OpenMined (a privacy preserving distributed deep learning framework) He has also developed audio and vision models for facial gesture recognition and speaker audio separation (cocktail party effect) using deep learning.

His research interests are in learning algorithms that have the capacity to iteratively invoke/generate, reconcile, validate, and accumulate hypotheses about data. So they can create context dependent models of their environment using those hypotheses. At Toronto Rehabilitation Institute, under the supervision of Dr. Babak Taati, he works on leveraging computer vision and deep learning to help improve diagnosis and intervention procedures for the elderly and stroke patients.