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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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Andrew Garrett Kurbis

Photo of AndrewMasters Candidate

BME
University of Toronto

garrett.kurbis@utoronto.ca

 

 




Biography

Garrett is a MASc student in Biomedical Engineering starting in Fall 2023 under the cosupervision of Dr. Brokoslaw Laschowski and Dr. Alex Mihailidis. His thesis research focuses on sensor fusion and deep learning for environment-adaptive locomotion mode recognition for wearable robotics.

Garrett joined the IATSL lab in January 2022, starting as an Undergraduate Research Assistant. He notably worked on the development and mobile deployment of StairNet - a vision-based automated stair recognition system for high-level control of robotic prostheses, exoskeletons, and other assistive technologies for legged locomotion.

He received his Bachelor of Applied Science in Biomedical Engineering at the University of Waterloo in 2023. Garrett's research interests lie primarily in the application of AI in Biomedical Engineering, particularly in areas such as computer vision, deep learning, wearable robotics, medical imaging, and diagnostic technologies.

Garrett presented his poster at ICAIR 2023.