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Ameneh Boroomand

Postdoctoral Fellow

My research focuses on design, implementation, and development of various computer vision, machine learning, signal/image processing and sensor fusion techniques for designing an integrated smart ambient technologies for aging applications.  A central theme to my research is the development of a smart ambient based activity detection and tracking system for falls detection/prediction in a cluttered environment with single/multiple occupants.

Mei Lin Chen

MASc graduate

I am a MASc candidate in Systems Design Engineering at the University of Waterloo, and completed a Bachelor of Health Science at McMaster University. My research focus is on using brain-computer interfaces for control and rehabilitation. Areas of application include: motor and music imagery, neuropathic pain management, and aging. Mei is passionate about translational research in applying engineering techniques in clinical medicine. In my free time, I am also a classical singer/performer.