Milos R. Popovic

Milos R. Popovic is the Director of The KITE Research Institute at the Toronto Rehabilitation Institute - University Health Network and the Institute of Biomedical Engineering at the University of Toronto.  Dr. Popovic is a Fellow of the Canadian Academy of Engineering, a Fellow of the American Institute of Medical and Biological Engineering, and a Fellow of the Institute of Electrical and Electronic Engineering.  He co-founded MyndTec, the Canadian Spinal Cord Injury Rehabilitation Association, the Centre for Advancing Neurotechnological Innovation to Application (CRANIA) at the University Health Network, and the CRANIA Neuromodulation Institute at the University of Toronto.  He is also the founder of the FabrIc-Based REsearch (FIBRE) Platform and the Rehabilitation Engineering Laboratory, both located at the KITE Research Institute, Toronto Rehabilitation Institute - University Health Network.  Dr. Popovic held the Toronto Rehab Chair in Spinal Cord Injury Research appointment from 2007 until 2017.

Dr. Popovic received his Ph.D. degree in mechanical engineering from the University of Toronto, Canada in 1996, and the Dipl. Electrical Engineer degree from the University of Belgrade, Serbia in 1990.  His fields of expertise are functional electrical stimulation, neuroprostheses, neuro-rehabilitation, neuromodulation, brain-machine interfaces, physiological control systems, assistive technology, modelling and control of linear and non-linear dynamic systems, robotics, and signal processing.

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  • Director, The KITE Research Institute, University Health Network
  • Director, Institute of Biomedical Engineering, University of Toronto
  • Senior Scientist, The KITE Research Institute
  • Professor, Institute of Biomedical Engineering
  • Functional Electrical Stimulation
  • Neuroprostheses
  • Neuro-Rehabilitation
  • Neuromodulation
  • Brain Machine Interfaces
  • Physiological Control Systems
  • Assistive Technology
  • Modeling and Control of Linear and Non-Linear Dynamic Systems
  • Robotics
  • Signal Processing