Today, the Government of Canada announced the renewal of Professor John McPhee's Canada Research Chair in Biomechatronic System Dynamics for 7 more years. Congratulations!
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John McPhee, Professor of Systems Design Engineering at the University of Waterloo and the Canada Research Chair in Biomechatronic System Dynamics, was featured among the top 2% of scientists worldwide in a comprehensive list recently published by Stanford University. Congratulations!
Postdoctoral fellow Dr. Mahdokht Ezati presents her latest research on predictive dynamic simulation and optimal control of child gait at the 45th Meeting of the American Society of Biomechanics (ASB2021).
John McPhee, Professor of Systems Design Engineering at the University of Waterloo and the Canada Research Chair in Biomechatronic System Dynamics, gives an invited talk at the Waterloo International Workshop on Neural Engineering and Rehabilitation on modelling the dynamics and control of exoskeletons and rehabilitation robots.
At the 2022 North American Congress on Biomechanics (NACOB), MASc candidate Sydney Bell presented her work on a muscle torque generator model for a two degree-of-freedom shoulder joint [see page 46].
PhD candidate Mahdokht Ezati successfully defended her PhD thesis "Predictive Dynamic Simulation of Child Gait Using Direct Collocation Optimal Control" - Congratulations!
Research led by PhD student Brok Laschowski was featured in the GTC keynote address by Jensen Huang, Founder and CEO of NVIDIA. Brok’s research focuses on deep learning for visual intelligence, drawing inspiration from the brain’s visual information processing system. These machine learning algorithms are used for autonomous robot perception, control, and decision-making.
Research led by PhD student Brok Laschowski was featured on BBC. Brok’s research focuses on deep learning for visual intelligence, drawing inspiration from visual information processing in the brain. These machine learning algorithms are used for autonomous robot perception, control, and decision-making.
MASc student Arash Hashemi received Best Paper Awards at the 2020 International Conference of Control, Dynamic Systems, and Robotics (CDSR20). Arash’s paper focused on “Trajectory Planning for a Human-Robot Interaction Rehabilitation System using Direct-Collocation Optimization”. Congratulations!
Photograph - Rowan Ferrabee (left) CTO of Trajekt Sports, and Joe John (right) Owner of Guycan Machine Works.