News

John McPhee, Professor of Systems Design Engineering at the University of Waterloo and the Canada Research Chair in Biomechatronic System Dynamics, presented a seminar on predictive simulation and model-based control of biomechatronic systems to the Biomechanical Engineering Lab (BIOMECH) at Universitat Politècnica de Catalunya.

PhD candidate AliAsghar Mohammadi Nasrabadi presented his work on "Enhancing Total Hip Arthroplasty Outcomes: Deep Learning for Spinopelvic Measures and Understanding the Influence of Spine Stiffness, Spinal Fusion, and Spinopelvic Parameters on Lower Limb Motion" at the 23rd Annual Scientific Conference of the Canadian Spine Society (CSS).

MASc student Sydney Bell presented her thesis on "Muscle Torque Generator Model For A Two Degree-of-Freedom Shoulder Joint" - Congratulations! 

MASc student Adam Caldwell presented his thesis on "Development and Comparison of 3D Dynamic Models to Predict Golf Clubhead-Ball Impacts" - Congratulations! 

PhD candidate Ali Nasr successfully defended his PhD thesis "Design, Dynamics, and Control of Active-passive Upper-limb Exoskeleton Robots" - Congratulations! 

PhD student Kevin Zhu presented MoRG's research in sports to Sport Scientist Canada’s Biomechanics and Performance Analysis group during the High Performance Advisory Council meeting at the SPort INnovation (SPIN) Summit 2022, including research in basketball,

Research on computer vision applications in fencing by Kevin Zhu, John McPhee, and Alexander Wong was featured on the Canadian Sports Institute Ontario website.
    

KAPAO, a human pose estimator developed by William McNally and John McPhee, as well as co-authors Kanav Vats and Alexander Wong, was accepted for publication at the 2022 European Conference on Computer Vision. Congratulations! 
  

Research on "Optimization of a Multibody Dynamic Model of the Fouetté Turn" by Mackenzie Collins, Keaton Inkol, and John McPhee was featured at the 44th annual International Conference of the IEEE Engineering in Medicine and Biology Society.

PhD candidate AliAsghar Mohammadi Nasrabadi presented his work on "Automatic Extraction of Spinopelvic Parameters Using Deep Learning to Detect Landmarks as Objects" at the 2022 Medical Imaging with Deep Learning conference.