Professor John McPhee delivered the keynote address "Predictive Dynamic Simulation and Model-based Control of Biomechatronic Systems" at the 49th Congress of the Society of Biomechanics in Compiègne, France.
John McPhee, Professor of Systems Design Engineering at the University of Waterloo and the Canada Research Chair in Biomechatronic System Dynamics, joined Ramraajh Sharvendiran on CBC's Here and Now Toronto for a discussion on improving the performance of paralympic athletes in wheelchair basketball.
Professor John McPhee delivered the keynote address for the 2024 ISEA Lecture Series: "Optimizing Sports Performance and Equipment," hosted by the International Sports Engineering Association.
Professor John McPhee (left) delivered the keynote address at the 2024 Toronto Robotics Conference entitled "Dynamics and Model-based Control of Biomechatronic Systems."
At the 2024 ISEA Engineering of Sport 14 Conference, MASc candidate Cedric Attias (left) presented his work on "Biomechanical Analysis of Disc Golf Throws to Improve Performance."
PDF researcher AliAsghar MohammadiNasrabadi presented his research at the European Society of Biomechanics Conference (ESBiomech 2024) in Edinburgh.
Research on "muscle activity following postural perturbations wearing a lower limb exoskeleton" by Claudia Town, Keaton Inkol, John McPhee, and Andrew Laing was featured at the 2024 Ontario Biomechanics Conference.
A baseball pitching robot that spun out of the Motion Research Group (now Trajekt Sports), as well as a hockey slapshot robot (THoR), were recently featured on the Los Angeles Times.
John McPhee, Professor of Systems Design Engineering at the University of Waterloo and the Canada Research Chair in Biomechatronic System Dynamics, joined Mary Ito on the CRAM podcast to discuss his research on improving electric and autonomous vehicles, developing exoskeletons for stroke patients, and increasing the performance of Olympic and pro athletes.
PhD candidate AliAsghar MohammadiNasrabadi successfully defended his PhD thesis "Optimizing Total Hip Arthroplasty using Predictive Dynamic Simulation of Human Sit-to-Stand Movement and Deep Learning for Flexible Spinopelvic Model Identification" - Congratulations!