معرفی
Philippe Dixon is an Assistant Professor at the University of Montreal, affiliated with the School of Kinesiology and Physical Activity Sciences within the Faculty of Medicine. His research focuses on analyzing human movements, particularly walking, using motion capture systems and wearable devices to improve health and mobility for populations with musculoskeletal disorders. He actively applies machine learning techniques for physiological event detection and software development for data analysis.
Education: D.Phil. in Biomedical Engineering (University of Oxford, 2015), postdoctoral training at Harvard University (2017), and M.Sc. in Kinesiology (McGill University, 2008).
Research affiliations include the Provincial Adaptation-Rehabilitation Research Network (REPAR), the Marie Enfant Rehabilitation Center (CRME), and the Institute of Biomedical Engineering. He leads and collaborates on multiple grants, including projects on gait biomechanics, wearable sensors for health monitoring, and pediatric rehabilitation. Notable grants include funding from NSERC, FRQS, and the Canadian Excellence Research Fund (Apogée).
He has supervised multiple students in master’s and doctoral programs, focusing on topics like gait analysis, machine learning applications, and musculoskeletal disorders. His work bridges biomechanical engineering and clinical rehabilitation, aiming to translate technological innovations into practical solutions for mobility challenges.
