Scott Brandon

Headshot of Scott Brandon
Associate Professor
School of Engineering
Email: 
scott.brandon@uoguelph.ca
Phone number: 
(519) 824-4120 ext. 52875
Office: 
THRN 2415
Website links: 
Google Scholar
Seeking academic or industry partnerships in the area(s) of: 
Rehabilitation device development, Human motion tracking, Orthopedic surgical optimization
Available positions for grads/undergrads/postdoctoral fellows: 
Enquire by email

Find Related People by Keyword

Artificial Intelligence, Biomechanics, Biomedical engineering, Human-Device Interaction, Knee Mechanics

Education and Employment Background

Dr. Scott Brandon received his PhD from Queen’s University in 2015. In 2015, he held a position as a Mitacs Postdoctoral Fellow with B-Temia Inc., at the Institute of Biomedical Engineering at the University of New Brunswick. He then worked as a Postdoctoral Fellow at the University of Wisconsin-Madison within the Department of Mechanical Engineering. Dr. Scott Brandon joined the School of Engineering at the University of Guelph in 2017, where he is an Associate Professor.

Research Themes

Dr. Scott Brandon’s research is focused on computational simulation and experimental evaluation of knee mechanics and stability. Dr. Scott Brandon designs and evaluates assistive devices, such as braces and exoskeletons, for rehabilitation and performance. His work has applications for cerebral palsy and osteoarthritis. Key areas of focus include:

  1. Measuring and predicting how external assistive devices interact with soft tissues of human limbs. When external devices apply forces to the body, there can be deformation of underlying skin, muscle, and fat, causing human joint axes to misalign. Such misalignment can impact the efficiency of force transmission for movement and can also cause uncomfortable shear loading of skin and other tissues. Through his research, Dr. Scott Brandon seeks to develop simple, low-cost devices that measure tissue stiffness across an individual’s limb and create computation models to predict how device design can be optimized for individuals.
  2. Predicting how human neuromuscular system responds to external devices. To measure the forces generated by human muscles, researchers rely on computational models. However, these models assume that muscular efforts are coordinated only to maximize endurance, and do not account for altered coordination seen in people with disabilities or people suing external devices. Dr. Scott Brandon seeks to explore novel simulation approaches to estimate muscle forces and account for the stabilizing effect of external devices.

Highlights

  • Natural Sciences of Engineering Research Council of Canada (NSERC) Discovery grant, 2018–present
  • Communications Officer, Canadian Society for Biomechanics, 2019–present
  • Guest Academic Editor, PLOS One, 2018
  • Centre for Advancing Responsible & Ethical Artificial Intelligence, affiliated faculty member