This research develops a robotic system capable of reproducing real-world knee motions and ACL injury mechanisms in human cadaver knees. The platform enables realistic testing of injury-prevention technologies, improves understanding of ACL rupture biomechanics, and may help reduce injury risk, particularly among women who experience higher ACL injury rates.

This research develops a noninvasive method for continuously measuring blood pressure using arterial resonance. Inspired by the physics of vibrating guitar strings, the device gently stimulates arteries and measures their resonance frequencies with ultrasound. The resulting continuous blood pressure waveforms could improve diagnosis of cardiovascular disease without invasive catheterization procedures.

This research develops digital twin systems to personalise robotic exoskeleton movement. By integrating biomechanical modelling with real-time robotic control, it enables adaptive, user-specific walking patterns. The approach aims to improve rehabilitation outcomes by making assistive devices more natural, responsive, and aligned with individual movement needs.

This research examines disrupted brain–muscle communication following ACL reconstruction. While surgery restores mechanical stability, sensory deficits remain, causing neuromuscular impairments. By studying real-time neural control during varying muscle contractions, balance, and dual-task conditions, the project aims to improve rehabilitation strategies and reduce reinjury risk through enhanced neuro-muscular coordination.

Aneurysms cause hundreds of thousands of deaths each year, yet most never rupture. This research applies vascular mechanics, medical imaging, and multiscale simulations to model how arteries grow and weaken over time. By predicting which aneurysms will burst, it aims to guide safer, patient-specific treatment decisions and prevent fatal outcomes.

This research develops an objective, data-driven approach to return-to-sport decisions after pediatric knee surgery. Using motion capture and advanced data analysis, it identifies hidden movement patterns linked to re-injury risk. The goal is to improve clinical decision-making, reduce repeat injuries, and make injury prevention more accessible beyond specialist clinics.

This research targets muscle stiffness in children with cerebral palsy by breaking down excess collagen in the muscle’s extracellular matrix. Treating muscle tissue with collagenase reduced stiffness by 50% without weakening muscle strength. The findings offer a promising step toward therapies that improve mobility, reduce pain, and enhance quality of life.

This thesis develops a vibro-tactile rhythmic-haptic cueing system based on Afro-diasporic polyrhythms to support gait improvement in neurodegenerative conditions. Using foot-based sensors and calibrated vibrations, the system increased cadence by 2–3%. The work challenges historical pathologizing of Black music and reframes it as therapeutic, culturally grounded neurotechnology.