Matthew J. Hambly

Menzies School of Health Research, Griffith University

Papers

Total Citations

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About

Matthew J. Hambly is a researcher at the forefront of neuromusculoskeletal modeling and wearable robotic control, with a focus on restoring human movement after neuro-muscular injuries. His work bridges biomechanics, neural control, and engineering to develop open-source tools that enable real-time, model-based control of assistive devices. Hambly’s most-cited study (2023, 8 citations) introduced an EMG-informed neuromusculoskeletal model that estimates muscle forces and joint moments during functional electrical stimulation, capturing volitional contributions to movement—a critical step for personalized rehabilitation. His more recent work (2025, 4 citations) presents CEINMS-RT, an open-source framework for continuous neuro-mechanical control of wearable robots, integrating neural and musculoskeletal dynamics to enhance human-robot interaction. These contributions are notable for their translational potential: by calibrating models with motion and EMG data from muscles like biceps and triceps brachii, Hambly enables more intuitive and adaptive exoskeletons and prosthetics. His research is shaping the next generation of neuro-rehabilitation technologies, offering accessible, data-driven solutions for restoring mobility. With a growing citation impact and a commitment to open science, Hambly is a rising voice in the field of movement neuro-mechanics.