Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characteris ....Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characterising whole joint systems. This project will provide significant knowledge gain on the biomechanical regulation of human joints across form, function, dynamics and loading which may help across many facets of society to guide physical activity choices.Read moreRead less
Combining biomechanics and movement ecology of kangaroos and relatives. Kangaroos and their relatives are unique in their body form, hopping gait and by the fact that increased speed does not come at an increased energetic cost. This project aims to build 3D musculoskeletal models to understand how muscles and tendons interact, enabling greater distances to be travelled using less energy. Further, it will use animal tracking devices and machine-learning tools to quantify movements in the wild. T ....Combining biomechanics and movement ecology of kangaroos and relatives. Kangaroos and their relatives are unique in their body form, hopping gait and by the fact that increased speed does not come at an increased energetic cost. This project aims to build 3D musculoskeletal models to understand how muscles and tendons interact, enabling greater distances to be travelled using less energy. Further, it will use animal tracking devices and machine-learning tools to quantify movements in the wild. This framework will provide novel insights into how energetics, morphology, and habitat have shaped the evolution of this unique group. This may open doors to a range of future ecological, physiological, and conservation studies and provide biological inspiration for energetically efficient robotic and assistive devices.Read moreRead less