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Field of Research : Biomechanical Engineering
Socio-Economic Objective : Expanding Knowledge in Technology
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  • Researchers (46)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP200101970

    Funder
    Australian Research Council
    Funding Amount
    $469,000.00
    Summary
    Integrin Activation by Fluid Flow Disturbance: Mechanobiology Approaches. Understanding how cells can sense and respond to mechanical environment such as dynamic blood flow represents a fundamental question in the emerging field of mechanobiology. This project develops new biomechanical engineering approaches to determine the critical interrelationships among fluid flow disturbance, platelet clotting and the mechano-sensitive signal transduction mechanisms of integrin receptor – the most importa .... Integrin Activation by Fluid Flow Disturbance: Mechanobiology Approaches. Understanding how cells can sense and respond to mechanical environment such as dynamic blood flow represents a fundamental question in the emerging field of mechanobiology. This project develops new biomechanical engineering approaches to determine the critical interrelationships among fluid flow disturbance, platelet clotting and the mechano-sensitive signal transduction mechanisms of integrin receptor – the most important mechano-sensor implicated in cell adhesion, migration, growth and survival. Specifically, it integrates nationally unique cutting-edge techniques including single-molecule force probe, microparticle image velocimetry, microfluidics and molecular dynamics simulation, super resolution and 3D volumetric imaging modalities.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210102911

    Funder
    Australian Research Council
    Funding Amount
    $334,055.00
    Summary
    Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expe .... Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expected outcomes are a novel human-machine interface methodology, a new multi-purpose wearable data glove, and function and application-specific machine learning methods for cutting-edge applications in assistive robotic devices such as a prosthetic hand, advanced manufacturing, construction and agriculture.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE220101249

    Funder
    Australian Research Council
    Funding Amount
    $468,582.00
    Summary
    Fusing wearables and advanced computational models for real world analysis. This project aims to solve a major technological problem: our inability to study human skeletal, muscular, and neural function in the real world. This project expects to, for the first time globally, integrate wearable sensors with neuromusculoskeletal computational models and artificial intelligence, and validate this technology. Expected project outcomes include an integrated system for future commercialisation and new .... Fusing wearables and advanced computational models for real world analysis. This project aims to solve a major technological problem: our inability to study human skeletal, muscular, and neural function in the real world. This project expects to, for the first time globally, integrate wearable sensors with neuromusculoskeletal computational models and artificial intelligence, and validate this technology. Expected project outcomes include an integrated system for future commercialisation and new understanding of how whole-body behavioural choices affect tissue mechanics during daily and sporting activities. Project outcomes should provide significant benefits, such as the ability to escape the laboratory to understand human performance for defence, sport, industrial, and health settings.
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    Funded Activity

    Linkage Projects - Grant ID: LP110100189

    Funder
    Australian Research Council
    Funding Amount
    $254,329.00
    Summary
    An automatic markerless three-dimensional (3D) motion analysis system for aquatic environments. Australia's sporting performance on the international stage forms an integral part of the psyche of Australians. This project applies latest 3D imaging and biomechanical techniques to quantify swimmers' movement patterns, thereby ensuring Australia's continued elite sporting success and consolidating its current lead in world class technologies.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100900

    Funder
    Australian Research Council
    Funding Amount
    $403,000.00
    Summary
    Using 3D printing technology to develop architecturally-controlled synthetic bone substitutes. With the ageing population, there is increasing demand for synthetic materials that can regenerate bone. However, purely synthetic bone-substitute biomaterials cannot regenerate large bone defects in weight-bearing conditions due to their fragility. This project aims to develop a customisable, biodegradable, biocompatible and mechanically strong and tough scaffold that overcomes this long-standing prob .... Using 3D printing technology to develop architecturally-controlled synthetic bone substitutes. With the ageing population, there is increasing demand for synthetic materials that can regenerate bone. However, purely synthetic bone-substitute biomaterials cannot regenerate large bone defects in weight-bearing conditions due to their fragility. This project aims to develop a customisable, biodegradable, biocompatible and mechanically strong and tough scaffold that overcomes this long-standing problem. The project aims to achieve this by applying an innovative combination of cutting-edge 3D printing technology, advanced computational modelling and design techniques to produce a next-generation bioceramic scaffold with optimised architecture. This approach aims also to enable the possibility of producing custom-made implants for individual requirements.
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    Funded Activity

    Discovery Projects - Grant ID: DP180101838

    Funder
    Australian Research Council
    Funding Amount
    $383,136.00
    Summary
    Quantitative micro-computed tomography for mechanobiological measurement. This project aims to investigate novel measurement approaches for complex cartilage and joint systems by utilising engineering and software design, imaging physics and musculoskeletal biology. Accurate measurement of these living biological systems in action expects to generate new knowledge and a fundamental understanding of their mechanobiological processes. This project will enhance understanding of this complex system .... Quantitative micro-computed tomography for mechanobiological measurement. This project aims to investigate novel measurement approaches for complex cartilage and joint systems by utilising engineering and software design, imaging physics and musculoskeletal biology. Accurate measurement of these living biological systems in action expects to generate new knowledge and a fundamental understanding of their mechanobiological processes. This project will enhance understanding of this complex system and facilitate our capacity to innovate functional solutions in biomedical engineering and biosciences.
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