Subject-specific computational models for accurate evaluation of muscle function in human locomotion. The purpose of this project is to advance current understanding of muscle function during human locomotion. The most significant outcome will be the development of novel computational tools that can play a pivotal role in the healthcare industry through the prevention, diagnosis and treatment of movement disorders.
Non-invasive assessment of hip fracture risk in elderly people. No falls, no fractures - this will be the main benefit of the proposed research. The most significant outcome will be new computational tools to improve current understanding of the biomechanics of falls and bone fragility in elderly people, which, in turn, will help to reduce healthcare costs associated with the treatment and management of hip fractures. Realistic models and computer simulations of human movement can play a pivota ....Non-invasive assessment of hip fracture risk in elderly people. No falls, no fractures - this will be the main benefit of the proposed research. The most significant outcome will be new computational tools to improve current understanding of the biomechanics of falls and bone fragility in elderly people, which, in turn, will help to reduce healthcare costs associated with the treatment and management of hip fractures. Realistic models and computer simulations of human movement can play a pivotal role in three of Australia's largest industries: healthcare, through the diagnosis and treatment of movement disorders; sports, through the development of personalized training programs for elite athletes; and entertainment, through the development of video/digital games and animated films.Read moreRead less
A Control Systems Approach for Understanding Human Locomotion. This proposal addresses fundamental, difficult questions in the context of human movement: How do muscles move our limbs during walking? How do the nervous system and muscles work together to control movement? Realistic computer simulations of human movement can help answer these questions and, in so doing, can play a pivotal role in three of Australia's largest industries: healthcare, through clinical gait analysis and gait rehabili ....A Control Systems Approach for Understanding Human Locomotion. This proposal addresses fundamental, difficult questions in the context of human movement: How do muscles move our limbs during walking? How do the nervous system and muscles work together to control movement? Realistic computer simulations of human movement can help answer these questions and, in so doing, can play a pivotal role in three of Australia's largest industries: healthcare, through clinical gait analysis and gait rehabilitation (diagnosis and treatment of movement disorders); sports, through the development of personalized training programs for elite athletes; and entertainment, through the development of video/digital games and animated films (creation of virtual life-like actors).Read moreRead less
Patient-specific computational tools for evaluating functional performance of total knee replacements in vivo. Knee replacement surgery is the established treatment for end-stage osteoarthritis. This proposal addresses one of the most fundamental questions related to knee replacement surgery: Why do total knee replacements fail? High-fidelity, patient-specific computer simulations of walking can help to answer this question and, in so doing, can improve the functional performance and longevity o ....Patient-specific computational tools for evaluating functional performance of total knee replacements in vivo. Knee replacement surgery is the established treatment for end-stage osteoarthritis. This proposal addresses one of the most fundamental questions related to knee replacement surgery: Why do total knee replacements fail? High-fidelity, patient-specific computer simulations of walking can help to answer this question and, in so doing, can improve the functional performance and longevity of current knee implant designs. Realistic computer simulations of human movement also can play a pivotal role in healthcare through patient rehabilitation; in sports, through the development of personalized training programs for elite athletes; and in entertainment, through the creation of video games and animated films.Read moreRead less
Integration of high-speed dynamic x-ray imaging and patient-specific computational modelling for non-invasive assessment of knee-joint function. The project will establish a new capability for the prevention and treatment of osteoarthritis (joint disease) that will place Australia at the forefront of biomedical engineering research internationally. The ability to integrate high-speed, mobile, x-ray imaging of joint motion with patient-specific computer modelling is unique globally.
Nonlinear Dynamics of Pulse Coupled Oscillators. A mathematical model of the heart pacemaker system will be created, based on simple interacting units. These units have been shown to be good models of physiological information e.g. the discrimination of different influences on heart rate. We will firstly look at the interaction of the units in simple combinations and then tune the model to mimic the behaviour of the cardiac pacemaker.
Potential benefits may arise from elucidating the mechanis ....Nonlinear Dynamics of Pulse Coupled Oscillators. A mathematical model of the heart pacemaker system will be created, based on simple interacting units. These units have been shown to be good models of physiological information e.g. the discrimination of different influences on heart rate. We will firstly look at the interaction of the units in simple combinations and then tune the model to mimic the behaviour of the cardiac pacemaker.
Potential benefits may arise from elucidating the mechanisms underlying arrhythmias which contribute to ?sudden cardiac death? in young men, and suggesting strategies for artificial pacemakers to effectively arrest abnormal rhythms before they convert to potentially fatal fibrillation.Read moreRead less
System Identification of Complex System Models. This project lies within an ARC Research Priority Area. Namely, "Frontier Technologies". It involves the development of new technologies and fundamental theory that take data records from physical or abstract systems and generate mathematical models for use in prediction, control and diagnosis of the underlying system. In light of this, the project also lies within the ARC Research Priority Area of "Smart Information Use",
Structure inference and adaptive intervention of evolving complex networks. This project will develop a new theory and methodology for understandinng the structure inference and adaptive intervention of evolving complex networks with applications to specific systems. It will place Australia in the leading position of this research.
Multi-Ontologies meet UML: Improving the Software Engineering of Multi-Agent Systems. Multi-agent systems are a new style of software well suited for open, dynamic, distributed, global, heterogeneous environments such as the Internet. Systematic methods are needed to allow multi-agent systems to reason effectively with high level knowledge. This research draws on software engineering practice to develop a theory and methodology for multi-ontologies for expressing knowledge within multi-agent sys ....Multi-Ontologies meet UML: Improving the Software Engineering of Multi-Agent Systems. Multi-agent systems are a new style of software well suited for open, dynamic, distributed, global, heterogeneous environments such as the Internet. Systematic methods are needed to allow multi-agent systems to reason effectively with high level knowledge. This research draws on software engineering practice to develop a theory and methodology for multi-ontologies for expressing knowledge within multi-agent systems that facilitate adaptation and change.
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Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are a ....Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.Read moreRead less