Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.Read moreRead less
Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This p ....Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This project should give neuroscientists computational tools to comprehensively map the network architecture of the human brain.Read moreRead less
In-vivo detection of airway injury and disease using phase contrast X-ray velocimetry. Currently diagnosis of lung disease, a major cause of death in humans, is based on clinical symptoms that do not usually manifest until the disease is well advanced. This project will develop a novel imaging technique, X-ray velocimetry, to detect changes in tissue before symptoms arise, potentially leading to strategies for managing lung diseases.
Development of Novel Two-dimensional Techniques for Magnetic Resonance In-vivo Spectroscopy. Body chemistry alters with functionality, pain, ageing and disease. These changes can be recorded by magnetic resonance (MR) spectroscopy (MRS) in vivo in a whole body MR scanner. When changes in chemistry can be recorded rapidly, and the individual species assigned, it will be possible to make a definitive diagnosis and in some cases allow the tailoring of treatment on an individual basis. This is curre ....Development of Novel Two-dimensional Techniques for Magnetic Resonance In-vivo Spectroscopy. Body chemistry alters with functionality, pain, ageing and disease. These changes can be recorded by magnetic resonance (MR) spectroscopy (MRS) in vivo in a whole body MR scanner. When changes in chemistry can be recorded rapidly, and the individual species assigned, it will be possible to make a definitive diagnosis and in some cases allow the tailoring of treatment on an individual basis. This is currently hampered by our inability to separate the composite resonances in a one dimensional MR spectrum. Research will allow two dimensional MRS to be implemented and provide detailed chemical information on human organs in vivo. Read moreRead less
Neuromorphic Sensing and Diagnostics with Carbon: Towards a Biomimetic Nose. Neuromorphic electronics emulates cognitive processes of the brain and like the brain, is capable of extracting features and recognising patterns within data with extremely low energy requirements. Carbon materials are naturally adapted to neuromorphic electronics and uniquely form a compatible interface for sensing molecules in liquid and gaseous media. This project aims to develop a carbon-based neuromorphic electroni ....Neuromorphic Sensing and Diagnostics with Carbon: Towards a Biomimetic Nose. Neuromorphic electronics emulates cognitive processes of the brain and like the brain, is capable of extracting features and recognising patterns within data with extremely low energy requirements. Carbon materials are naturally adapted to neuromorphic electronics and uniquely form a compatible interface for sensing molecules in liquid and gaseous media. This project aims to develop a carbon-based neuromorphic electronic sensing device and couple it with carbon based neuromorphic pattern recognition technology to build an ‘artificial nose’ for improved health and environmental monitoring. Intended outcomes will include a technology for low-cost and rapid diagnostic services.
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Bayesian estimation of flexible spatial models with applications in medical imaging and econometric modeling. This project aims to develop statistical methodology for estimating flexible highly parameterised Bayesian spatial models. The flexible models examined will include regression, choice and time series models for data that is spatially registered. Spatial smoothing of parameters in the models will involve application of hierarchical spatial prior distributions. The resulting methodology wi ....Bayesian estimation of flexible spatial models with applications in medical imaging and econometric modeling. This project aims to develop statistical methodology for estimating flexible highly parameterised Bayesian spatial models. The flexible models examined will include regression, choice and time series models for data that is spatially registered. Spatial smoothing of parameters in the models will involve application of hierarchical spatial prior distributions. The resulting methodology will be applied to the analysis of medical imaging data and to the estimation of spatial econometric models of residential real estate prices. The expected outcomes include developments in the frontier framework of Bayesian computational estimation methodology, improved methods for medical image processing and estimation of high resolution spatial models of residential real estate prices in Australian metropolitan centres.Read moreRead less
ANATOMICAL ORGAN MODELLING AND SURGICAL PROCEDURE SIMULATION FOR THORACOSCOPIC SURGERY. We aim to establish novel virtual reality-based surgical procedure simulation methodologies, geometric and physical models of human organs, and surgical tools and interaction modules for thoracoscopic surgery or for minimally invasive surgical procedures. This is needed to optimize surgical strategy and to anticipate possible problems that may arise during the procedure, and to train medical staff as the tren ....ANATOMICAL ORGAN MODELLING AND SURGICAL PROCEDURE SIMULATION FOR THORACOSCOPIC SURGERY. We aim to establish novel virtual reality-based surgical procedure simulation methodologies, geometric and physical models of human organs, and surgical tools and interaction modules for thoracoscopic surgery or for minimally invasive surgical procedures. This is needed to optimize surgical strategy and to anticipate possible problems that may arise during the procedure, and to train medical staff as the trend towards robotic-assisted minimally invasive surgery continues. What makes this project novel is the anatomical organ modeling approach based on virtual springs and dampers traversing between the top and bottom surfaces of the organs and tissues, contrary to previous approaches.Read moreRead less
An optimisation-based framework for non-classical Chebyshev approximation. This project aims to solve open mathematical problems in multivariate and piecewise polynomial approximations, two directions that correspond to fundamental obstacles to extending classical approximation results. Through an innovative combination of optimisation and algebraic technique, the project intends to develop foundations for new results in approximation theory, and new insights into other areas of mathematics, mos ....An optimisation-based framework for non-classical Chebyshev approximation. This project aims to solve open mathematical problems in multivariate and piecewise polynomial approximations, two directions that correspond to fundamental obstacles to extending classical approximation results. Through an innovative combination of optimisation and algebraic technique, the project intends to develop foundations for new results in approximation theory, and new insights into other areas of mathematics, most notably optimisation. The techniques and methods developed should also have significant benefits in the many disciplines where approximation problems appear, such as engineering, physics or data mining. The research outputs resulting from this project will be used in a wide range of fields to help implement programs, policies and improve decision making.Read moreRead less
Human Capital, Cognitive Skills and Labour Market Outcomes. As Australia competes in the ‘educational race,’ this project will generate new knowledge on the relationship between education, skill attainment and economic outcomes in Australia. The research will provide new empirical evidence on cognitive and non-cognitive skills formation over the life-cycle, and the relationship between these skills and labour market outcomes in Australia within the broader international context. The research wil ....Human Capital, Cognitive Skills and Labour Market Outcomes. As Australia competes in the ‘educational race,’ this project will generate new knowledge on the relationship between education, skill attainment and economic outcomes in Australia. The research will provide new empirical evidence on cognitive and non-cognitive skills formation over the life-cycle, and the relationship between these skills and labour market outcomes in Australia within the broader international context. The research will advance methodological techniques for the economic analysis of cognitive skills and their economic impacts. The research will inform public policy formulation relating to educational attainment, skill development, and strategies to encourage longer workforce engagement over the life-cycle.Read moreRead less
The effect of acquiring a disability in adulthood. This project aims to analyse the effect the acquisition of a disability in adulthood has on subsequent socio-economic circumstances (employment, housing, education, income, social capital, wealth) and wellbeing. Researchers from epidemiology, econometrics and statistics will use longitudinal data to model the patterns of disability and subsequent socio-economic and health circumstances over time. The methods aim to make causal statements and pro ....The effect of acquiring a disability in adulthood. This project aims to analyse the effect the acquisition of a disability in adulthood has on subsequent socio-economic circumstances (employment, housing, education, income, social capital, wealth) and wellbeing. Researchers from epidemiology, econometrics and statistics will use longitudinal data to model the patterns of disability and subsequent socio-economic and health circumstances over time. The methods aim to make causal statements and provide a template for research and evaluation in this field. Outcomes are expected to set priorities for action to improve socio-economic conditions, productivity and health for people with disabilities.Read moreRead less