Time consistency, risk-mitigation and partially observable systems. This project aims to find optimal decision rules that mitigate risk in a time consistent manner for partially observable systems. Many problems in conservation management and engineering systems are dependent on random environments and entail risk of failure. The challenge of consistently minimising such a risk while achieving satisfactory and sustainable resource consumption is considerable. This project aims to develop analyti ....Time consistency, risk-mitigation and partially observable systems. This project aims to find optimal decision rules that mitigate risk in a time consistent manner for partially observable systems. Many problems in conservation management and engineering systems are dependent on random environments and entail risk of failure. The challenge of consistently minimising such a risk while achieving satisfactory and sustainable resource consumption is considerable. This project aims to develop analytical and numerical methods for optimal control in such scenarios. These methods will have application to fishery management, communication networks, power systems and social resource allocation scenarios.Read moreRead less
Bereavement of suicide and sudden death. Losing someone to suicide can have devastating affects on the survivors left behind. The aims of the present study include the identification of the processes and impacts of bereavement on survivors in various age groups. It also aims to identify critical points during the bereavement and factors which exacerbate and moderate negative impacts. This has been previously neglected in suicide research in Australia and its findings will add a multi-dimensional ....Bereavement of suicide and sudden death. Losing someone to suicide can have devastating affects on the survivors left behind. The aims of the present study include the identification of the processes and impacts of bereavement on survivors in various age groups. It also aims to identify critical points during the bereavement and factors which exacerbate and moderate negative impacts. This has been previously neglected in suicide research in Australia and its findings will add a multi-dimensional aspect to postvention not currently understood. It is expected that findings will help develop guidelines to ensure more effective detection and intervention for survivors, as well as enhancing social support and personal resilience.Read moreRead less
Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water ....Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water and soil should lead to deeper understanding of the dynamics, variation and transfer of genetic material within these resources’ microbial communities, strategies to manage microbial diversity, and improved productivity and long-term sustainability for these resources.Read moreRead less
The role of short tandem repeat DNA variation in the evolution of human psychological diversity. The proposed work addresses fundamental questions about human nature. It ties together the evolutionary processes that have shaped us as a species with the way our genes influence: our personalities, the way we think and how we behave. It introduces a novel approach to addressing questions about the role of genetics in human variation that will contribute substantially to the way we understand, perce ....The role of short tandem repeat DNA variation in the evolution of human psychological diversity. The proposed work addresses fundamental questions about human nature. It ties together the evolutionary processes that have shaped us as a species with the way our genes influence: our personalities, the way we think and how we behave. It introduces a novel approach to addressing questions about the role of genetics in human variation that will contribute substantially to the way we understand, perceive and manage important aspects of human diversity.Read moreRead less
Work life after a diagnosis of breast, prostate and colorectal cancer: Major disruption or work as usual. Each year, over 40,000 working-age individuals (as well as their families and workplaces) are affected by a diagnosis of cancer. This novel and important study will, for the first time in Australia, identify the extent and effects of loss of skilled workers from the workforce because of a diagnosis of breast, prostate or colorectal cancer and will lead to the development of new interventions ....Work life after a diagnosis of breast, prostate and colorectal cancer: Major disruption or work as usual. Each year, over 40,000 working-age individuals (as well as their families and workplaces) are affected by a diagnosis of cancer. This novel and important study will, for the first time in Australia, identify the extent and effects of loss of skilled workers from the workforce because of a diagnosis of breast, prostate or colorectal cancer and will lead to the development of new interventions that help people to recover from cancer. This project is critical to help advance health and labour policies in Australia which currently faces an ageing population, global economic unrest and rising unemployment.Read moreRead less
Social perception in late adulthood. Social perception refers broadly to the ability to decode and react appropriately to the social signals sent out by other people, and is a critical predictor of social competency and wellbeing. The aim of this project is to gain a clearer picture of when and why older adults experience social perceptual difficulties, as well as any consequences of these difficulties. A key prediction is that those older adults who have most difficulty with social perception w ....Social perception in late adulthood. Social perception refers broadly to the ability to decode and react appropriately to the social signals sent out by other people, and is a critical predictor of social competency and wellbeing. The aim of this project is to gain a clearer picture of when and why older adults experience social perceptual difficulties, as well as any consequences of these difficulties. A key prediction is that those older adults who have most difficulty with social perception will also have lowest wellbeing. Identifying which older adults are most likely to experience social perceptual difficulties, as well as which aspects of social perception are relatively intact, are expected to help to guide interventions on how to maintain wellbeing in old age.Read moreRead less
Early-Stage Medical Diagnostics by Plasmon-Mediated Gas Sensing. This project will investigate the use plasmonic absorption of light in metal nanostructures to activate the selective oxidation/reduction of a gas molecule on a semiconductor nanoparticle. This concept will be used with the aim of developing a sensing technique capable of measuring ultra-low concentrations (ppb) of breath markers for lung cancer detection. It is expected that porous sensing films of semiconductor and metal nanopart ....Early-Stage Medical Diagnostics by Plasmon-Mediated Gas Sensing. This project will investigate the use plasmonic absorption of light in metal nanostructures to activate the selective oxidation/reduction of a gas molecule on a semiconductor nanoparticle. This concept will be used with the aim of developing a sensing technique capable of measuring ultra-low concentrations (ppb) of breath markers for lung cancer detection. It is expected that porous sensing films of semiconductor and metal nanoparticles with well-defined light absorption properties will be fabricated. Superior selectivity will be achieved by matching the wavelength of the absorbed light with the required activation energy for oxidation/reduction. Successful outcomes will enable multi-analyte fingerprint identification by on-chip devices with applications ranging from portable medical diagnostics to national security.Read moreRead less
Light scattering in complex mesoscale systems. The aim of the proposed project is to develop tested theoretic models of, and test applications of, the scattering of light in complex mesoscale systems. This will include: light scattering by biological cells, including optical cancer detection, remote sensing of cell populations, flow cytometry and optical tweezers; optically driven micromachines, and nano- and micro-structured materials. These applications are of considerable technological, socia ....Light scattering in complex mesoscale systems. The aim of the proposed project is to develop tested theoretic models of, and test applications of, the scattering of light in complex mesoscale systems. This will include: light scattering by biological cells, including optical cancer detection, remote sensing of cell populations, flow cytometry and optical tweezers; optically driven micromachines, and nano- and micro-structured materials. These applications are of considerable technological, social, and economic importance, and significant advances are possible. Methods developed during this project will allow accurate theoretical calculations to be performed where only inadequate approximations have previously been possible.Read moreRead less
New Bayesian methodology for understanding complex systems using hidden Markov models and expert opinion, environmental, robotics and genomics applications. This project aims to merge four areas of intense international interest in describing complex systems: hidden Markov models and mixtures, semi-parametric and nonparametric approaches, true combination of expert opinion with data, and new Bayesian computational methods based on perfect sampling and particle sampling. The project will signific ....New Bayesian methodology for understanding complex systems using hidden Markov models and expert opinion, environmental, robotics and genomics applications. This project aims to merge four areas of intense international interest in describing complex systems: hidden Markov models and mixtures, semi-parametric and nonparametric approaches, true combination of expert opinion with data, and new Bayesian computational methods based on perfect sampling and particle sampling. The project will significantly contribute to statistical methodology and its ability to inform about real-world problems. A strong focus on applications to genomics, robotics and environmental modelling will bring immediate research and monetary benefit for industry. Expected outcomes include enhanced cross-disciplinary and international linkages, publications, industry-funded projects and highly trained graduates.Read moreRead less
Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces an ....Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces and system dynamics. Both theoretical and algorithmic approaches will be applied to sustainable fishery management --- an important problem for Australia and an ideal context for POMDPs. The project will advance research in artificial intelligence, dynamical systems, and fishery operations, and benefit the national economy.Read moreRead less