Enabling low greenhouse gas emissions from road vehicles through the proper use of alternative fuels. A major increase in alternative transport fuel use appears necessary in our response to the challenges of climate change and energy security. This proposal will advance our fundamental understanding of key aspects of the combustion of particular alternative fuels, thus enabling proper engine design and so maximising greenhouse and energy security benefits. Further, the Australian automotive indu ....Enabling low greenhouse gas emissions from road vehicles through the proper use of alternative fuels. A major increase in alternative transport fuel use appears necessary in our response to the challenges of climate change and energy security. This proposal will advance our fundamental understanding of key aspects of the combustion of particular alternative fuels, thus enabling proper engine design and so maximising greenhouse and energy security benefits. Further, the Australian automotive industry is a major employer and exporter, and needs to develop and/or maintain international leadership in low emission technologies to ensure its long term viability. This proposal builds a consortium of local organisations with common interests, thus helping local industry respond to several, significant challenges that they presently face.Read moreRead less
Thermal transport by design for fast and efficient solar thermochemical fuel production. This project aims to demonstrate the utility of the thermal transport by design approach to develop functionally graded reactive materials that allow for fast and efficient solar thermo-chemical fuel production. Prediction capabilities will be developed to optimise multi-scale radiative and gas transport coupled with non-stoichiometric redox reactions. Synthesis gas production will be demonstrated using the ....Thermal transport by design for fast and efficient solar thermochemical fuel production. This project aims to demonstrate the utility of the thermal transport by design approach to develop functionally graded reactive materials that allow for fast and efficient solar thermo-chemical fuel production. Prediction capabilities will be developed to optimise multi-scale radiative and gas transport coupled with non-stoichiometric redox reactions. Synthesis gas production will be demonstrated using the new structures in a prototype solar thermochemical reactor under high-flux irradiation. This project aims to advance the fields of thermal sciences and high-temperature solar thermochemical processing and expand the engineering knowledge base to pave the way to sustainable transportation with the existing infrastructure.Read moreRead less
Computational design for engineering micro/nanotopography. Micro/nanotopography and associated characteristics has major influences in several emerging areas of environmental, biomedical and energy engineering. This project will develop a new computational framework for topographical design and fabrication. It will create new research opportunities and technological innovation for the future development.
Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and bi ....Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and biomedical research. The sensor network discipline also stand to benefit from the understanding of multi-object system and control framework. Read moreRead less
Improving productivity: theory and application to Australian hospitals. This project aims to improve existing methods for analysing productivity and efficiency of organisations. The new methods will be applied to Australian hospitals, to analyse their productivity and efficiency, identify the best-practices and their determinants and recommend improvements and necessary reforms. The high level of healthcare costs in Australia, about 5 percent of gross domestic product, as well as their rapid and ....Improving productivity: theory and application to Australian hospitals. This project aims to improve existing methods for analysing productivity and efficiency of organisations. The new methods will be applied to Australian hospitals, to analyse their productivity and efficiency, identify the best-practices and their determinants and recommend improvements and necessary reforms. The high level of healthcare costs in Australia, about 5 percent of gross domestic product, as well as their rapid and accelerating growth, imply that application of methods developed through this project may save billions of dollars and, more importantly, thousands of lives. An expected outcome of this project will be superior theoretical and practical methods for analysing productivity and efficiency of economic systems, to enhance understanding of the potential for improvements and of the necessary reforms.Read moreRead less
Pathways to agri-food supply chains that co-benefit people and nature. This project aims to improve biodiversity outcomes of agricultural food production and consumption, and expects to generate new knowledge about impacts of interventions and shocks on the environment, human health and livelihoods in agri-food systems. This will be achieved using an interdisciplinary approach that accounts for uncertainties in links between farmers, suppliers, consumers and supply-chain outcomes. The expected o ....Pathways to agri-food supply chains that co-benefit people and nature. This project aims to improve biodiversity outcomes of agricultural food production and consumption, and expects to generate new knowledge about impacts of interventions and shocks on the environment, human health and livelihoods in agri-food systems. This will be achieved using an interdisciplinary approach that accounts for uncertainties in links between farmers, suppliers, consumers and supply-chain outcomes. The expected outcome is a value of information framework for identifying nature-friendly policies and actions with co-benefits for human well-being. Benefits include sustainability pathways with win-win outcomes for people and nature, and improved ways of meeting international commitments such as Sustainable Development Goals.Read moreRead less
Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual interve ....Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual intervention and optimising both short- and long-term maintenance based on real-time sensor data. These new methods will be powerful tools for tackling the complexity of large-scale, time-critical maintenance projects, driving productivity in the resources industry and fostering collaboration between mathematicians and engineers.Read moreRead less
Making social cohesion ecocentric through Indigenous language and song . This project expects to develop Indigenous language and song in ways that reframe and Indigenise social cohesion, expanding it from a human-centric policy goal to include connections with everything in Country. Designing and implementing an unprecedented and sustained program of Noongar language and song revitalisation in the south of Western Australia across community, schools, and the performing arts, it should advance th ....Making social cohesion ecocentric through Indigenous language and song . This project expects to develop Indigenous language and song in ways that reframe and Indigenise social cohesion, expanding it from a human-centric policy goal to include connections with everything in Country. Designing and implementing an unprecedented and sustained program of Noongar language and song revitalisation in the south of Western Australia across community, schools, and the performing arts, it should advance the potential for Indigenous expressive culture to nourish reciprocal social and ecological relationships that are adaptable to environmental change. Emerging from a hotspot for biodiversity and global warming, it intends to explore how Indigenous creative responses can focus and spur action on pressing global challenges.
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Improved identification of patients 'at risk' of depression, and optimal targeting of rehabilitation post-stroke through novel brain imaging and biomarkers. Use of novel brain imaging and biomarkers for identification of stroke survivors at risk of depression and recurrent stroke will permit early access to preventative and effective treatments for depression and improve capacity to benefit from rehabilitation. Development of predictive models to guide selection of most optimal rehabilitation st ....Improved identification of patients 'at risk' of depression, and optimal targeting of rehabilitation post-stroke through novel brain imaging and biomarkers. Use of novel brain imaging and biomarkers for identification of stroke survivors at risk of depression and recurrent stroke will permit early access to preventative and effective treatments for depression and improve capacity to benefit from rehabilitation. Development of predictive models to guide selection of most optimal rehabilitation strategies based on viable brain will maximise the capacity for persons with stroke to reach their full potential for recovery and ensure rehabilitation is more targeted and cost efficient. Improved capacity to benefit from treatment will have ongoing benefits for activity participation and productive living in Australians who experience stroke.Read moreRead less
School retention and second chance schooling. This project is concerned with ensuring that students who experience systemic disadvantage are not excluded from the benefits of a formal education. It provides an account and critique of the growth of second chance schooling options catering to such students in both Australia and the UK.