Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven p ....Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven patient group discovery, which could more precisely identify the patient cohorts most likely to benefit from a specific policy; and a model to predict the efficacy of policy options, which could increase the sustainability of the national health system by enabling smarter, more efficient policy decision-making.Read moreRead less
The Dynamics of Low Income, Welfare reliance, and Changes in the Family Stucture of Parents with Dependent children. We build a new seven-year longitudinal database, from FaCS administrative records and supplementary surveys, for low income parents with dependent children to analyse the dynamics of, and interrationships among, changes in family structure, income and welfare reliance. We identify and analyse exit and entry routes from low income, short and long run welfare receipt and movement fr ....The Dynamics of Low Income, Welfare reliance, and Changes in the Family Stucture of Parents with Dependent children. We build a new seven-year longitudinal database, from FaCS administrative records and supplementary surveys, for low income parents with dependent children to analyse the dynamics of, and interrationships among, changes in family structure, income and welfare reliance. We identify and analyse exit and entry routes from low income, short and long run welfare receipt and movement from one program to another, and highlight locational/regional variations in these movements. The project will help policy makers evaluate the impacts of existing programs and will change the nature and significance of Australian research and policy development in welfare dependency and support.Read moreRead less
The evolution of Australian enterprises, 1990 to 2007 : An empirical analysis of the relationship between turbulence among firms, productivity, growth and exports. This project will examine determinants and effects of enterprise entry and exit on growth, export and productivity in Australian industry using innovative panel enterprise data sets which have been collated and linked from existing ABS surveys, administrative data and accounting data. Currently, there is only one short longitudinal en ....The evolution of Australian enterprises, 1990 to 2007 : An empirical analysis of the relationship between turbulence among firms, productivity, growth and exports. This project will examine determinants and effects of enterprise entry and exit on growth, export and productivity in Australian industry using innovative panel enterprise data sets which have been collated and linked from existing ABS surveys, administrative data and accounting data. Currently, there is only one short longitudinal enterprise data set in Australia. Further data sets are required if policy makers are to understand patterns and causes of growth and business survival in Australia. Understanding provided from these studies should significantly improve our undertanding of how businesses perform.Read moreRead less
Towards in-vehicle situation awareness using visual and audio sensors. This project aims to characterise driver awareness, activity and interactions with other vehicle occupants using visual and audio cues from internally mounted sensors. Road accidents cost Australia an estimated $30 billion per year and tragic loss of thousands of lives, yet the vast majority of severe vehicle crashes are linked to driver fatigue or distraction. The expected project outcomes include advanced artificial intelli ....Towards in-vehicle situation awareness using visual and audio sensors. This project aims to characterise driver awareness, activity and interactions with other vehicle occupants using visual and audio cues from internally mounted sensors. Road accidents cost Australia an estimated $30 billion per year and tragic loss of thousands of lives, yet the vast majority of severe vehicle crashes are linked to driver fatigue or distraction. The expected project outcomes include advanced artificial intelligence to infer and predict dangerous driver and passenger behaviour. This has the potential to significantly benefit society by advancing autonomous driving capabilities and reducing driver-induced accidents and fatalities, ensuring that every driver, passenger and pedestrian arrives home safely at the end of each day.Read moreRead less
Secure and Resistant Blockchain for Financial and Business Applications. The aim of this project is to develop a practical secure blockchain technology for the booming applications in finance and business. This project expects to address the leading security threats to the current blockchain applications. The expected outcome is an executable secure and resistant blockchain prototype through the integration of the latest developed and customized techniques. The success of the project will dramat ....Secure and Resistant Blockchain for Financial and Business Applications. The aim of this project is to develop a practical secure blockchain technology for the booming applications in finance and business. This project expects to address the leading security threats to the current blockchain applications. The expected outcome is an executable secure and resistant blockchain prototype through the integration of the latest developed and customized techniques. The success of the project will dramatically benefit Australian people and government, especially for the Australian ICT industry for commercializing the research outputs. Read moreRead less
New error correction strategies for continuous variable quantum key distribution. Quantum key distribution is a completely secure method for two distant parties to share a unique secret key. The aim of this project is to design new algorithms, construction tools and analysis techniques to produce new iterative error correction codes, which will improve the operational distance and performance of quantum key distribution.
Towards a superannuation system fit for the future. Towards a superannuation system fit for the future. This project aims to develop a stochastic superannuation model and propose alternative post retirement solutions, using data-led understanding of savings habits. Funding for the increasing cost of the growing older population will, if not modelled, forecast and managed adequately, swamp all other welfare and state funded costs. To manage older age costs adequately, governments need to encourag ....Towards a superannuation system fit for the future. Towards a superannuation system fit for the future. This project aims to develop a stochastic superannuation model and propose alternative post retirement solutions, using data-led understanding of savings habits. Funding for the increasing cost of the growing older population will, if not modelled, forecast and managed adequately, swamp all other welfare and state funded costs. To manage older age costs adequately, governments need to encourage people to save and provide ways people can save—but need to better understand how people save money for their old age. This research is expected to enable the “superannuation change“ necessary for the superannuation system to remain sustainable and fund retirees to live well.Read moreRead less
Australian alpine seed ecology: Plant conservation and adaptation to climate change. The Australian alpine region is critically vulnerable to climate change. Many alpine plant species are already threatened. Our project facilitates effective management of Australian alpine flora, enabling us to preserve alpine biodiversity and improve ecosystem resilience to climate change. Seed banking provides conservation of nationally vulnerable and threatened flora, providing insurance against extinction. O ....Australian alpine seed ecology: Plant conservation and adaptation to climate change. The Australian alpine region is critically vulnerable to climate change. Many alpine plant species are already threatened. Our project facilitates effective management of Australian alpine flora, enabling us to preserve alpine biodiversity and improve ecosystem resilience to climate change. Seed banking provides conservation of nationally vulnerable and threatened flora, providing insurance against extinction. Our exemplary contribution to global seed conservation provides a national resource of alpine seeds for revegetation and research and interpretive resources at the Australian National Botanic Gardens facilitate public awareness of the ecological significance and fragility of Australian alpine ecology in response to climate change.Read moreRead less
Conservation genomics of a critically endangered insect. This project aims to develop tools genotyping large animal genomes, focusing on the case of the Lord Howe Island stick insect, once thought to be extinct and now critically endangered. This project expects to generate molecular tools to monitor the genetic health the insect which has a large, complex and poorly understood genome. Expected outcomes include the development of a preservation and reintroduction strategy for the insect. This pr ....Conservation genomics of a critically endangered insect. This project aims to develop tools genotyping large animal genomes, focusing on the case of the Lord Howe Island stick insect, once thought to be extinct and now critically endangered. This project expects to generate molecular tools to monitor the genetic health the insect which has a large, complex and poorly understood genome. Expected outcomes include the development of a preservation and reintroduction strategy for the insect. This project will benefit ongoing conservation efforts, and is timely given the ongoing eradication of rats from Lord Howe Island where this species once lived. Read moreRead less