A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise th ....A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise the mobile edge computing platform from the computation, storage, and network aspects. The invented mobile edge computing platform will enable more intelligent business applications for various industries, e.g., IT, manufacturing, and media, to appear, thus benefiting both the economy of Australia.Read moreRead less
Regional Comparisons of Prices, Income and Growth in Australia. We will measure how much the cost of living and rates of inflation differ across the eight capital cities in Australia, and then test whether real per capita income levels across cities are converging or diverging over time. To make such comparisons, the ABS's databases on each capital city must first be harmonized. While doing this we will review the ABS's current procedures for data construction and quality assessment. A further a ....Regional Comparisons of Prices, Income and Growth in Australia. We will measure how much the cost of living and rates of inflation differ across the eight capital cities in Australia, and then test whether real per capita income levels across cities are converging or diverging over time. To make such comparisons, the ABS's databases on each capital city must first be harmonized. While doing this we will review the ABS's current procedures for data construction and quality assessment. A further aim is to show how statistical modelling using spanning-tree methods can resolve the conflict that arises for price indexes constructed on panel data sets between temporal and spatial consistency.Read moreRead less
A Novel Optical Network Security and Encryption Device. The project falls within two of the desginated National Research Priorities, namely Frontier Technologies for Building and Transforming Australian Industries and Safeguarding Australia. The project will generate high quality graduates and will result in a novel photonic device. The outcome of this project would be an optical encryption device that will safeguard Australia through superior secure data communications. It will also create lucr ....A Novel Optical Network Security and Encryption Device. The project falls within two of the desginated National Research Priorities, namely Frontier Technologies for Building and Transforming Australian Industries and Safeguarding Australia. The project will generate high quality graduates and will result in a novel photonic device. The outcome of this project would be an optical encryption device that will safeguard Australia through superior secure data communications. It will also create lucrative opportunity for expanding the export capabilities of Australian ICT industry.Read moreRead less
New methods for small group analysis from sample surveys. National and state averages of statistics on issues such as unemployment, salinity, drought impact, and health often hide large differences between population sub-groups and between small areas. This local variation needs to be understood so that effective policies can be developed and carried out efficiently and their impact monitored. This project will provide, for the first time, robust and efficient methods for providing information o ....New methods for small group analysis from sample surveys. National and state averages of statistics on issues such as unemployment, salinity, drought impact, and health often hide large differences between population sub-groups and between small areas. This local variation needs to be understood so that effective policies can be developed and carried out efficiently and their impact monitored. This project will provide, for the first time, robust and efficient methods for providing information on these variations using data from large-scale national and state surveys. This will lead to significant improvements in the data available for small population groups and small areas, allowing better targeting of policies aimed at addressing local differences.Read moreRead less
Handling Missing Data in Complex Household Surveys. The Australian Bureau of Statistics (ABS) has an extensive program of household surveys that is a key source of information on the social and economic conditions of the population. They provide statistics and data on a large range of social and economic topics, such as health, education, the labour force, income and expenditure. Analysis of household survey data by a variety of organisations underpins policy development and evaluation and the e ....Handling Missing Data in Complex Household Surveys. The Australian Bureau of Statistics (ABS) has an extensive program of household surveys that is a key source of information on the social and economic conditions of the population. They provide statistics and data on a large range of social and economic topics, such as health, education, the labour force, income and expenditure. Analysis of household survey data by a variety of organisations underpins policy development and evaluation and the expenditure of billions of dollars. This project will substantially improve the cost-efficiency and reliability of Australian household survey data, by creating new approaches for handling missing data that deal with the realities of typical household surveys.Read moreRead less
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
Algebraic Methods in Design and Analysis of Stream Ciphers. The project investigates the problem of communication security in the mobile environment where both confidentiality and authenticity are of prime concern. Stream ciphers are a very natural choice in mobile environment as they provide an efficient cryptographic protection using a limited computing resources. We model stream cipher as a system of multivariate equations. In this approach, security of stream ciphers can be measured as the c ....Algebraic Methods in Design and Analysis of Stream Ciphers. The project investigates the problem of communication security in the mobile environment where both confidentiality and authenticity are of prime concern. Stream ciphers are a very natural choice in mobile environment as they provide an efficient cryptographic protection using a limited computing resources. We model stream cipher as a system of multivariate equations. In this approach, security of stream ciphers can be measured as the complexity of an algorithm that solves the appropriate system of equations. This project leads to new techniques for the design and analysis of stream ciphers.Read moreRead less
Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of ....Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of the performance of global diversified investment funds; and c) prediction to provide early warning of the emergence of destabilising deflation or inflation. These three applications will lead to improved risk management practices and investment performance. Recursive algorithms will provide new statistical methods to study investment asset price movements and market volatility.
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Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in th ....Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in the service industries. It is not well recognised that in developed countries, including Australia, the financial service and related sectors account for more than 60 percent of economic activity and employment, so it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial service and related sectors.Read moreRead less
Bayesian methodology for analysis of genome data with focus on the livestock industry. The aim is to develop statistical methods for the design and analysis of genome data with focus on the special needs of the livestock industry. This will significantly contribute to profitability, quality, genetic improvement and genetic knowledge in a key national industry, improve Australia's international and national profile in the key research area of bioinformatics, and encourage optimisation of current ....Bayesian methodology for analysis of genome data with focus on the livestock industry. The aim is to develop statistical methods for the design and analysis of genome data with focus on the special needs of the livestock industry. This will significantly contribute to profitability, quality, genetic improvement and genetic knowledge in a key national industry, improve Australia's international and national profile in the key research area of bioinformatics, and encourage optimisation of current information. Outcomes include a toolkit of applicable statistical methods, statistically valid algorithms, marketable methods for gene discovery, technology transfer, training and publications.Read moreRead less