Young people bereaved by domestic homicide. Far-reaching decisions are made about the future of a child bereaved by domestic homicide, including where they should live and whether they should have contact with the perpetrator. Practitioners and policymakers lack empirical and theoretical input to guide these decisions. This fellowship draws upon young people's, caregivers' and professionals' perspectives on children's living arrangements, relationships and identity development post-homicide. It ....Young people bereaved by domestic homicide. Far-reaching decisions are made about the future of a child bereaved by domestic homicide, including where they should live and whether they should have contact with the perpetrator. Practitioners and policymakers lack empirical and theoretical input to guide these decisions. This fellowship draws upon young people's, caregivers' and professionals' perspectives on children's living arrangements, relationships and identity development post-homicide. It expects to generate a theoretical model of children's outcomes as well as actionable advice for policymakers and practitioners. The main benefit will be enhanced capacity to support children, families and professionals in the context of domestic homicide in Australia and abroad. Read moreRead less
Smart Wireless Radio Environments for the 6G Era. This project aims to revolutionise radio signal propagation and information transfer by developing “smart” wireless radio environments. Using Reconfigurable Intelligent Surface (RIS), the smart wireless network can transmit information without generating new signals but recycling the incoming signal. However, as an emerging technology, fundamental analysis – in terms of rate, reliability, and efficiency – is needed to understand the performance o ....Smart Wireless Radio Environments for the 6G Era. This project aims to revolutionise radio signal propagation and information transfer by developing “smart” wireless radio environments. Using Reconfigurable Intelligent Surface (RIS), the smart wireless network can transmit information without generating new signals but recycling the incoming signal. However, as an emerging technology, fundamental analysis – in terms of rate, reliability, and efficiency – is needed to understand the performance of RIS-empowered wireless networks. Expected outcomes include new communication-theoretic models and the enabling technologies to realise them in practice. These smart environments have the potential to offer “greener” and more "seamless wireless connectivity" for the future wireless network.Read moreRead less
Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expecte ....Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expected outcomes are algorithms for public and private sector data curators to dial up or down their data access arrangements based on privacy risks and fidelity demands linked with different data types and uses. This project intends to enable Australians to securely benefit from valuable data in decision making.Read moreRead less
A ubiquitous system for indoor location-based services. This project aims to design a system capable of providing location-based services in WiFi-enabled indoor buildings. The project expects to address two major challenges hindering such a system, capability to identify a user's location in any indoor venue with minimum manual overhead, and effective data management techniques for indoor data. Expected outcomes of this project include new techniques for managing and utilising indoor location da ....A ubiquitous system for indoor location-based services. This project aims to design a system capable of providing location-based services in WiFi-enabled indoor buildings. The project expects to address two major challenges hindering such a system, capability to identify a user's location in any indoor venue with minimum manual overhead, and effective data management techniques for indoor data. Expected outcomes of this project include new techniques for managing and utilising indoor location data and enhanced international collaborations. The project will support and enhance a wide range of indoor applications such as emergency services, assisted healthcare systems, indoor asset tracking, event planning, indoor venue management, and consumer experience.Read moreRead less
Taming Large-Volume Dynamic Graphs in the Cloud. This project aims to develop efficient and scalable algorithms to process large-volume dynamic graphs in the cloud. The project expects to address key challenges and lay theoretical foundations in large-volume dynamic graph processing, which plays an important role in developing general-purpose, real-time structural search engines. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big graphs that ....Taming Large-Volume Dynamic Graphs in the Cloud. This project aims to develop efficient and scalable algorithms to process large-volume dynamic graphs in the cloud. The project expects to address key challenges and lay theoretical foundations in large-volume dynamic graph processing, which plays an important role in developing general-purpose, real-time structural search engines. Expected outcomes of this project include theoretical foundations and scalable algorithms to process big graphs that evolve rapidly over time. These enable users to monitor and analyse structural information in large dynamic networks in real time. The project expects to open up a new research direction for graph processing to enrich frontier technologies and benefit many key applications in Australia.Read moreRead less
Efficient and Scalable Processing of Dynamic Heterogeneous Graphs . This project aims to develop efficient and scalable algorithms to process large-scale dynamic heterogeneous graphs where graph nodes and edges are of multiple types and the graph structure updates dynamically. Key challenges are expected to be addressed including complex structure, high speed, and large volume of dynamic heterogeneous graphs. The anticipated outcomes include novel computing paradigms, algorithms, indexing, incre ....Efficient and Scalable Processing of Dynamic Heterogeneous Graphs . This project aims to develop efficient and scalable algorithms to process large-scale dynamic heterogeneous graphs where graph nodes and edges are of multiple types and the graph structure updates dynamically. Key challenges are expected to be addressed including complex structure, high speed, and large volume of dynamic heterogeneous graphs. The anticipated outcomes include novel computing paradigms, algorithms, indexing, incremental computation, distributed algorithms as well as a system prototype to demonstrate the practical value. Success of this project will open up a new research direction to enrich frontier technologies and benefit many key applications in Australia including cybersecurity, e-commerce, health and social networks.Read moreRead less
Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of ....Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of mechanisms driving insurance scheme performance, enabling comparison of anticipated outcomes in response to legislative changes, policy changes and management decisions. The project aims to help schemes avoid human and financial failure, benefitting people with injuries and disabilities while reducing scheme costs.Read moreRead less
Energy Neutral Anthropogenic Nitrogen Management. This project aims to develop an innovative energy-neutral biological ammonium management strategy based on a novel anaerobic ammonia oxidation pathway. Ammonium-rich waste streams from urban and agricultural settings are a major cause of eutrophication and impose severe environmental burdens to human and ecological health. This project is expected to fundamentally change how we manage ammonium pollution, and will have immediate applicability to e ....Energy Neutral Anthropogenic Nitrogen Management. This project aims to develop an innovative energy-neutral biological ammonium management strategy based on a novel anaerobic ammonia oxidation pathway. Ammonium-rich waste streams from urban and agricultural settings are a major cause of eutrophication and impose severe environmental burdens to human and ecological health. This project is expected to fundamentally change how we manage ammonium pollution, and will have immediate applicability to engineered bioreactors systems. This will provide significant benefits in supporting a wide range of industries that struggle with finding affordable and net-zero ways to manage ammonium wastes, providing an important step to reach global net-zero carbon emissions.Read moreRead less
Australian television in the smart TV ecosystem. This project aims to investigate the cultural impacts of smart TVs in Australia. A majority of Australian adults now use an internet-connected (smart) TV set or streaming device, fundamentally changing the way content is discovered, accessed and experienced. This project expects to advance policy knowledge of the smart TV platforms built into these devices; their effects on public access; and how they structure users' viewing choices. Expected out ....Australian television in the smart TV ecosystem. This project aims to investigate the cultural impacts of smart TVs in Australia. A majority of Australian adults now use an internet-connected (smart) TV set or streaming device, fundamentally changing the way content is discovered, accessed and experienced. This project expects to advance policy knowledge of the smart TV platforms built into these devices; their effects on public access; and how they structure users' viewing choices. Expected outcomes of the project include improved understanding of the cultural, consumer and competition implications of emerging television technologies. Expected benefits include informed decision-making and improved policy options for government, consumers, public-service media and local screen industries.Read moreRead less
Advanced search of cohesive subgraphs in big graphs. This project aims to study advanced cohesive subgraph searches, as well as design efficient and scalable techniques to conduct such searches. Cohesive subgraph search over big graphs is demanded by many applications, such as risk management, analysis of users’ behaviours, cybersecurity, crime detection, social marketing and community search. This project will develop, analyse, implement, and evaluate novel indexing and data processing techniqu ....Advanced search of cohesive subgraphs in big graphs. This project aims to study advanced cohesive subgraph searches, as well as design efficient and scalable techniques to conduct such searches. Cohesive subgraph search over big graphs is demanded by many applications, such as risk management, analysis of users’ behaviours, cybersecurity, crime detection, social marketing and community search. This project will develop, analyse, implement, and evaluate novel indexing and data processing techniques to support a set of advanced cohesive subgraph searches. This will provide significant benefits to many applications such as the next generation of fintech, cybersecurity, e-commerce, crime detection and social network analysis.Read moreRead less