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
Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical b ....Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical books. Libraries and legal, social and data science researchers will investigate eBook lending practices and understand their social impacts. The project will identify ways of reforming policy, law, and practice to help libraries fulfil their public interest missions. This project is expected to enable libraries to extract more value from existing public investments.Read moreRead less
Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended ....Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.Read moreRead less
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
Characterisation of nanobubbles. Surprisingly, nano-sized bubbles have recently been found to exist in aqueous solutions. Classical theory tells us they should rapidly dissolve, yet they are stable for several days, a phenomenon which has only recently been explained. Despite this, nanobubbles are already used in cleaning processes and appear to have significant health benefits. They are being investigated in treatments for asthma and neurodegenerative diseases. In collaboration with a pharmaceu ....Characterisation of nanobubbles. Surprisingly, nano-sized bubbles have recently been found to exist in aqueous solutions. Classical theory tells us they should rapidly dissolve, yet they are stable for several days, a phenomenon which has only recently been explained. Despite this, nanobubbles are already used in cleaning processes and appear to have significant health benefits. They are being investigated in treatments for asthma and neurodegenerative diseases. In collaboration with a pharmaceutical company, the best means to produce and characterise nanobubbles will be investigated, as well as the conditions governing their stability. The project also aims to determine how the nanobubbles interact with surfaces in order to better control their properties and achieve a better understanding of these bubbles.Read moreRead less
Cost efficient scheduling of big data application workflows on cloud through information correlation. Information correlation in and between big data application workflows scheduled on the cloud can help to significantly reduce overall scheduling costs by avoiding the execution of many correlated workflow activities. This project aims to systematically investigate such correlation for cost efficient scheduling. The expected outcomes are: establishing information correlation based scheduling rese ....Cost efficient scheduling of big data application workflows on cloud through information correlation. Information correlation in and between big data application workflows scheduled on the cloud can help to significantly reduce overall scheduling costs by avoiding the execution of many correlated workflow activities. This project aims to systematically investigate such correlation for cost efficient scheduling. The expected outcomes are: establishing information correlation based scheduling research and practical solutions for this important cloud and big data research area; benefiting key big data application areas on the cloud, such as hospitals, insurance companies and government information services; and helping to maintain Australia at the forefront of cloud and big data research with innovative industry applications.Read moreRead less
Investigating the atomic structure of an immune cell inhibitory receptor. T cells play a key role in the adaptive immune system, whose reactivity must be controlled to prevent aberrant reactivity. Central to the function of T cells is the T cell antigen receptor, and a host of co-stimulatory molecules, co-receptors and inhibitory receptors. This proposal, in partnership with Immutep Ltd, aims to gain a basic understanding of the structure and function of a key inhibitory receptor found on T cel ....Investigating the atomic structure of an immune cell inhibitory receptor. T cells play a key role in the adaptive immune system, whose reactivity must be controlled to prevent aberrant reactivity. Central to the function of T cells is the T cell antigen receptor, and a host of co-stimulatory molecules, co-receptors and inhibitory receptors. This proposal, in partnership with Immutep Ltd, aims to gain a basic understanding of the structure and function of a key inhibitory receptor found on T cells, termed the Lymphocyte activation gene-3 (LAG-3). The proposal utilises a combination of cellular immunology and structural biology to gain insight into the form and function of the LAG-3 molecule. Ultimately this fundamental knowledge can be used by the biotechnology industry.Read moreRead less
Virtual Environments for Improved Enterprise Software Deployment. This project aims to improve quality assurance for enterprise IT. Enterprise IT systems are highly interconnected and interdependent — a failure in one system can cause a cascade of failures across multiple systems, bringing business to a standstill. The project aims to create new technologies to automate the provisioning of virtual deployment environments to test the enterprise systems. In particular, it aims to develop new metho ....Virtual Environments for Improved Enterprise Software Deployment. This project aims to improve quality assurance for enterprise IT. Enterprise IT systems are highly interconnected and interdependent — a failure in one system can cause a cascade of failures across multiple systems, bringing business to a standstill. The project aims to create new technologies to automate the provisioning of virtual deployment environments to test the enterprise systems. In particular, it aims to develop new methods for the automatic analysis of service interaction traces and the generation of accurate executable service models, without requiring explicit knowledge of them. The automatic analysis and generation should reduce development cost for enterprise IT systems and increase system quality and reliability. The new software deployment technologies from this project aim to significantly reduce the time, effort and cost of system quality assurance activities in software development organisations, and yet produce higher-quality software leading to uninterrupted business operation in end-user organisations across all sectors.Read moreRead less
Investigating the structure of a T cell immune checkpoint molecule. This project aims to investigate the basic structure and function of a key co-receptor expressed on T cells, known as lymphocyte activation gene-3. T cells play a role in the immune system but must be managed to prevent autoimmunity. Insight into the function of the lymphocyte activation gene-3 function can be used to tailor immunotherapeutics to treat a variety of diseases, including cancer. Functionality of the T cell recept ....Investigating the structure of a T cell immune checkpoint molecule. This project aims to investigate the basic structure and function of a key co-receptor expressed on T cells, known as lymphocyte activation gene-3. T cells play a role in the immune system but must be managed to prevent autoimmunity. Insight into the function of the lymphocyte activation gene-3 function can be used to tailor immunotherapeutics to treat a variety of diseases, including cancer. Functionality of the T cell receptor is determined by utilising structural biology and cellular immunology techniques. The impact of this project effects the development of innovative T cell immunomodulatory agents, improving the health and quality of life of the Australian population.Read moreRead less