Microbiologically Induced Stress Corrosion Cracking in Underground Mines. Premature brittle failure of rock & cable bolts due to stress corrosion cracking can cause fatalities and serious damage, and has been reported in several mining operations across Australia and world-wide. The evidence suggests that microbial activity is a contributing factor. The project aims to implement experimental methodologies to determine the specific conditions responsible for bolt failure and develop novel prevent ....Microbiologically Induced Stress Corrosion Cracking in Underground Mines. Premature brittle failure of rock & cable bolts due to stress corrosion cracking can cause fatalities and serious damage, and has been reported in several mining operations across Australia and world-wide. The evidence suggests that microbial activity is a contributing factor. The project aims to implement experimental methodologies to determine the specific conditions responsible for bolt failure and develop novel prevention techniques applicable in underground mines. The benefits of this research will be improved understanding of the environment causing catastrophic failure of bolts and avoidance of potential hazards & economic loss in mining projects. This will lead to improved safety & increased productivity in mining operations.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
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
Salty gas: the ecological risk of saline effluents from coal seam gas and other hydrocarbon resources. The objective of this project is to predict the effect of saline water produced from coal and coal seam gas extraction activities on freshwater systems. The findings will assist decisions on whether to permit discharge of such waste water, and if permitted under what conditions (e.g. water quality criteria) so as to prevent environment damage.
Building resilient alpine environments with less snow. In this project, we aim to build resilience into alpine National Parks and Alpine Resorts to counter the effects of ongoing declines in snow. Alpine environments depend on snow to regulate water flows, insulate vegetation, control soil erosion and promote proper ecosystem functioning. How these processes will operate in a snow-free future is unknown. We will determine how and where snow characteristics drive soil water availability for plant ....Building resilient alpine environments with less snow. In this project, we aim to build resilience into alpine National Parks and Alpine Resorts to counter the effects of ongoing declines in snow. Alpine environments depend on snow to regulate water flows, insulate vegetation, control soil erosion and promote proper ecosystem functioning. How these processes will operate in a snow-free future is unknown. We will determine how and where snow characteristics drive soil water availability for plants and which plant species have the best adaptation and regeneration potential under extreme conditions such as heat, frost and drought. Benefits of the project include innovative land management and rehabilitation solutions, to safeguard Australia's alpine areas under changing environmental conditions.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
Mathematics and computing for integrated stockyard-centric management of mining supply chains. Blended mineral products, such as coal and iron ore, make a strong contribution to Australia's economy. Blending occurs in stockpiles, so to realise product value, stockyard and supply chain operational plans must align with blend targets. This project will provide new mathematical and computational planning tools to maximise this value.
The big flood: will it happen again? If we could better predict the frequency of extreme flood events, would we be better prepared to safeguard human lives and settlements? This project provides a time-line of flood activity in the south east Queensland region extending back thousands of years using state-of-the-art dating techniques and seeks to identifiy those settlements most at risk.
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