Geological sequestration of carbon dioxide in deep saline aquifers: coupled flow-mechanical considerations. Deep saline aquifers have been routinely proposed as sites for long-term, large-scale storage of carbon dioxide (CO2) emissions, as an option to assist the abatement of global warming. This project investigates expected engineering behaviour of deep saline aquifer reservoirs and their stability following CO2 sequestration.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100098
Funder
Australian Research Council
Funding Amount
$230,000.00
Summary
A comprehensive gas/vapour sorption facility for the fast advancement of decarbonised energy technologies. Solutions to clean energy production, storage and use are critical to Australia’s prosperity, yet there is a significant lack of targeted research facilities for the development of the highly needed materials and technologies for powering a sustainable Australia. This facility will bring research efforts closer to practical solutions.
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
Lead-free oxide perovskites for highly efficient solar cells. This project aims to develop nanostructured lead-free oxide perovskites for solar energy applications. These materials will strengthen the future of photovoltaic technology by overcoming bandgap voltage limitations and toxicity/stability issues that plague conventional silicon-based and emerging halide perovskite-based solar cells. This project is expected to advance the rational design of solar cells based on oxide perovskites, which ....Lead-free oxide perovskites for highly efficient solar cells. This project aims to develop nanostructured lead-free oxide perovskites for solar energy applications. These materials will strengthen the future of photovoltaic technology by overcoming bandgap voltage limitations and toxicity/stability issues that plague conventional silicon-based and emerging halide perovskite-based solar cells. This project is expected to advance the rational design of solar cells based on oxide perovskites, which are efficient, high output voltage, environmentally friendly photovoltaic technology Success of the proposed programme paves the way to promote photovoltaic technology as a mainstream power generation source and a significant contributor to achieving energy, environmental and economic goals.Read moreRead less
Reconceiving Machine Learning. The proposed research will develop a new way to consider problems to which machine learning can be applied. Machine learning is crucial enabler of the digital economy. The research will provide better opportunities for Australian industry to gain a competitive advantage with machine learning technology. The framework developed will enable better opportunities for collaborative research and will build and strengthen international linkages.
Multifunctional trilayer separator for durable multivalent energy storage. This project aims to develop an important new family of economical, high energy, multivalent batteries based on an abundant element, sulphur. The project plans to design a new battery separator to enable long-term stability in sulphur-based rechargeable batteries. This type of separator is of critical importance in many membrane-involved energy storage technologies. The project plans to use leading-edge durable energy tec ....Multifunctional trilayer separator for durable multivalent energy storage. This project aims to develop an important new family of economical, high energy, multivalent batteries based on an abundant element, sulphur. The project plans to design a new battery separator to enable long-term stability in sulphur-based rechargeable batteries. This type of separator is of critical importance in many membrane-involved energy storage technologies. The project plans to use leading-edge durable energy technologies to strengthen the development of residential energy systems and the involvement of renewable energy sources in modern grid.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100141
Funder
Australian Research Council
Funding Amount
$1,294,000.00
Summary
Facility for in-situ nuclear magnetic resonance of advanced materials and devices. This unique characterisation facility will support and enhance high-quality research in four key areas: electro-materials and nanotechnology, light metal alloys, biotechnology and energy related devices. This research will lead to new materials and new technologies in clean energy, carbon dioxide capture and health care.
Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less
Generic Content-based News Picture Retrieval with Local Invariant Features. Image Retrieval searches for images from large databases whose visual content meets the requirements submitted by users. Besides directly benefiting the Partner Organization, this project will enable more efficient access to large picture repositories in news agencies and publishers, digital libraries and film archives. It will make public use of visual information much more convenient and economical. It will help securi ....Generic Content-based News Picture Retrieval with Local Invariant Features. Image Retrieval searches for images from large databases whose visual content meets the requirements submitted by users. Besides directly benefiting the Partner Organization, this project will enable more efficient access to large picture repositories in news agencies and publishers, digital libraries and film archives. It will make public use of visual information much more convenient and economical. It will help security officers to effortlessly and accurately find particular scenes from the images generated by a large closed-circuit TV networks. Also, the developed technology can be applied to tele-education and e-commerce. New algorithms developed in this project will benefit the Australian and world scientific communities.Read moreRead less