Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the mat ....Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the matching of the clusters across the entities in the class. The project will use a statistical approach to automatically match the clusters, since the overall mixture model provides a template for the class. It will provide a basis for discriminating between different classes in addition to the identification of atypical data points within a sample and of anomalous samples within a class. Key applications include biological image analysis and the analysis of data in flow cytometry which is one of the fundamental research tools for the life scientist.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100129
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Internet of things testbed for creating a Smart City. The Internet of Things Testbed facility replicates the conditions of a city-wide distribution of sensors and data collection applications to model in real time the functioning urban sensing elements of a smart city, translating vast amounts of sensor data into meaningful information and ultimately action.
Data analytics-based tools and methods to enhance self-regulated learning. This project aims to develop student self-regulated learning skills by harnessing the potential of Big Data analytics. The project expects to generate new knowledge at the intersection of learning analytics, educational technology, learning sciences and teaching practice resulting from novel data collection and analysis tools and methods. The outputs are expected to include insights into metacognitive, motivational, and t ....Data analytics-based tools and methods to enhance self-regulated learning. This project aims to develop student self-regulated learning skills by harnessing the potential of Big Data analytics. The project expects to generate new knowledge at the intersection of learning analytics, educational technology, learning sciences and teaching practice resulting from novel data collection and analysis tools and methods. The outputs are expected to include insights into metacognitive, motivational, and technical issues facing analytics-based personalised feedback. The outcomes are intended to offer benefits for developing pedagogical and the design of educational technology. The outcomes can result in improved student learning outcomes in higher education to ensure graduates are prepared for the digital economy.Read moreRead less
Understanding, measuring and managing the benefits of urban waterways. This project aims to improve understanding of the contribution of urban waterways to enhanced liveability in cities. Australia needs better water resource management and the rapid growth of Australia’s cities places increased importance on managing natural assets in metropolitan areas. The project focuses on clarifying the link between the benefits of waterways and the measurement techniques used by economists, which in turn ....Understanding, measuring and managing the benefits of urban waterways. This project aims to improve understanding of the contribution of urban waterways to enhanced liveability in cities. Australia needs better water resource management and the rapid growth of Australia’s cities places increased importance on managing natural assets in metropolitan areas. The project focuses on clarifying the link between the benefits of waterways and the measurement techniques used by economists, which in turn inform management choices. The project aims to fill an important gap between the psychology and economics disciplines and outputs should significantly improve the way waterways are valued and managed. This is intended to offer benefits for urban residents and to improve the methodologies used for environmental valuation.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC210100056
Funder
Australian Research Council
Funding Amount
$3,975,864.00
Summary
ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning an ....ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning and artificial intelligence for the delivery of optimal solutions in diagnosis, treatment and wellbeing. The centre will deliver training in Industry 4.0 skills which will boost early-stage scale-up and accelerate the sector’s supply chain, which is pivotal for the Australian industries to maintain a competitive edge. Read moreRead less
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.Read moreRead less
Putting death in its place. The project aims to link 890,000 population records to place of residence from 1838 to 1930, to examine the relationships between where people live, mortality, life expectancy and health. Where people live impacts their life-course outcomes. Using novel matching techniques, the project expects to identify intergenerational changes and the spatial dynamics of inequality and social mobility. Expected outcomes include the creation of a public resource of linked data and ....Putting death in its place. The project aims to link 890,000 population records to place of residence from 1838 to 1930, to examine the relationships between where people live, mortality, life expectancy and health. Where people live impacts their life-course outcomes. Using novel matching techniques, the project expects to identify intergenerational changes and the spatial dynamics of inequality and social mobility. Expected outcomes include the creation of a public resource of linked data and a better understanding of long-run health and inequality. These should provide economic and social benefits by informing policy aimed at contemporary social and health challenges, enhancing our understanding of Australian history, and developing public resources.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0453434
Funder
Australian Research Council
Funding Amount
$395,077.00
Summary
A new airborne facility for environmental, hydrological, atmospheric and oceanic research: high resolution measurement of soil moisture, temperature and salinity. This proposal seeks to establish a new national capability for airborne remote sensing of key environmental variables. It will enable high-resolution mapping of near-surface soil moisture, land surface salinity and temperature, and ocean surface salinity and temperature. It will be a new tool for hydrologic, atmospheric and oceanic r ....A new airborne facility for environmental, hydrological, atmospheric and oceanic research: high resolution measurement of soil moisture, temperature and salinity. This proposal seeks to establish a new national capability for airborne remote sensing of key environmental variables. It will enable high-resolution mapping of near-surface soil moisture, land surface salinity and temperature, and ocean surface salinity and temperature. It will be a new tool for hydrologic, atmospheric and oceanic researchers, providing unprecedented detail on characteristics critical to our understanding and management of the environment. The small instrument size and weight will enable use of a light aircraft as the observing platform, providing the national (and international) research community with an affordable tool, hitherto unavailable.Read moreRead less
ARC Centre of Excellence for Gravitational Wave Discovery. ARC Centre of Excellence for Gravitational Wave Discovery. The mission of our Centre is to use gravitational waves to investigate the fundamental nature of relativistic gravity, ultra-dense matter, and cosmology. This will generate critical discoveries that cement Australia's leadership role in the gravitational wave mega-science instruments of the 2030s and 2040s. By bringing together a world-class team with broad and complementary expe ....ARC Centre of Excellence for Gravitational Wave Discovery. ARC Centre of Excellence for Gravitational Wave Discovery. The mission of our Centre is to use gravitational waves to investigate the fundamental nature of relativistic gravity, ultra-dense matter, and cosmology. This will generate critical discoveries that cement Australia's leadership role in the gravitational wave mega-science instruments of the 2030s and 2040s. By bringing together a world-class team with broad and complementary expertise we will develop core technologies for future detectors, discover new sources of gravitational waves, probe fundamental physics, and lay the foundations for an Australian gravitational wave observatory. Our discoveries will inspire Australia's youth to pursue high tech careers and position our staff and students to become leaders in both industry and academia.Read moreRead less