ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Next generation easy-clean lenses by robust liquid-repellent nanotextures. This project aims to produce better performing self-cleaning lenses, which are less likely to get dirty and are easy to clean. It will develop water and oil repellent coatings with superior optical transparency and mechanical, solvent and UV stability for both hard coated and anti-reflection coated optical lenses. Engineering of stable, ultra-liquid repellent nanomaterials on transparent surfaces will create a foundation ....Next generation easy-clean lenses by robust liquid-repellent nanotextures. This project aims to produce better performing self-cleaning lenses, which are less likely to get dirty and are easy to clean. It will develop water and oil repellent coatings with superior optical transparency and mechanical, solvent and UV stability for both hard coated and anti-reflection coated optical lenses. Engineering of stable, ultra-liquid repellent nanomaterials on transparent surfaces will create a foundation of knowledge for the industrial development of the future generation of easy care coatings, with vast application potential.Read moreRead less
ARC Centre of Excellence in Optical Microcombs for Breakthrough Science. ARC Centre of Excellence in Optical Microcombs for Breakthrough Science. This Centre aims to explore the society wide transformations that will flow from optical frequency combs - thousands of highly pure light signals precisely spaced across the entire optical spectrum - by leveraging and building upon the latest breakthroughs in physics, materials science and nanofabrication. It expects to generate a wide new base of know ....ARC Centre of Excellence in Optical Microcombs for Breakthrough Science. ARC Centre of Excellence in Optical Microcombs for Breakthrough Science. This Centre aims to explore the society wide transformations that will flow from optical frequency combs - thousands of highly pure light signals precisely spaced across the entire optical spectrum - by leveraging and building upon the latest breakthroughs in physics, materials science and nanofabrication. It expects to generate a wide new base of knowledge in fields as diverse as astronomy, spectroscopy, chemical sensors, and precision measurement. Expected outcomes include the capability to realise complete comb systems on a chip the size of a fingernail, tailored to specific applications, with significant benefits spanning from imaging live cells to autonomous vehicles, satellite communications, and the search for exoplanets.Read moreRead less
New approach to sensitivity assessment of complex simulation models for environmental management. The aims are (1) to develop new techniques that improve and extend the capabilities of sensitivity analysis of large and complex computer models for environmental management; and (2) with the industry partners, to test these techniques on models for salinity management in the Murray-Darling Basin. The project's significance is in providing new techniques able to answer a range of model users? questi ....New approach to sensitivity assessment of complex simulation models for environmental management. The aims are (1) to develop new techniques that improve and extend the capabilities of sensitivity analysis of large and complex computer models for environmental management; and (2) with the industry partners, to test these techniques on models for salinity management in the Murray-Darling Basin. The project's significance is in providing new techniques able to answer a range of model users? questions at acceptable computational cost, for complex models with outputs measured in a wide variety of ways. The outcomes will be new sensitivity assessment tools and experience of their use in an environmental application of great importance to Australia.Read moreRead less
Special Research Initiatives - Grant ID: SR0354677
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Sustainable terrestrial and riverine systems through integrated assessment and modelling. Australia must take the lead internationally in sustainability assessment and management; it hosts both the problems and expertise, and is proactive in integrating research and management. This Initiative unites, for the first time, leading researchers from all relevant disciplines to advance our knowledge for achieving sustainable terrestrial and riverine systems (STARS). The intended network can produce a ....Sustainable terrestrial and riverine systems through integrated assessment and modelling. Australia must take the lead internationally in sustainability assessment and management; it hosts both the problems and expertise, and is proactive in integrating research and management. This Initiative unites, for the first time, leading researchers from all relevant disciplines to advance our knowledge for achieving sustainable terrestrial and riverine systems (STARS). The intended network can produce assessments, strategies and policy directions that are objective, adaptive and inclusive. It can evaluate trade-offs between sustainability strategies, integrating research and outcomes, making them accessible to managers. It will build a coordinated research capability that directly supports Australia's goal of ecologically sustainable development. Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100033
Funder
Australian Research Council
Funding Amount
$3,852,568.00
Summary
ARC Training Centre for Transformation of Australia's Biosolids Resource. This Centre aims to bring together Australia’s leading biosolids researchers and key industry and government stakeholders to advance the management, transformation and reuse of biosolids in agriculture. The focus is: 1) capability and knowledge building, 2) research development, extension and training, 3) sustainable strategic partnerships. The expected outcomes of the Centre are to develop a group of new, highly-trained i ....ARC Training Centre for Transformation of Australia's Biosolids Resource. This Centre aims to bring together Australia’s leading biosolids researchers and key industry and government stakeholders to advance the management, transformation and reuse of biosolids in agriculture. The focus is: 1) capability and knowledge building, 2) research development, extension and training, 3) sustainable strategic partnerships. The expected outcomes of the Centre are to develop a group of new, highly-trained industry-ready researchers as well as advanced solutions in three major themes: improved technologies, enhanced products and sustainability. This will provide significant benefits in the economic value of new applications and market opportunities as well as deliver cost-savings – all in an environmentally friendly manner.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100040
Funder
Australian Research Council
Funding Amount
$450,000.00
Summary
Integrated Greenhouse Gas Measurement System (IGMS) for monitoring agricultural emissions at field to regional scales. Measurement of greenhouse gases is critical to Australia’s obligations to reduce carbon emissions. The measurement facility will provide urgently needed accurate emission data from Australian agriculture to establish emission baselines and develop methods to extend the point-scale measurements to whole farm, regional and national scales.
Industrial Transformation Training Centres - Grant ID: IC170100030
Funder
Australian Research Council
Funding Amount
$4,133,659.00
Summary
ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students ....ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students and postdoctoral researchers. These researchers will lead the medical technology industry into a new era of data-driven personalised and precision medical devices and applications. The Centre will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in the area of health.Read moreRead less
Rethinking housing: network analysis for digital collaboration. This project aims to understand persistent housing sector supply problems through analysis of digital collaborative practices. This project expects to generate new knowledge for an emerging housing digital economy using interdisciplinary network theory and data visualisation techniques. The housing sector has long been criticised for shortcomings in affordability, efficiency, quality, social and environmental responsiveness and appr ....Rethinking housing: network analysis for digital collaboration. This project aims to understand persistent housing sector supply problems through analysis of digital collaborative practices. This project expects to generate new knowledge for an emerging housing digital economy using interdisciplinary network theory and data visualisation techniques. The housing sector has long been criticised for shortcomings in affordability, efficiency, quality, social and environmental responsiveness and appropriateness of offerings. Expected outcomes include enhanced housing supply professionals' capability, improved knowledge among public/private sector decision makers responsible for housing supply and development of new digital collaborative behavioural theoretical and practical frameworks for the sector.Read moreRead less