Industrial Transformation Research Hubs - Grant ID: IH140100035
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Computational Particle Technology. ARC Research Hub for Computational Particle Technology. This research hub aims to develop and apply advanced theories and mathematical models to design and optimise particulate and multiphase processes that are widely used in the minerals and metallurgical industries. This should be achieved through detailed analysis of the fundamentals governing fluid flow, heat and mass transfer at different time and length scales, facilitated by various ....ARC Research Hub for Computational Particle Technology. ARC Research Hub for Computational Particle Technology. This research hub aims to develop and apply advanced theories and mathematical models to design and optimise particulate and multiphase processes that are widely used in the minerals and metallurgical industries. This should be achieved through detailed analysis of the fundamentals governing fluid flow, heat and mass transfer at different time and length scales, facilitated by various novel research techniques. Research outcomes including theories, computer models and simulation techniques, as well as well-trained young researchers, should have a significant impact across a range of industries of vital importance to Australia’s economic and technological future, including the minerals, metallurgical, materials, chemical, energy, pharmaceutical and environment sectors.Read moreRead less
Enhanced Through-Wall Imaging using Bayesian Compressive Sensing. The aim of this project is to develop radar imaging techniques which enable us to 'see' objects behind walls and opaque materials. The major intended breakthrough is the ability to image objects behind walls and inside buildings or enclosed structures without accessing the scene. Novel signal and image processing algorithms, based on Bayesian compressive sensing, will be developed to enhance image quality and resolution, improve s ....Enhanced Through-Wall Imaging using Bayesian Compressive Sensing. The aim of this project is to develop radar imaging techniques which enable us to 'see' objects behind walls and opaque materials. The major intended breakthrough is the ability to image objects behind walls and inside buildings or enclosed structures without accessing the scene. Novel signal and image processing algorithms, based on Bayesian compressive sensing, will be developed to enhance image quality and resolution, improve speed of operation, and reduce the cost and time of data acquisition and processing. Many applications are expected to benefit from this research including search and rescue, surveillance, security, and defence. The research outcomes are expected to enhance the capabilities of the Australian armed forces, counter-terrorism, police and law-enforcement agencies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101297
Funder
Australian Research Council
Funding Amount
$429,000.00
Summary
A novel, dictionary-free, multi-contrast MRI method for microscopic imaging. This project aims to develop a novel quantitative imaging technique for comprehensive in vitro and in vivo tissue characterisation on the microscopic scale. The technology innovated in the project could revolutionise microscopic imaging techniques by breaking through the sub-millimetre image resolution bottleneck of current magnetic resonance imaging (MRI) methods. This project expects to generate new knowledge in the e ....A novel, dictionary-free, multi-contrast MRI method for microscopic imaging. This project aims to develop a novel quantitative imaging technique for comprehensive in vitro and in vivo tissue characterisation on the microscopic scale. The technology innovated in the project could revolutionise microscopic imaging techniques by breaking through the sub-millimetre image resolution bottleneck of current magnetic resonance imaging (MRI) methods. This project expects to generate new knowledge in the emerging field of biological imaging and to deliver an integrated imaging platform for mapping various tissue microscopic components at the cellular level. Successful outcomes have the potential for commercialisation and will accelerate a range of fundamental science and engineering studies requiring imaging techniques.Read moreRead less
Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in bi ....Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in biomedical image analysis. This project will lead to fundamental contributions as well as techniques that address both problems: extraction of relevant features information from multisubject brain imaging data sets of the same modality or from fusion of brain imaging data sets collected from multimodalities.Read moreRead less
Perceptually-motivated speech parameters for concurrent coding and noise-robust distributed recognition of human speech for mobile telephony systems. With speech being a simple and natural form of communication, speech recognition technology is being widely used in mobile phones. Nowadays, consumers can interact with remote systems via spoken words. This project will develop remote speech recognition with better accuracy and noise-robustness while using the existing mobile phone infrastructure.
Development and application of WO3-Mica Multifunctional Nanocomposites . This project aims to develop innovative techniques to produce advanced tungsten oxide/metal oxide/mica composites for paint applications. The findings will be used to develop pearlescent paints for diverse applications in a range of industries, with the potential for huge benefits in improving the value of metal oxides and mica. The findings will be useful in the development of other new materials and provide a foundation f ....Development and application of WO3-Mica Multifunctional Nanocomposites . This project aims to develop innovative techniques to produce advanced tungsten oxide/metal oxide/mica composites for paint applications. The findings will be used to develop pearlescent paints for diverse applications in a range of industries, with the potential for huge benefits in improving the value of metal oxides and mica. The findings will be useful in the development of other new materials and provide a foundation for new applications such as photochromic and self-cleaning paints. This will generate opportunities to develop and apply advanced knowledge to solve significant problems in industry, leading to national economic growth by adding high values of mineral resources in Australia.
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100208
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
An advanced computational facility based on a graphic processing unit for particulate research. The graphic processing unit (GPU) is becoming an engine for the next generation of supercomputers for scientific research. The technology at this new facility will be exploited to perform large-scale, real time simulations of complex particulate material processing which is critical to Australia’s mineral/metallurgical/material industries.
Long-term chemically induced crumbling of unsaturated brittle geomaterials. This project will investigate the crumbling of geomaterials such as soil and rock by analysing the microscopic mechanisms controlling their deterioration in acidic water. The project will help predict weathering processes using an experimentally validated theory and innovative pore-scale numerical simulations. Expected outcomes include a detailed knowledge of the multi-scale interactions between brittle geomaterials and ....Long-term chemically induced crumbling of unsaturated brittle geomaterials. This project will investigate the crumbling of geomaterials such as soil and rock by analysing the microscopic mechanisms controlling their deterioration in acidic water. The project will help predict weathering processes using an experimentally validated theory and innovative pore-scale numerical simulations. Expected outcomes include a detailed knowledge of the multi-scale interactions between brittle geomaterials and acidic water, leading to accurate forecasts of the long-term response of large-scale geotechnical structures. This project should provide significant benefits by improving soil management for mining remediation, increasing carbon dioxide storage efficiency, and preventing the deterioration of tailings dams.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101662
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Non-Oxidative and Scalable Electrochemical Production of Functional Graphene and its Nanohybrids. The lack of cost-effective and scalable graphene production methods is the current bottleneck that impedes the commercialisation of advanced graphene-based nanomaterials. Novel electrochemical production of those functional materials directly from bulk graphite not only holds the key to the solution but also provides a non-oxidative route for the production of highly conductive graphene which is wel ....Non-Oxidative and Scalable Electrochemical Production of Functional Graphene and its Nanohybrids. The lack of cost-effective and scalable graphene production methods is the current bottleneck that impedes the commercialisation of advanced graphene-based nanomaterials. Novel electrochemical production of those functional materials directly from bulk graphite not only holds the key to the solution but also provides a non-oxidative route for the production of highly conductive graphene which is well suited for applications such as biosensing, energy storage and conversion. Besides achieving scientific breakthroughs in graphene electrochemistry, this project will directly benefit many Australian socio-economic objectives, including manufacturing of Australia's natural resources into valuable energy related products.Read moreRead less
Subband centroids and deep neural networks for robust speech recognition. This project aims to improve the robustness and accuracy of automatic speech and speaker recognition systems. Though these systems work reasonably well in noise-free environments, their performance deteriorates drastically even in the presence of a small amount of noise. To overcome this problem, this project proposes a missing-feature approach for robust speech and speaker recognition. This approach is expected to make th ....Subband centroids and deep neural networks for robust speech recognition. This project aims to improve the robustness and accuracy of automatic speech and speaker recognition systems. Though these systems work reasonably well in noise-free environments, their performance deteriorates drastically even in the presence of a small amount of noise. To overcome this problem, this project proposes a missing-feature approach for robust speech and speaker recognition. This approach is expected to make the speech and speaker recognition systems less sensitive to additive background noise and make them more useful in telecommunications and business.Read moreRead less