Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particl ....Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particle clustering. Computational modelling and experimental investigations will be undertaken to identify the heat transfer mechanisms of various nanofluids. The outcomes of the work will increase knowledge on nanofluids and offer a significant opportunity to improve the efficiency of many thermal engineering systems.Read moreRead less
Unpacking the immune system with applied mathematics. This project aims to model immune interactions across cells and structures spanning scales of nanometres to millimetres. It expects to develop innovative mathematical insights, improve our understanding of immunology, and consolidate collaborations with top American and European laboratories and groups. Expected outcomes include cutting-edge techniques for multiscale biological modelling and improved prediction and analysis of immune dynami ....Unpacking the immune system with applied mathematics. This project aims to model immune interactions across cells and structures spanning scales of nanometres to millimetres. It expects to develop innovative mathematical insights, improve our understanding of immunology, and consolidate collaborations with top American and European laboratories and groups. Expected outcomes include cutting-edge techniques for multiscale biological modelling and improved prediction and analysis of immune dynamics. The project should provide benefits to industries where highly organised behaviours are important, for example those interested in robot swarming, optimal transportation, and epidemic management. It should also benefit Australian students and researchers with novel overseas training opportunities.Read moreRead less
Fractional dynamic models for MRI to probe tissue microstructure. This project aims to develop new mathematical tools for mapping tissue microstructural properties via the use of space-time fractional calculus methods. In magnetic resonance imaging, mathematical models and their parameters play a key role in associating information between images and biology, with the overall aim of producing spatially resolved maps of tissue property variations. However, models which can inform on changes in mi ....Fractional dynamic models for MRI to probe tissue microstructure. This project aims to develop new mathematical tools for mapping tissue microstructural properties via the use of space-time fractional calculus methods. In magnetic resonance imaging, mathematical models and their parameters play a key role in associating information between images and biology, with the overall aim of producing spatially resolved maps of tissue property variations. However, models which can inform on changes in microscale tissue properties are lacking. The tools developed by this project will be used to generate new magnetic resonance image based maps to convey information on tissue microstructure changes in the human brain. Additionally, the mathematical tools developed will be transferable to other applications where diffusion and transport in heterogeneous porous media play a role.Read moreRead less
The recirculation of myeloid dendritic cells. This project aims to understand dendritic cell recirculation. It will use virological tools to track dendritic cell migration, and identify key decision points. Expected outcomes include enhanced capacity in basic research and greater interdisciplinary collaboration between virology and immunology research groups. Significant benefits will include a new understanding of how G protein coupled receptor signalling and other tissue cues guide dendritic c ....The recirculation of myeloid dendritic cells. This project aims to understand dendritic cell recirculation. It will use virological tools to track dendritic cell migration, and identify key decision points. Expected outcomes include enhanced capacity in basic research and greater interdisciplinary collaboration between virology and immunology research groups. Significant benefits will include a new understanding of how G protein coupled receptor signalling and other tissue cues guide dendritic cell recirculation, and what consequences the recirculation has for immune cell function. This understanding will significantly advance our basic understanding of the immune system.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100032
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
Advanced Multifunctional Electro-Opto-Magneto-Mechanical Analysis Platform. This project aims to build an advanced multi-functional Electro-Opto-Magneto-Mechanical analysis platform for characterizing nanomaterials and micro-/nano-scale devices. This platform expects to provide rich and unique characterization capabilities (electrical, optical, magnetic and mechanical) for hybrid devices with low temperature and high vacuum environment. The expected outcomes include multidisciplinary research co ....Advanced Multifunctional Electro-Opto-Magneto-Mechanical Analysis Platform. This project aims to build an advanced multi-functional Electro-Opto-Magneto-Mechanical analysis platform for characterizing nanomaterials and micro-/nano-scale devices. This platform expects to provide rich and unique characterization capabilities (electrical, optical, magnetic and mechanical) for hybrid devices with low temperature and high vacuum environment. The expected outcomes include multidisciplinary research collaborations and a wide range of next-generation technologies including non-invasive medical instruments, wearable devices, communication, quantum information systems and energy storage solutions. This should enable local design and construction of hybrid devices and advance the growth of local high-technology industries.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101118
Funder
Australian Research Council
Funding Amount
$339,000.00
Summary
High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields i ....High performance density-based clustering in parallel environments. This project aims to conduct a comprehensive study on density-based clustering to improve data management in parallel computing environments. Clustering, a fundamental task in data management, is to group a set of objects such that objects in the same group (called a cluster) are more similar to each other than those in other groups in order to simplify retrieval of similar information. Clustering is widely used in many fields including machine learning, pattern recognition, information retrieval, bioinformatics and image analysis. It is expected that the developed clustering techniques will provide significant performance improvements in industry sectors where decisions are made based on clustering data analytics, such as the sectors of finance, renewable energy and artificial intelligence.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH220100002
Funder
Australian Research Council
Funding Amount
$4,999,700.00
Summary
ARC Research Hub for Fire Resilience Infrastructure, Assets and Safety Advancements (FRIASA) in Urban, Resources, Energy and Renewables Sectors . This Hub aims to develop, manufacture and deploy next generation technologies and solutions that will protect Australia’s critical infrastructure and assets against major natural and man-made fires. The Hub expects to position Australia as a powerhouse of fire readiness by developing end-to-end integrated systems of advanced engineering and digital te ....ARC Research Hub for Fire Resilience Infrastructure, Assets and Safety Advancements (FRIASA) in Urban, Resources, Energy and Renewables Sectors . This Hub aims to develop, manufacture and deploy next generation technologies and solutions that will protect Australia’s critical infrastructure and assets against major natural and man-made fires. The Hub expects to position Australia as a powerhouse of fire readiness by developing end-to-end integrated systems of advanced engineering and digital technologies which will allow industry to improve fire safety training and operations with significant benefits. Expected outcomes include advanced manufacturing capacity for fire resilience and sustainable products, strategic partnerships and commercialisation pathways and opportunities by translating R&D into economic benefits such as jobs and new exports for local and international markets.Read moreRead less
Framing and Enabling Children’s Active Play using Novel Technology. This project aims to address inactivity in the 3-5 age group through understanding and exploring innovative interactive active play experiences for children, with a view to increasing their physical activity over the long term. This project will be based on empirical research with real children undertaking real interactive experiences in real contexts, in order to understand issues around sustained engagement with these types of ....Framing and Enabling Children’s Active Play using Novel Technology. This project aims to address inactivity in the 3-5 age group through understanding and exploring innovative interactive active play experiences for children, with a view to increasing their physical activity over the long term. This project will be based on empirical research with real children undertaking real interactive experiences in real contexts, in order to understand issues around sustained engagement with these types of systems. We will design and develop solutions that may address the issues and test those interventions in a longitudinal manner. The outcome will be a framework which can be applied in a variety of situations and modalities by designers and developers of such systems, and feed into childhood technology guidelines.
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A new universal mechanism controlling body proportions in animals. This project aims to establish that a recently-discovered mechanism, the inhibitory cascade, determines the basic proportions of appendages and body segments in a diverse range of animal groups, particularly vertebrates and arthropods. The goals of the project are to reveal the molecular mechanisms in mice and insects, and build computer simulations to show how to manipulate the control of development by the inhibitory cascade. T ....A new universal mechanism controlling body proportions in animals. This project aims to establish that a recently-discovered mechanism, the inhibitory cascade, determines the basic proportions of appendages and body segments in a diverse range of animal groups, particularly vertebrates and arthropods. The goals of the project are to reveal the molecular mechanisms in mice and insects, and build computer simulations to show how to manipulate the control of development by the inhibitory cascade. The project should benefit bioengineering by establishing control mechanisms for the manipulation and regeneration of teeth and limbs.Read moreRead less
Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering bus ....Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering business operations towards consistent and compliant outcomes and higher performance, and assist analysts and auditors to explain deviant operations. This should significantly benefit industries such as healthcare, insurance, retail and the government where compliance and integrity management are imperative.Read moreRead less