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Australian State/Territory : WA
Field of Research : Stochastic Analysis And Modelling
Research Topic : Flow Analysis
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  • Funded Activity

    Research Networks - Grant ID: RN0460246

    Funder
    Australian Research Council
    Funding Amount
    $1,750,000.00
    Summary
    ARC Financial Integrity Research Network. The integrity of the financial system is constantly under stress because of the development of ever more complex financial instruments, structures and strategies, and the associated research technologies that continues to accelerate worldwide. FIRN's vision is to harness the considerable strengths of Australia's internationally renowned finance, accounting and economics researchers into a research agenda to address issues concerning the integrity of the .... ARC Financial Integrity Research Network. The integrity of the financial system is constantly under stress because of the development of ever more complex financial instruments, structures and strategies, and the associated research technologies that continues to accelerate worldwide. FIRN's vision is to harness the considerable strengths of Australia's internationally renowned finance, accounting and economics researchers into a research agenda to address issues concerning the integrity of the financial system. It will enable Australian research in this area to match the scale and impact of similar research in other major international financial centres, and play an essential role in placing Australia among the world's leaders in financial markets related research.
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    Funded Activity

    Discovery Projects - Grant ID: DP0989007

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Efficient Algorithms for Multiple Object Filtering using Stochastic Geometry. The outcomes of this project will enhance our ability to harness advances in sensing and computing technologies and develop automated systems which facilitate rapid and reliable detection and monitoring of potential threats in our air, sea, and land space. Such systems assist our defence personnel in the event of a threat to implement measured and effective responses, and ultimately enhance Australia's operational adva .... Efficient Algorithms for Multiple Object Filtering using Stochastic Geometry. The outcomes of this project will enhance our ability to harness advances in sensing and computing technologies and develop automated systems which facilitate rapid and reliable detection and monitoring of potential threats in our air, sea, and land space. Such systems assist our defence personnel in the event of a threat to implement measured and effective responses, and ultimately enhance Australia's operational advantage, in line with the national research priority of 'Safeguarding Australia' and its associated priority goals. The developed technologies also have significant commercial potential which benefit Australian industries in areas such as robotics, automotive safety and biomedical engineering.
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    Funded Activity

    Discovery Projects - Grant ID: DP0878158

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Performance evaluation and characterisation for filtering in multi-object system. The project falls within the National Research Priority of 'Safeguarding Australia' and associated research priority goal of 'Transforming Defence Technology'. The project outcomes will provide cutting edge technology in surveillance, and monitoring of potential threat in our air, sea, and land space. Fast, reliable information enable our personnel to make timely, intelligent judgements, and appropriate responses i .... Performance evaluation and characterisation for filtering in multi-object system. The project falls within the National Research Priority of 'Safeguarding Australia' and associated research priority goal of 'Transforming Defence Technology'. The project outcomes will provide cutting edge technology in surveillance, and monitoring of potential threat in our air, sea, and land space. Fast, reliable information enable our personnel to make timely, intelligent judgements, and appropriate responses in the event of a threat, thereby maintaining Australia's operational advantage. Other application areas that benefits from our research include radar, sonar, guidance, navigation, air traffic control, image processing, oceanography, autonomous vehicles and robotics, remote sensing, and biomedical research.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0991854

    Funder
    Australian Research Council
    Funding Amount
    $788,800.00
    Summary
    Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and bi .... Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and biomedical research. The sensor network discipline also stand to benefit from the understanding of multi-object system and control framework.
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    Funded Activity

    Discovery Projects - Grant ID: DP0210572

    Funder
    Australian Research Council
    Funding Amount
    $175,000.00
    Summary
    Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes .... Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes will include the development of new theory in probability and statistics, the initiation and reinforcement of collaborative ties with major international research figures, and the fostering of contacts with the finance industry.
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    Funded Activity

    Discovery Projects - Grant ID: DP0346344

    Funder
    Australian Research Council
    Funding Amount
    $308,035.00
    Summary
    The astrophysical stochastic background of gravitational waves and detection by advanced high optical power interferometers: an Australia-US collaboration. The proposed project is designed to enable one of the most exciting and least studied components of the gravitational wave spectrum, the Astrophysical Gravitational wave Background (AGB), to be detected by Advanced LIGO. It will extend the Australia-US collaboration in Advanced LIGO to include modeling, simulation and detection methods of the .... The astrophysical stochastic background of gravitational waves and detection by advanced high optical power interferometers: an Australia-US collaboration. The proposed project is designed to enable one of the most exciting and least studied components of the gravitational wave spectrum, the Astrophysical Gravitational wave Background (AGB), to be detected by Advanced LIGO. It will extend the Australia-US collaboration in Advanced LIGO to include modeling, simulation and detection methods of the AGB and the study of the optical noise in LIGO and Advanced LIGO type systems. In particular we plan to search for anomalous noise sources and, especially those arising in high optical power cavities that could limit detection of the AGB.
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    Funded Activity

    Linkage Projects - Grant ID: LP0562337

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Automated On-Line Analysis and Contaminant Detection in Mineral Ore Processing. On-belt analysis is a key to efficient functioning of several industries involved in the mining and use of minerals. It provides chemical analysis of the minerals as they run through the instrument on a conveyer belt. It permits quality control and detection of impurities. The Scantech on-line analyser is at the forefront of this technology. Our aim is to produce novel techniques to significantly improve and m .... Automated On-Line Analysis and Contaminant Detection in Mineral Ore Processing. On-belt analysis is a key to efficient functioning of several industries involved in the mining and use of minerals. It provides chemical analysis of the minerals as they run through the instrument on a conveyer belt. It permits quality control and detection of impurities. The Scantech on-line analyser is at the forefront of this technology. Our aim is to produce novel techniques to significantly improve and make more efficient the processing of data from the analyser. A particular focus will be quicker and improved calibration of the instrument. These techniques will increase the accuracy and speed while reducing the costs of such analysers, thus retaining and enhancing their competitiveness in the global market.
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    Funded Activity

    Discovery Projects - Grant ID: DP0346115

    Funder
    Australian Research Council
    Funding Amount
    $146,000.00
    Summary
    The Influence of Fracture Network Topology on Fluid Flow in the Subsurface. This project focuses on developing methods for the simulation of fluid flow in fractured rock aquifers. Given the large computational requirements involved in modelling discretely fractured rock masses, scaling approaches are required to allow for simulation at field scales. The sensitivity of the scaling to the parameters describing the fracture network will be investigated. It is anticipated that the scaled function .... The Influence of Fracture Network Topology on Fluid Flow in the Subsurface. This project focuses on developing methods for the simulation of fluid flow in fractured rock aquifers. Given the large computational requirements involved in modelling discretely fractured rock masses, scaling approaches are required to allow for simulation at field scales. The sensitivity of the scaling to the parameters describing the fracture network will be investigated. It is anticipated that the scaled functional relationships will be quite network specific, and that the identification of the controls on the form of the scaling relationships will allow for the focussing of data acquisition to the most salient information, and will reduce the costs involved.
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