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Research Topic : DISEASE MODELLING
Australian State/Territory : ACT
Australian State/Territory : NSW
Field of Research : Optimisation
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Optimisation (4)
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  • Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0346878

    Funder
    Australian Research Council
    Funding Amount
    $190,000.00
    Summary
    GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving complex data inference problems in the Earth sciences, and in particular the fields of thermochronology, seismology, crustal and mantle dynamics, and landform evolution. A Beowulf cluster is a network-linked set of commonly available `off-the-shelf' PC-computers configured to give unprecedented performance/cost ratio. Projects using the Beowulf facility will combine .... GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving complex data inference problems in the Earth sciences, and in particular the fields of thermochronology, seismology, crustal and mantle dynamics, and landform evolution. A Beowulf cluster is a network-linked set of commonly available `off-the-shelf' PC-computers configured to give unprecedented performance/cost ratio. Projects using the Beowulf facility will combine state-of-the-art computational techniques recently developed at ANU, and high quality data sets collected over the past decade to address fundamental questions in the Geosciences.
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    Funded Activity

    Discovery Projects - Grant ID: DP160103489

    Funder
    Australian Research Council
    Funding Amount
    $343,700.00
    Summary
    Frontiers in inference about risk. The project aims to develop new methods for robust risk evaluation and minimisation under various constraints and scenarios. Risk evaluation, estimation and prediction using past data is a central activity in diverse areas such as finance, insurance, superannuation and environmental regulation. The project aims to propose and solve innovatively robust risk optimisation problems under constraints, taking into account the time dynamics. Applications include risk .... Frontiers in inference about risk. The project aims to develop new methods for robust risk evaluation and minimisation under various constraints and scenarios. Risk evaluation, estimation and prediction using past data is a central activity in diverse areas such as finance, insurance, superannuation and environmental regulation. The project aims to propose and solve innovatively robust risk optimisation problems under constraints, taking into account the time dynamics. Applications include risk management around natural catastrophes and long-term asset investment of pension funds. The solutions and outcomes are expected to deliver optimal resource allocation proposals and better management of risk exposure in practice.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100174

    Funder
    Australian Research Council
    Funding Amount
    $710,000.00
    Summary
    Optimising seasonal decisions for environmental water use. This project will develop a tool to optimise the use of environmental water, drawing on seasonal forecasts of streamflow and water price, and predicted ecological responses to changing flows. This tool will strengthen the effectiveness of the government organisations responsible for managing Australia's environmental water reserves.
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    Active Funded Activity

    Industrial Transformation Training Centres - Grant ID: IC200100009

    Funder
    Australian Research Council
    Funding Amount
    $4,861,236.00
    Summary
    ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdiscip .... ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdisciplinary researchers and talented students, OPTIMA will advance an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, vanguarding a highly skilled workforce of change agents for transformation of the advanced manufacturing, energy resources, and critical infrastructure sectors.
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    Showing 1-4 of 4 Funded Activites

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