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

    Discovery Projects - Grant ID: DP0985177

    Funder
    Australian Research Council
    Funding Amount
    $720,000.00
    Summary
    Improved Monte Carlo Methods for Estimation, Optimisation and Counting. The project will benefit the Australian society by building the theoretical and methodological foundations for the next generation of Monte Carlo techniques. The advancement of the knowledge in this area will provide important tools for solving complex estimation, optimisation and counting problems in engineering, statistics, computer science, mathematics and the physical and life sciences. As a result it will generate a com .... Improved Monte Carlo Methods for Estimation, Optimisation and Counting. The project will benefit the Australian society by building the theoretical and methodological foundations for the next generation of Monte Carlo techniques. The advancement of the knowledge in this area will provide important tools for solving complex estimation, optimisation and counting problems in engineering, statistics, computer science, mathematics and the physical and life sciences. As a result it will generate a competitive advantage for various sections of the Australian industry, including telecommunications, biotechnology and finance. The project will enable Australian researchers to continue to work at the forefront of this fast moving and exciting area of international research.
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    Funded Activity

    Federation Fellowships - Grant ID: FF0348537

    Funder
    Australian Research Council
    Funding Amount
    $1,450,370.00
    Summary
    Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in .... Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will explore these roles and will develop an integrated complex systems modelling, simulation and visualisation framework. This will be used on an exemplar application for lineage commitment in haematopoiesis and for exploring and validating genetic regulatory models in general.
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    Funded Activity

    Discovery Projects - Grant ID: DP0451696

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will ex .... Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will explore these roles and will develop an integrated complex systems modelling, simulation and visualisation framework for exploring and validating genetic regulatory models in general. This will be used on an exemplar application for understanding the induction process in lambda phage.
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    Funded Activity

    Linkage Projects - Grant ID: LP0991159

    Funder
    Australian Research Council
    Funding Amount
    $90,000.00
    Summary
    Assessing Oceanic and Tidal Forecast Data For Search and Rescue Purposes. Locating people lost and adrift at sea requires costly resources (aircraft, ships and rescuers) and accurate planning. Rescuers also require estimates of where currents will take them. Australian marine Search and Rescue (SAR) planning uses infrequent (typically once a week) satellite measurements of ocean currents to estimate drift patterns of people at sea. Recently developed ocean forecast models will potentially help .... Assessing Oceanic and Tidal Forecast Data For Search and Rescue Purposes. Locating people lost and adrift at sea requires costly resources (aircraft, ships and rescuers) and accurate planning. Rescuers also require estimates of where currents will take them. Australian marine Search and Rescue (SAR) planning uses infrequent (typically once a week) satellite measurements of ocean currents to estimate drift patterns of people at sea. Recently developed ocean forecast models will potentially help forecast currents between the satellite observations, but are unproven for SAR use at this time and do not include tidal influences. This research project will develop measures of reliability and accuracy of using Ocean Forecasts that include tide forecasts for improving SAR planning outcomes in Australian waters.
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    Showing 1-4 of 4 Funded Activites

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