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Research Topic : computational model
Socio-Economic Objective : Application packages
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  • Researchers (26)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0453236

    Funder
    Australian Research Council
    Funding Amount
    $180,000.00
    Summary
    Optimal Transforms of Random Vectors. This proposal focusses on development of optimal transforms to describe and model nonlinear phenomena when only statistical information is known. An optimal transform is a mathematical procedure that enables us to process information in a way that is most suited to the task in hand. These transforms have been successfully used in approximation, information theory, communications, control theory and signal and image processing. Applications include modelli .... Optimal Transforms of Random Vectors. This proposal focusses on development of optimal transforms to describe and model nonlinear phenomena when only statistical information is known. An optimal transform is a mathematical procedure that enables us to process information in a way that is most suited to the task in hand. These transforms have been successfully used in approximation, information theory, communications, control theory and signal and image processing. Applications include modelling of physical, chemical and biological systems, filtering and compression of signals and data classification and clustering. We propose two new hybrid models for realistic transforms in a general structural framework.
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    Funded Activity

    Discovery Projects - Grant ID: DP0984806

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Electron correlation models using morph operators and hybrid intracules. A new solution to the central problem in quantum chemistry will allow researchers in the chemical, pharmaceutical and materials sciences to predict the chemical behaviour of moderately large molecular systems with an accuracy and efficiency that has not previously been possible. The software that will result will enable cost and time savings in the design of advanced materials in the medical and agricultural contexts.
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    Funded Activity

    Discovery Projects - Grant ID: DP0557346

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Computational Methods for the Social Accounting of Teamwork. The cornerstone of the knowledge industries underlying the Australian economy is not just mechanical efficiency but also teamwork productivity. The increasing trend toward placing Australian employees nearer to their customers means that Australian companies face an even greater challenge in managing effective teamwork. This research examines the pragmatics and theoretical issues of developing computer-based systems that enable real-ti .... Computational Methods for the Social Accounting of Teamwork. The cornerstone of the knowledge industries underlying the Australian economy is not just mechanical efficiency but also teamwork productivity. The increasing trend toward placing Australian employees nearer to their customers means that Australian companies face an even greater challenge in managing effective teamwork. This research examines the pragmatics and theoretical issues of developing computer-based systems that enable real-time assessments of teamwork productivity. Automated assessments of how well relationships are progressing in teams will enable them to realise the same levels of productivity gains that automated workflow management has facilitated.
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    Funded Activity

    Discovery Projects - Grant ID: DP0664466

    Funder
    Australian Research Council
    Funding Amount
    $238,000.00
    Summary
    Development and implementation of efficient new models for electron correlation. The two new approaches will allow researchers in the chemical, pharmaceutical and materials sciences to predict the physical and chemical behaviour of moderately large molecular systems with an accuracy and efficiency that has not previously been possible. The software that will result will enable cost and time savings in the design of advanced materials in the medical and agricultural contexts.
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    Funded Activity

    Discovery Projects - Grant ID: DP0559113

    Funder
    Australian Research Council
    Funding Amount
    $255,000.00
    Summary
    HYBRID METHODS FOR SOLVING LARGE-SCALE OPTIMISATION PROBLEMS. Mathematical modelling and optimisation plays a crucial role in the advancement of modern business, science and technology. A significant benefit of this project is the development of a range of powerful computational tools for improving the productivity of Australian industry, including: agriculture; communications; defence; manufacturing; mining and petroleum; transport and logistics. These tools will be built upon advances in the f .... HYBRID METHODS FOR SOLVING LARGE-SCALE OPTIMISATION PROBLEMS. Mathematical modelling and optimisation plays a crucial role in the advancement of modern business, science and technology. A significant benefit of this project is the development of a range of powerful computational tools for improving the productivity of Australian industry, including: agriculture; communications; defence; manufacturing; mining and petroleum; transport and logistics. These tools will be built upon advances in the fundamental theory developed by the research team. The resulting high quality publications and associated algorithms will greatly enhance Australia's international scientific reputation and provide Australian industry with new cutting-edge optimisation technology.
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    Funded Activity

    Discovery Projects - Grant ID: DP0665946

    Funder
    Australian Research Council
    Funding Amount
    $605,760.00
    Summary
    Robust methods for hard optimization problems. Highly advanced industrial and information-based societies depend on complex systems that underpin their infrastructure and technologies. Mathematical modelling and optimization techniques are most frequently deployed for the development and refinement of these systems. This project focuses on an important class of difficult optimization problems that arise in many applications. A significant benefit of this project is the development of a number of .... Robust methods for hard optimization problems. Highly advanced industrial and information-based societies depend on complex systems that underpin their infrastructure and technologies. Mathematical modelling and optimization techniques are most frequently deployed for the development and refinement of these systems. This project focuses on an important class of difficult optimization problems that arise in many applications. A significant benefit of this project is the development of a number of robust methods for these hard optimization problems. These methods will be built upon advances in the fundamental theory developed by the research team. The resulting high quality publications and associated algorithms will greatly enhance Australia's international scientific reputation.
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    Funded Activity

    Discovery Projects - Grant ID: DP1093769

    Funder
    Australian Research Council
    Funding Amount
    $555,000.00
    Summary
    Computer Assisted Research Mathematics and its Applications. The mathematics community will benefit from infusion of new computer-assisted techniques and modalities for research and training post-graduate students, both from my pure research project and through development of an associated research centre. Ultimately, this should also help more school students learn mathematics well and so play a part in addressing Australia's skill shortage. Also, the work on optimization algorithms promises to .... Computer Assisted Research Mathematics and its Applications. The mathematics community will benefit from infusion of new computer-assisted techniques and modalities for research and training post-graduate students, both from my pure research project and through development of an associated research centre. Ultimately, this should also help more school students learn mathematics well and so play a part in addressing Australia's skill shortage. Also, the work on optimization algorithms promises to improve the performance and quality of many practical signal reconstruction methods. These are used by varied Australian industries from telecommunication to mining and by researchers in the digital arts and fields such as astronomy, physics, chemistry, bioscience, geoscience, engineering and medicine.
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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

    Linkage Projects - Grant ID: LP0454362

    Funder
    Australian Research Council
    Funding Amount
    $70,668.00
    Summary
    Application of Optimisation Techniques to the Truck/Loader Selection Problem in Mining. Australia has world class deposits of most major mineral commodities and is a major producer and exporter of coal and many metals. The mining industry has an annual turnover of around $40 billion. A significant component (up to 55%) of mining costs is material handling. This project aims to develop computational tools for determining the best selection of trucks and loaders for the mining operation. To da .... Application of Optimisation Techniques to the Truck/Loader Selection Problem in Mining. Australia has world class deposits of most major mineral commodities and is a major producer and exporter of coal and many metals. The mining industry has an annual turnover of around $40 billion. A significant component (up to 55%) of mining costs is material handling. This project aims to develop computational tools for determining the best selection of trucks and loaders for the mining operation. To date this important problem has not been addressed. Our strategy is to develop accurate mathematical models and cutting edge optimisation techniques for their solution. The research outcomes will have significant outcomes for the mining industry.
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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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