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Research Topic : Simulation
Scheme : Linkage Projects
Field of Research : Software Engineering
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  • Researchers (33)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0774944

    Funder
    Australian Research Council
    Funding Amount
    $480,000.00
    Summary
    Intelligent Collaborative Care Management. The project will provide the basis for new models of consumer care in both social and commercial settings. In a commercial setting, customer care means looking after the customer, with the hope of retaining their business. By developing a formal model of evidence-based care, together with the information technologies to implement this model, the project will result in higher quality, safer, more efficient and more effective care. This will produce si .... Intelligent Collaborative Care Management. The project will provide the basis for new models of consumer care in both social and commercial settings. In a commercial setting, customer care means looking after the customer, with the hope of retaining their business. By developing a formal model of evidence-based care, together with the information technologies to implement this model, the project will result in higher quality, safer, more efficient and more effective care. This will produce significant economic and social benefits for Australia across a wide range of service industries. The project will also generate export opportunities for information technology services and products in health care and other service industries. In addition, it will drive collaboration with leading global businesses, providing new paths to market for Australian research, technologies and innovations.
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    Funded Activity

    Linkage Projects - Grant ID: LP0230324

    Funder
    Australian Research Council
    Funding Amount
    $67,635.00
    Summary
    Coding Error Isolation in Computerised Simulation Models with Application to Wastewater Treatment Systems. Simulation code verification through program testing and debugging is crucially important, but is tedious and often difficult. A novel approach will be studied in this project. The approach involves detecting coding errors through back-to-back testing using two independently implemented versions of a given mathematical model, and isolating the coding errors through systematically analysing .... Coding Error Isolation in Computerised Simulation Models with Application to Wastewater Treatment Systems. Simulation code verification through program testing and debugging is crucially important, but is tedious and often difficult. A novel approach will be studied in this project. The approach involves detecting coding errors through back-to-back testing using two independently implemented versions of a given mathematical model, and isolating the coding errors through systematically analysing the test error signal generated (the difference between the outputs of the two models). This is possible because one of the two versions is implemented in such a way that the test error carries an easily identifiable feature. This project could revolutionize the area of model verification.
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    Funded Activity

    Linkage Projects - Grant ID: LP100100588

    Funder
    Australian Research Council
    Funding Amount
    $805,000.00
    Summary
    Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform th .... Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform the outcomes of this project into widely-used software solutions. The project will pave the way for more widespread and reliable evidenced-based computer-aided diagnosis and image-guided treatment. It will produce well-trained and sought-after graduates and research associates with extensive inter-disciplinary knowledge of medical image analysis and high-performance computing.
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