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Research Topic : VASCULAR CONTROL
Australian State/Territory : VIC
Field of Research : Optimisation
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  • Researchers (14)
  • Funded Activities (10)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0666061

    Funder
    Australian Research Council
    Funding Amount
    $466,200.00
    Summary
    Derivative free algorithms for large scale nonsmooth and global optimization and their applications. The outcomes expected from this research fall broadly into two categories: 1) the development of a new class of effective readily implementable derivative free techniques for large scale non-smooth and global optimisation and 2) the development of new algorithms based on derivative free optimization techniques for solving data mining, resource allocation problems and some problems in bioinformati .... Derivative free algorithms for large scale nonsmooth and global optimization and their applications. The outcomes expected from this research fall broadly into two categories: 1) the development of a new class of effective readily implementable derivative free techniques for large scale non-smooth and global optimisation and 2) the development of new algorithms based on derivative free optimization techniques for solving data mining, resource allocation problems and some problems in bioinformatics. In particular, the application of these techniques to molecular biology and cluster analysis will be very important for the development of competitive technologies for Australia.
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    Funded Activity

    Discovery Projects - Grant ID: DP0344039

    Funder
    Australian Research Council
    Funding Amount
    $193,035.00
    Summary
    Approximate bundle methods in nonsmooth optimisation and their applications in some complex systems. Non-smooth and non-convex optimisation has many applications in industry and science. One of the powerful methods in non-smooth optimisation is a bundle method. This project will develop new versions of the bundle method by using continuous approximations to the sub-differential and extend this method for solving non-convex (smooth and non-smooth) optimisation problems by using max-min of linear .... Approximate bundle methods in nonsmooth optimisation and their applications in some complex systems. Non-smooth and non-convex optimisation has many applications in industry and science. One of the powerful methods in non-smooth optimisation is a bundle method. This project will develop new versions of the bundle method by using continuous approximations to the sub-differential and extend this method for solving non-convex (smooth and non-smooth) optimisation problems by using max-min of linear functions for the approximation of the functions involved. The outcome will be a new class of effective readily implementable algorithms for the minimization of non-smooth and non-convex functions, whose usefulness will be demonstrated by applications in cluster analysis, biochemistry and robotics.
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    Funded Activity

    Discovery Projects - Grant ID: DP0878269

    Funder
    Australian Research Council
    Funding Amount
    $763,000.00
    Summary
    Information Geometry and Compressive Sensing for Radar and Communications. Australia's vast distances, thin population and extensive sea approaches force us to place heavy reliance on telecommunications and the remote sensing that radar and other modalities can provide. This project will enchance capabilities in sensing to provide more reliable, robust and cost effective communications and surveillance over a wide area.
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    Funded Activity

    Linkage Projects - Grant ID: LP110200025

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Optimal design of controlled aerodynamic bodies: from concept to prototype. This interdisciplinary project will deliver technological advances in the areas of fluid dynamics, control systems and optimisation. It utilises advanced knowledge in these areas to design manoeuvrable aerodynamic bodies and will have a direct effect on Australian defence capability.
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    Funded Activity

    Linkage Projects - Grant ID: LP0882276

    Funder
    Australian Research Council
    Funding Amount
    $153,762.00
    Summary
    Robust Optimal Asset Liability Management via Stochastic Control Theory. The Australian federal and state governments are strongly exposed to the Australian and international investment markets, either directly or through entities such as the Future Fund, state-owned insurers and superannuation schemes. Additionally, the investment pool represented by individual Australian's superannuation savings managed by non-government organisations is significant. Robust and effective management of these .... Robust Optimal Asset Liability Management via Stochastic Control Theory. The Australian federal and state governments are strongly exposed to the Australian and international investment markets, either directly or through entities such as the Future Fund, state-owned insurers and superannuation schemes. Additionally, the investment pool represented by individual Australian's superannuation savings managed by non-government organisations is significant. Robust and effective management of these assets in order to meet future liabilities of these funds are essential to a stable Australian economy. This research has the potential to be a key component of reliable investment management, helping make Australia an important investment hub.
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    Funded Activity

    Discovery Projects - Grant ID: DP0988685

    Funder
    Australian Research Council
    Funding Amount
    $225,000.00
    Summary
    Control of Markov jumping processes with constraints. The project outcomes will constitute the set of tools for modelling and optimisation of complex stochastic systems and will lead to new and more precise characterisations of optimal behaviour of complex controllable systems arising in Resource Management, Engineering and Telecommunications. Therefore, the project fits to the research priority areas Breakthrough Science and Frontier Technologies in the topic of mathematical modelling and optim .... Control of Markov jumping processes with constraints. The project outcomes will constitute the set of tools for modelling and optimisation of complex stochastic systems and will lead to new and more precise characterisations of optimal behaviour of complex controllable systems arising in Resource Management, Engineering and Telecommunications. Therefore, the project fits to the research priority areas Breakthrough Science and Frontier Technologies in the topic of mathematical modelling and optimisation of Complex Systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP0985322

    Funder
    Australian Research Council
    Funding Amount
    $635,000.00
    Summary
    Efficient and Fair Traffic Control for a Multi-Service Internet. Australia relies very heavily on its telecommunications infrastructure due to its geographic dispersion. For the same reason, it cannot afford to invest in inefficient infrastructure. Our novel and practical Internet congestion control scheme will overcome current weaknesses in the Internet, and will enable the Australian telecommunication service industry to provide a better quality of service to the customers (including Aust .... Efficient and Fair Traffic Control for a Multi-Service Internet. Australia relies very heavily on its telecommunications infrastructure due to its geographic dispersion. For the same reason, it cannot afford to invest in inefficient infrastructure. Our novel and practical Internet congestion control scheme will overcome current weaknesses in the Internet, and will enable the Australian telecommunication service industry to provide a better quality of service to the customers (including Australian industries and rural communities) and at lower cost. This project will put Australia on the international stage as a leading contributor to Internet technology. We will provide training for PhD students and postdoctoral fellows in the important area of Internet traffic engineering and control.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP160100854

    Funder
    Australian Research Council
    Funding Amount
    $199,215.00
    Summary
    Stability of Generalised Equations and Variational Systems. This project seeks to advance a new mathematical theory of variational analysis which may lead to applications in optimisation. The emphasis will be on extensions of regularity concepts appropriate for studying stability (the ‘radius of good behaviour’) of solutions to optimisation problems, particularly those of semi-infinite optimisation and programs with equilibrium constraints, when standard assumptions are not satisfied. The expect .... Stability of Generalised Equations and Variational Systems. This project seeks to advance a new mathematical theory of variational analysis which may lead to applications in optimisation. The emphasis will be on extensions of regularity concepts appropriate for studying stability (the ‘radius of good behaviour’) of solutions to optimisation problems, particularly those of semi-infinite optimisation and programs with equilibrium constraints, when standard assumptions are not satisfied. The expected outcomes may have an impact in enhancing the convergence of numerical methods and facilitating the post-optimal analysis of solutions. It may also generate new tools for increasing efficiencies and cost reductions in engineering, logistics, economics, financial systems, and environmental science.
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    Funded Activity

    Discovery Projects - Grant ID: DP120100567

    Funder
    Australian Research Council
    Funding Amount
    $390,000.00
    Summary
    Structured barrier and penalty functions in infinite dimensional optimisation and analysis. Very large scale tightly-constrained optimisation problems are ubiquitous and include water management, traffic flow, and imaging at telescopes and hospitals. Massively parallel computers can solve such problems and provide physically realisable solution only if subtle design issues are mastered. Resolving such issues is the goal of this project.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT100100538

    Funder
    Australian Research Council
    Funding Amount
    $700,590.00
    Summary
    Low emission road transportation: harnessing the potential of alternative fuels and advanced vehicle technologies through online optimisation. This project will develop fundamental mathematical theory and use it to enable the best possible CO2 reduction capability in road vehicles. The cost of different technologies and fuels will then be compared to determine the most cost effective approaches to reduce road transport emissions.
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    Showing 1-10 of 10 Funded Activites

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