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Field of Research : Analysis Of Algorithms And Complexity
Research Topic : Logic
Australian State/Territory : NSW
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Analysis Of Algorithms And Complexity (5)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0344762

    Funder
    Australian Research Council
    Funding Amount
    $165,000.00
    Summary
    Parameterized Algorithm Design and Complexity Analysis: New Methods and Strategic Applications in the FPT Algorithmic Server Project. A fundamental discovery of the first decades of computer science is that completely efficient (polynomial time) algorithms probably do not exist for thousands of natural computational problems. The project will result in new methods for designing and analyzing algorithms for hard problems with natural parameters, and in improved algorithms for these problems.
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    Funded Activity

    Linkage Projects - Grant ID: LP0883646

    Funder
    Australian Research Council
    Funding Amount
    $120,488.00
    Summary
    Developing Sophisticated e-Business Automation. This project will provide theoretical foundations and a practical platform for developing advanced e-business automation technology. As such, it will significantly enhance Australia's leading role in the cutting edge research on e-business automation. By applying the new methodology and technology, Australian IT industries will be able to develop highly efficient e-market application systems, which will be financially beneficial to most organizatio .... Developing Sophisticated e-Business Automation. This project will provide theoretical foundations and a practical platform for developing advanced e-business automation technology. As such, it will significantly enhance Australia's leading role in the cutting edge research on e-business automation. By applying the new methodology and technology, Australian IT industries will be able to develop highly efficient e-market application systems, which will be financially beneficial to most organizations as Australia business and institutions are moving towards a more electronically oriented future. With a strong research team and collaborative research training environment, this project will further promote Australia's international reputation as a leader in Computing and IT research.
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    Funded Activity

    Discovery Projects - Grant ID: DP0559755

    Funder
    Australian Research Council
    Funding Amount
    $218,000.00
    Summary
    Evolutionary algorithms for problems in functional genomics data analysis. Skin cancer has a high incidence in the Australian population. Schizophrenia is a psychiatric disorder that affects a significant proportion of the population worldwide. Both illnesses have genetic roots and can be triggered by environmental factors. We will uncover genetic relationship to disease and their responses to environmental conditions using computational methods and mathematical algorithms that can aid in the de .... Evolutionary algorithms for problems in functional genomics data analysis. Skin cancer has a high incidence in the Australian population. Schizophrenia is a psychiatric disorder that affects a significant proportion of the population worldwide. Both illnesses have genetic roots and can be triggered by environmental factors. We will uncover genetic relationship to disease and their responses to environmental conditions using computational methods and mathematical algorithms that can aid in the determination of function, especially in disease states. Understanding the complex genetic interactions that trigger these illnesses would give great benefits in preventive health care, skin cancer and schizophrenia genetic basis, and may lay the ground for building new methods for "personalized medicine".
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    Funded Activity

    Discovery Projects - Grant ID: DP0559592

    Funder
    Australian Research Council
    Funding Amount
    $284,000.00
    Summary
    Knowledge Based Model Updating for the Correctness of Security Protocols. This project will fundamentally provide a new paradigm of the security protocol verification and modification. As such, it will significantly enhance Australia's already leading role in the cutting edge research on information security. By applying the new methodology and technology, Australian IT industry will be able to develop more secure communication systems in real world domains. With a very strong research team acro .... Knowledge Based Model Updating for the Correctness of Security Protocols. This project will fundamentally provide a new paradigm of the security protocol verification and modification. As such, it will significantly enhance Australia's already leading role in the cutting edge research on information security. By applying the new methodology and technology, Australian IT industry will be able to develop more secure communication systems in real world domains. With a very strong research team across different areas such as knowledge reasoning, temporal logics and information security, and a collaborative research training environment, this project will further enhance Australia's international reputation as a leader in computing and IT research.
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    Funded Activity

    Discovery Projects - Grant ID: DP0773279

    Funder
    Australian Research Council
    Funding Amount
    $238,291.00
    Summary
    Application of novel exact combinatorial optimisation techniques and metaheuristic methods for problems in cancer research. Novel biotechnologies are offering an unprecedented opportunity to understand the genetic basis of cancer development and progression. However, they present us with a challenge; new computational methods and improved mathematical models and algorithms need to be introduced to complement these technologies in the determination of the function of our individual genetic makeup .... Application of novel exact combinatorial optimisation techniques and metaheuristic methods for problems in cancer research. Novel biotechnologies are offering an unprecedented opportunity to understand the genetic basis of cancer development and progression. However, they present us with a challenge; new computational methods and improved mathematical models and algorithms need to be introduced to complement these technologies in the determination of the function of our individual genetic makeup, especially in connection with disease states. The project will deal with research questions and datasets related to some of the highest incidence cancers in Australia. This project will contribute towards the development of new powerful algorithms for pattern recognition for future "personalized" molecular diagnostics methods.
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