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Scheme : Discovery Projects
Research Topic : Image reconstruction
Socio-Economic Objective : Other
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  • Researchers (78)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0557157

    Funder
    Australian Research Council
    Funding Amount
    $293,000.00
    Summary
    A New Approach to Studying Whole Bodies and Body Parts Applied to Problems of Forensic Science. To bring to the study of whole humans and human body parts, new methods capable of major advances such as those already provided by DNA technology in the study of human tissues, cells and molecules. This will allow better identification of human groups, geographic populations, gender differences and ageing. To update facilities in forensic sciences strengthening Australian security systems thus he .... A New Approach to Studying Whole Bodies and Body Parts Applied to Problems of Forensic Science. To bring to the study of whole humans and human body parts, new methods capable of major advances such as those already provided by DNA technology in the study of human tissues, cells and molecules. This will allow better identification of human groups, geographic populations, gender differences and ageing. To update facilities in forensic sciences strengthening Australian security systems thus helping fight terrorism and crime. To establish international collaborations for Australia, especially with Asia. To train young people, through Master's and Doctoral degrees programmes, in handling the new techniques and applying them to problems of forensic science
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    Funded Activity

    Discovery Projects - Grant ID: DP0211409

    Funder
    Australian Research Council
    Funding Amount
    $195,118.00
    Summary
    Improving optical data storage and micromachining technology through better modelling and characterisation of their laser beams. The laser sources generally do not have simple (Gaussian) distributions. The applicant has recently developed a model, describing free propagation of complex (non-Gaussian) laser beams. This project seeks to develop a comprehending model for laser beams propagation through complex optical systems. The effects of various optical elements will be defined employing a no .... Improving optical data storage and micromachining technology through better modelling and characterisation of their laser beams. The laser sources generally do not have simple (Gaussian) distributions. The applicant has recently developed a model, describing free propagation of complex (non-Gaussian) laser beams. This project seeks to develop a comprehending model for laser beams propagation through complex optical systems. The effects of various optical elements will be defined employing a novel method known as SAFE (Stable Aggregate of Flexible Elements) which is a compromise between geometrical and physical optics. Applying this model to micromachining and optical data storage (ODS), which need high beam quality (low divergence and good focussibility), enable accurate predictive capability critical to the optimisation of micromachining and ODS designs.
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    Funded Activity

    Discovery Projects - Grant ID: DP0450191

    Funder
    Australian Research Council
    Funding Amount
    $257,466.00
    Summary
    Management of Complex Assets Using Smart Information Systems. The aim is to develop an integrative framework and a smart system for holistic asset management in order to manage and optimise asset decisions vis-a-vis shifts in customer and market needs. It will develop an advanced conceptual framework, a dedicated smart system that is capable of handling uncertainty often associated with decision making in large complex operations. The benefits of this research are: a more competitive indusry wit .... Management of Complex Assets Using Smart Information Systems. The aim is to develop an integrative framework and a smart system for holistic asset management in order to manage and optimise asset decisions vis-a-vis shifts in customer and market needs. It will develop an advanced conceptual framework, a dedicated smart system that is capable of handling uncertainty often associated with decision making in large complex operations. The benefits of this research are: a more competitive indusry with focus on markets; a smart system to demonstrate business-based decision making and generally a much more sophisticated approach to asset management.
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    Funded Activity

    Discovery Projects - Grant ID: DP0774054

    Funder
    Australian Research Council
    Funding Amount
    $263,993.00
    Summary
    Unifying Modern Approaches in Machine Learning. The proposed research will lead to better algorithms for some important machine learning problems that could lead to better tools for extracting useful knowledge from data such as in bioinformatics and sensor networks; it will strengthen an international collaboration with one of the world's top centres of machine learning research; it will contribute to an open source toolkit of machine learning algorithms which will put Australia on the map as a .... Unifying Modern Approaches in Machine Learning. The proposed research will lead to better algorithms for some important machine learning problems that could lead to better tools for extracting useful knowledge from data such as in bioinformatics and sensor networks; it will strengthen an international collaboration with one of the world's top centres of machine learning research; it will contribute to an open source toolkit of machine learning algorithms which will put Australia on the map as a provider of sophisticated machine learning software; it will provide training opportunities for several PhD students and a postdoc to work with some of the best machine learning researchers in the world.
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    Funded Activity

    Discovery Projects - Grant ID: DP0560207

    Funder
    Australian Research Council
    Funding Amount
    $232,000.00
    Summary
    Teaching Software Agents to Play. This project is fundamental to computational intelligence and human brain science. Both strongly impact on the community and the nation. They form the backbone of contemporary information science and are key to our National Research Priorities. This research is of great community benefit. Our results will enable everyone to rapidly search, analyse and interpret vast amounts of information that is irretrievable by current methods. They will also enliven interacti .... Teaching Software Agents to Play. This project is fundamental to computational intelligence and human brain science. Both strongly impact on the community and the nation. They form the backbone of contemporary information science and are key to our National Research Priorities. This research is of great community benefit. Our results will enable everyone to rapidly search, analyse and interpret vast amounts of information that is irretrievable by current methods. They will also enliven interactive entertainment by spontaneously creating unique, tailor-made music. In sum, we are making a leap forward in the crucial area of collaborative intelligence.
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    Funded Activity

    Discovery Projects - Grant ID: DP0211847

    Funder
    Australian Research Council
    Funding Amount
    $203,000.00
    Summary
    The Physics of Network Computation. This project combines expertise in nonlinear soliton physics and computational sciences in order to provide new insights into the physics of network computation. Our proposal addresses the mathematics and computer modelling underlying nonconscious problem solving. We develop a new template concept, the meta-mode, which embodies the network structure of knowledge and the linking mechanisms, which underpin human creativity. We establish the optimal connectiv .... The Physics of Network Computation. This project combines expertise in nonlinear soliton physics and computational sciences in order to provide new insights into the physics of network computation. Our proposal addresses the mathematics and computer modelling underlying nonconscious problem solving. We develop a new template concept, the meta-mode, which embodies the network structure of knowledge and the linking mechanisms, which underpin human creativity. We establish the optimal connectivity distributions to preserve distinct pattern classes yet allow model radical shifts in paradigms, and develop algorithms for autonomous connectivity optimisation. We investigate nonlinear process such as solitons and random Boolean networks as realisations of these principles.
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