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Australian State/Territory : QLD
Research Topic : Image processing
Status : Active
Field of Research : Image processing
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  • Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE230100477

    Funder
    Australian Research Council
    Funding Amount
    $421,554.00
    Summary
    Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and .... Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and protect privacy in AI applications. The anticipated outcomes should provide significant benefits to a wide range of applications, such as providing timely alerts to the media, government organisations, and the industry about misleading fake visual data, and preventing financial crimes on synthetic identity fraud.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE230100972

    Funder
    Australian Research Council
    Funding Amount
    $382,462.00
    Summary
    Reaching deeper into neuronal networks using optical physics. Understanding the functions and intricacies of the brain is a fundamental challenge in scientific research. This project aims to develop new technologies to construct a microscope able to alter and make sense of neuronal activity in situ. This project also aims to investigate the precise role of a key brain region involved in sensory processing: the locus coeruleus. The results will reveal how this brain region influences brain dynami .... Reaching deeper into neuronal networks using optical physics. Understanding the functions and intricacies of the brain is a fundamental challenge in scientific research. This project aims to develop new technologies to construct a microscope able to alter and make sense of neuronal activity in situ. This project also aims to investigate the precise role of a key brain region involved in sensory processing: the locus coeruleus. The results will reveal how this brain region influences brain dynamics as well as behaviour. Expected outcomes include state of the art microscopes, high impact publications, and international collaborations. The anticipated benefits are the high quality training of the Australian workforce and further establishment of Australia as a leader in microscopy and neuroscience.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230102299

    Funder
    Australian Research Council
    Funding Amount
    $478,000.00
    Summary
    Transforming Australian bio-based industries through multiscale modelling. Agricultural and forestry biomass can be converted into feedstocks for production of biofuels and biomaterials via synthetic biology. A key challenge is the complex biomass microstructure renders it highly resistant to conversion, and pretreatment is crucial for enhancing process efficiency. Micro-CT imaging will enable particle characterisation and identification of changes in the fibre composition during pretreatment. T .... Transforming Australian bio-based industries through multiscale modelling. Agricultural and forestry biomass can be converted into feedstocks for production of biofuels and biomaterials via synthetic biology. A key challenge is the complex biomass microstructure renders it highly resistant to conversion, and pretreatment is crucial for enhancing process efficiency. Micro-CT imaging will enable particle characterisation and identification of changes in the fibre composition during pretreatment. This information will be used to create a virtual biomass particle model for an in silico investigation to inform optimal process design. The framework will transform the way biomass is processed, contributing to the growth of the Australian bio-manufacturing industry by making it more productive, profitable and sustainable.
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