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Australian State/Territory : QLD
Research Topic : Image processing
Status : Active
Scheme : ARC Future Fellowships
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  • Researchers (17)
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  • Active Funded Activity

    ARC Future Fellowships - Grant ID: FT210100097

    Funder
    Australian Research Council
    Funding Amount
    $800,000.00
    Summary
    Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts .... Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts existing knowledge to new domains, and provide explanations to the graph learning system. The research results should provide benefit to governments and businesses in many critical applications, such as bioassay activity prediction, credit assessment, and drug discovery and vaccine development in response to the pandemic.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT200100899

    Funder
    Australian Research Council
    Funding Amount
    $811,452.00
    Summary
    Imaging the foundation of the nervous system. This Project aims to understand the formation of the neural tube; a fundamental tissue structure that generates the brain and the spinal cord. Using interdisciplinary approaches and exploiting recent advances in transgenic and imaging technologies, the Project expects to reveal the complex interplay of molecular, cellular and mechanical processes that direct neural tissue formation and cell fate specification. Outcomes from the Project include knowle .... Imaging the foundation of the nervous system. This Project aims to understand the formation of the neural tube; a fundamental tissue structure that generates the brain and the spinal cord. Using interdisciplinary approaches and exploiting recent advances in transgenic and imaging technologies, the Project expects to reveal the complex interplay of molecular, cellular and mechanical processes that direct neural tissue formation and cell fate specification. Outcomes from the Project include knowledge of previously intractable developmental processes, training of future scientists and development of international collaborations. This should provide enhanced imaging capacity, a higher quality scientific workforce and position Australia at the forefront of developmental biology.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT170100072

    Funder
    Australian Research Council
    Funding Amount
    $808,140.00
    Summary
    The role of strong duality in computer vision. This project aims to undertake research in the fields of computer vision and optimization that will have a significant impact on the design of numerical algorithms for solving a wide range of problems in Computer Vision, Virtual Reality and Robotic Navigation. This project will advance understanding of a broad class of problems related to how computers interpret images. An expected outcome is the generation of novel mathematical theory and numerical .... The role of strong duality in computer vision. This project aims to undertake research in the fields of computer vision and optimization that will have a significant impact on the design of numerical algorithms for solving a wide range of problems in Computer Vision, Virtual Reality and Robotic Navigation. This project will advance understanding of a broad class of problems related to how computers interpret images. An expected outcome is the generation of novel mathematical theory and numerical algorithms capable of fundamentally changing the way problems relevant to a wide range of vision-related applications are solved. This should offer Australia a strong competitive advantage as a leader in scientific innovation in the areas of Computer Vision, Virtual Reality and Robotics and Autonomous Systems.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT190100855

    Funder
    Australian Research Council
    Funding Amount
    $908,000.00
    Summary
    A pictorial communication framework for inclusion. A picture can tell a thousand words; many people with an intellectual disability can only communicate with pictures and are otherwise isolated. This project will research how computers can understand and facilitate a rich pictorial communication between people and person to machine, thereby supporting inclusion. This will be achieved by inclusively co-designing with people with ID and members of the community: a) an audio-visual accessible searc .... A pictorial communication framework for inclusion. A picture can tell a thousand words; many people with an intellectual disability can only communicate with pictures and are otherwise isolated. This project will research how computers can understand and facilitate a rich pictorial communication between people and person to machine, thereby supporting inclusion. This will be achieved by inclusively co-designing with people with ID and members of the community: a) an audio-visual accessible search tool, b) a pictorial communication device, and c) a visual inclusive social network. These applications will inform future innovations for everyone, and allow citizens with ID to access online information, participate in community activities and be included in the workplace.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT190100516

    Funder
    Australian Research Council
    Funding Amount
    $746,380.00
    Summary
    Regulation of 3D Cell Migration by Microtubule-Dependent Processes. The overarching aim of this research is to elucidate the molecular mechanisms that cells use to move in 3D environments: a basic biological function essential to development and homeostasis. During these processes, cells interact with their surroundings where they translate biophysical forces into biochemical signals to adapt their shape to move. This requires distinct signalling, controlled in space and time, to regulate the cr .... Regulation of 3D Cell Migration by Microtubule-Dependent Processes. The overarching aim of this research is to elucidate the molecular mechanisms that cells use to move in 3D environments: a basic biological function essential to development and homeostasis. During these processes, cells interact with their surroundings where they translate biophysical forces into biochemical signals to adapt their shape to move. This requires distinct signalling, controlled in space and time, to regulate the crosstalk between organelles and the cytoskeleton. To date, the role of microtubules remains elusive. Using interdisciplinary approaches combining advanced imaging technology with novel cell biology methods, the project aims to uncover fundamental knowledge about how cells interact with their environment.
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