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Australian State/Territory : QLD
Scheme : Discovery Projects
Research Topic : nervous system
Australian State/Territory : ACT
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP180102199

    Funder
    Australian Research Council
    Funding Amount
    $413,043.00
    Summary
    Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres .... Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210100640

    Funder
    Australian Research Council
    Funding Amount
    $425,912.00
    Summary
    A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extrac .... A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extractor for automatically extracting features, an optimiser for finding optimal parameters and non-iterative ensemble learning technique for classification of features into classes. The impact of this project will be automatic feature extractors and classifiers for real-world applications.
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    Funded Activity

    Discovery Projects - Grant ID: DP170102020

    Funder
    Australian Research Council
    Funding Amount
    $461,500.00
    Summary
    How enhancers regulate T cell differentiation and function. This project aims to identify the molecular mechanisms that regulate the activity of transcriptional enhancers needed for effective immune cell differentiation. Adaptive immune cell activation starts a programme of differentiation that acquires and maintains lineage-specific effector function. Using a multidisciplinary approach including cellular and chromatin biology, advanced bioinformatics, targeted genome editing and nanotechnology, .... How enhancers regulate T cell differentiation and function. This project aims to identify the molecular mechanisms that regulate the activity of transcriptional enhancers needed for effective immune cell differentiation. Adaptive immune cell activation starts a programme of differentiation that acquires and maintains lineage-specific effector function. Using a multidisciplinary approach including cellular and chromatin biology, advanced bioinformatics, targeted genome editing and nanotechnology, this project expects to provide insights into non-coding regulatory element reprogramming and control of immune cell function and memory with implications for understanding general cellular differentiation.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP160100494

    Funder
    Australian Research Council
    Funding Amount
    $515,000.00
    Summary
    Architectural design to improve Indigenous health outcomes. The project seeks to develop evidence-based knowledge on what Indigenous clients find supportive or stressful in health care settings, to formulate recommendations for architectural design and service delivery. Many Indigenous people fail to present for health care until chronically ill, due to fear or dislike of health services and their settings. This project aims to understand how design in healthcare architecture across different bu .... Architectural design to improve Indigenous health outcomes. The project seeks to develop evidence-based knowledge on what Indigenous clients find supportive or stressful in health care settings, to formulate recommendations for architectural design and service delivery. Many Indigenous people fail to present for health care until chronically ill, due to fear or dislike of health services and their settings. This project aims to understand how design in healthcare architecture across different building scales and services (clinics, hospitals, waiting rooms, wards etc) affects Indigenous people’s use and perceptions of these environments and consequent motivation to access health care services. Developing innovative and adaptable research methods, the project seeks to identify the necessary architectural design changes for health settings to facilitate access for Indigenous people.
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    Showing 1-4 of 4 Funded Activites

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