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.Read moreRead less
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.Read moreRead less
Impacts of Banned Drinkers Register Re-introduction in Northern Territory. This project aims to investigate the impact of the re-introduction of the Banned Drinker Register in the Northern Territory, where rates of alcohol-related harm are more than twenty times that seen in other Australian states.
This interdisciplinary team will use qualitative and quantitative methods across urban and remote locations to answer complex questions about policy impact.
This Project expects to provide evidence ....Impacts of Banned Drinkers Register Re-introduction in Northern Territory. This project aims to investigate the impact of the re-introduction of the Banned Drinker Register in the Northern Territory, where rates of alcohol-related harm are more than twenty times that seen in other Australian states.
This interdisciplinary team will use qualitative and quantitative methods across urban and remote locations to answer complex questions about policy impact.
This Project expects to provide evidence to inform future policy introduction and refinement. It aims to enhance Aboriginal research capacity for investigating alcohol policy.
Benefits should include world’s best evidence on the impact of supply restriction policies on treatment needs and the massive levels of harm seen in the Northern Territory.Read moreRead less
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.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100140
Funder
Australian Research Council
Funding Amount
$436,968.00
Summary
Improving the Outcomes of Indigenous Boarding School Graduates. This project generates evidence that is urgently needed to improve Indigenous Australian boarding school outcomes, by examining the life paths and experiences of recent graduates. It draws on rich qualitative data regarding Indigenous graduate experiences, to examine practices that affect retention, attainment, post-school pathways and cultural wellbeing. This project expands a novel Indigenous research method, photoyarn, to amplify ....Improving the Outcomes of Indigenous Boarding School Graduates. This project generates evidence that is urgently needed to improve Indigenous Australian boarding school outcomes, by examining the life paths and experiences of recent graduates. It draws on rich qualitative data regarding Indigenous graduate experiences, to examine practices that affect retention, attainment, post-school pathways and cultural wellbeing. This project expands a novel Indigenous research method, photoyarn, to amplify the voices of Indigenous participants using digital co-research processes. Providing first-hand evidence to inform Indigenous education policy, this project also produces best practice guidelines for Australia's boarding school industry, toward closing the gap in Indigenous boarding graduate outcomes.Read moreRead less