Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical ....Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical tools for immersive data analytics. This will provide significant benefits, such as allowing those across government and industry to make more informed decisions from data.Read moreRead less
New Paradigms for Robust Fitting: Kernelisation and Polyhedral Search. Outliers inevitably exist in visual data due to imperfect data acquisition or preprocessing. To enable computer vision applications that can perform reliably, robust fitting algorithms are necessary to counter the biasing influence of outliers. However, current robust algorithms are unsatisfactory: they are unreliable (due to using randomisation) or too computationally costly (due to using exhaustive search). This project wil ....New Paradigms for Robust Fitting: Kernelisation and Polyhedral Search. Outliers inevitably exist in visual data due to imperfect data acquisition or preprocessing. To enable computer vision applications that can perform reliably, robust fitting algorithms are necessary to counter the biasing influence of outliers. However, current robust algorithms are unsatisfactory: they are unreliable (due to using randomisation) or too computationally costly (due to using exhaustive search). This project will develop new robust algorithms to mitigate these shortcomings. It will do so by investigating two new paradigms of kernelisation and polyhedral search, which offer unprecedented theoretical insights into the problem. The outcomes will contribute towards computer vision applications that are more practical and reliable.Read moreRead less
Mid-Career Industry Fellowships - Grant ID: IM230100527
Funder
Australian Research Council
Funding Amount
$1,051,456.00
Summary
Transforming harvest surplus into nutritious meals for food relief. The project aims to transform currently wasted harvest surplus into nutritious shelf-stable plant-based products for the food-relief sector. It integrates novel social-enterprise models with advanced food manufacturing and bespoke training and volunteering opportunities for food insecure individuals, to facilitate their pathway out of food insecurity. In close collaboration with food relief supply-chain provider Foodbank SA and ....Transforming harvest surplus into nutritious meals for food relief. The project aims to transform currently wasted harvest surplus into nutritious shelf-stable plant-based products for the food-relief sector. It integrates novel social-enterprise models with advanced food manufacturing and bespoke training and volunteering opportunities for food insecure individuals, to facilitate their pathway out of food insecurity. In close collaboration with food relief supply-chain provider Foodbank SA and policymaker Green Industries SA, the project will tackle two major problems for Australia – food insecurity and food waste – through systems thinking and leveraging underused resources, while building collaborations across academia and multiple industry sectors.Read moreRead less
Social exclusion in adolescence: risks, assets, experiences and policy action. This project aims to investigate social exclusion among young people aged 8 to 17 including the risks of exclusion they face, the assets mobilised to support their inclusion and their life experiences in the context of these risks and assets. The project intends to investigate which risks, assets and experiences are most closely related to outcomes, and how these vary by age and gender. Expected outcomes include a new ....Social exclusion in adolescence: risks, assets, experiences and policy action. This project aims to investigate social exclusion among young people aged 8 to 17 including the risks of exclusion they face, the assets mobilised to support their inclusion and their life experiences in the context of these risks and assets. The project intends to investigate which risks, assets and experiences are most closely related to outcomes, and how these vary by age and gender. Expected outcomes include a new understanding of the relationship between social exclusion and outcomes in adolescence as well as entry points for policy intervention. Addressing social exclusion in adolescence will lead to improved outcomes in health, education and productivity, and a more socially-cohesive society.Read moreRead less
Strengthening Relationships for Young People in Residential Care. Young people in residential care face major challenges in forming positive relationships, many having experienced adults as a source of threat rather than safety. This project aims to investigate practices within therapeutic residential care that enable or limit young people’s identity formation, positive social connections, safety and wellbeing. This research will generate nuanced knowledge informing interpersonal and institution ....Strengthening Relationships for Young People in Residential Care. Young people in residential care face major challenges in forming positive relationships, many having experienced adults as a source of threat rather than safety. This project aims to investigate practices within therapeutic residential care that enable or limit young people’s identity formation, positive social connections, safety and wellbeing. This research will generate nuanced knowledge informing interpersonal and institutional change. Expected outcomes include improved approaches to therapeutic care and to methods for enabling the participation of young people in care in matters that may change their life trajectory on exiting care. Expected benefits include more responsive policies and frameworks for practice.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101577
Funder
Australian Research Council
Funding Amount
$427,116.00
Summary
Microarchitectural attacks and JavaScript: threats and defences. This project aims to improve cybersecurity by identifying and mitigating vulnerabilities in Internet-connected computers. Expected outcomes of this project include novel techniques for protecting web browsers and cloud server, to prevent them from inadvertent leaks of private or sensitive information. This should provide significant benefits, such as reduced risk of cyberattacks and improved privacy for web users.
An advanced framework for multi-agent strategic interactions. Communication security protocols and computer algorithms are expressible in terms of strategic interactions between competing agents, which can be analyzed in a game theory setting. This project will exploit the recent advances in extending this game theory framework to multidimensional spaces, thereby strengthening the theoretical foundations. This will provide new insights into the working of algorithms, potentially improving futur ....An advanced framework for multi-agent strategic interactions. Communication security protocols and computer algorithms are expressible in terms of strategic interactions between competing agents, which can be analyzed in a game theory setting. This project will exploit the recent advances in extending this game theory framework to multidimensional spaces, thereby strengthening the theoretical foundations. This will provide new insights into the working of algorithms, potentially improving future secure key distribution. Multi-agent interactions in higher dimensional spaces are considered intractable using traditional matrix methods and this project will build on our exciting new breakthrough showing that such interactions are tractable using geometric multivectors.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100153
Funder
Australian Research Council
Funding Amount
$361,446.00
Summary
Automatically summarising and measuring software development activity. This project aims to create technologies for automatically repackaging, interpreting, and aggregating software development activity. The project will devise new natural-language summarisation approaches and productivity metrics that use all data available in a software repository. This is likely to lead to knowledge and tools that allow organisations to quickly integrate new developers into existing software projects, to impr ....Automatically summarising and measuring software development activity. This project aims to create technologies for automatically repackaging, interpreting, and aggregating software development activity. The project will devise new natural-language summarisation approaches and productivity metrics that use all data available in a software repository. This is likely to lead to knowledge and tools that allow organisations to quickly integrate new developers into existing software projects, to improve project awareness, and to increase productivity goals. The outcomes would include a comprehensive decision and awareness support system for software projects, based on automating the creation and continual updating of developer activity summaries and measures.Read moreRead less
Transitioning from out-of-home care: a longitudinal population-based study. This project aims to use a population-based method to examine the pathways of young people in, and transitioning from, out-of-home care in Western Australia. Young people in, and transitioning out of, out-of-home care experience many challenges. Care leavers, including a disproportionate number of Aboriginal young people, experience adverse outcomes across a range of domains leading to high social and economic costs for ....Transitioning from out-of-home care: a longitudinal population-based study. This project aims to use a population-based method to examine the pathways of young people in, and transitioning from, out-of-home care in Western Australia. Young people in, and transitioning out of, out-of-home care experience many challenges. Care leavers, including a disproportionate number of Aboriginal young people, experience adverse outcomes across a range of domains leading to high social and economic costs for the Australian community. The findings from the population-based data, together with an in-depth understanding of their lived experiences will identify a best practice model for improving their transition from care experiences to facilitate improved outcomes.Read moreRead less