Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critic ....Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critical but costly tool for acquiring this data. This project anticipates that airborne spatial tracking using intelligent spatial tracking algorithms on board low cost UAV teams will allow more precise understanding of wildlife for evidence-based conservation and management in a changing global climate.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Interacting with visualisations of extremely large graph structures on large displays. The latest technological progressions have delivered very large data sets that can be modelled as graphs or networks. Examples include: social networks, biological data, and software structures. This project will develop techniques to allow users to visualise the graphs in the entirety and directly interact with data.
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
Discovery Early Career Researcher Award - Grant ID: DE170100572
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Collaborative information seeking and its application in tourism. The project aims to better understand group behaviour of information seeking. Collaboration is an essential aspect of modern life; collaborative work, including tourism, encompasses obtaining and using information. However, most information behaviour models focus on the individual seeker of information, rather than on improving collaboration and team performance. The project builds models and develops guidelines for understanding ....Collaborative information seeking and its application in tourism. The project aims to better understand group behaviour of information seeking. Collaboration is an essential aspect of modern life; collaborative work, including tourism, encompasses obtaining and using information. However, most information behaviour models focus on the individual seeker of information, rather than on improving collaboration and team performance. The project builds models and develops guidelines for understanding and supporting collaborative information seeking behaviour in the context of tourism. Making it easier for tourists to find information is expected to benefit the Australian tourism industry.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
Continuously learning to see. The ultimate goal of computer vision is to make a machine able to understand the world through analysis of images or videos. The new machine learning techniques developed in this project will enable previously impossible methods of computer vision and help strengthen Australia's competitiveness in this important area.
Food/body encounters: New approaches and alternative solutions to obesity prevention and policy. There is growing recognition of the need for new ways to tackle the obesity problem, and for forms of intervention that move beyond the limitations of individual behavioural changes. This project provides a paradigm for re-orientating how we have come to know obesity by investigating the cultural and institutional processes that shape everyday food and activity practices. Understanding and intervenin ....Food/body encounters: New approaches and alternative solutions to obesity prevention and policy. There is growing recognition of the need for new ways to tackle the obesity problem, and for forms of intervention that move beyond the limitations of individual behavioural changes. This project provides a paradigm for re-orientating how we have come to know obesity by investigating the cultural and institutional processes that shape everyday food and activity practices. Understanding and intervening in these dynamics of social practice are central to the challenges of reversing trends in the prevalence of obesity.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