Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can intera ....Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can interactively experience the plant archive through narratives that activate plants as underpinning ecosystems. Benefits to partners RBG, Bundanon Trust and Open Humanities Press will include the digital expansion of audience engagement with the Herbarium at RBG and Mt Annan and communication of collection’s significance.Read moreRead less
Extinction Imaginaries: Mapping Affective Visual Cultures in Australasia. This project aims to provide NGOs with new strategies for raising awareness of environmental change by investigating what animal extinction means to Australians. Australasia has the highest global extinction rates, yet despite the wide circulation of visual images of extinction little is known about how they affect people. The project expects to address this critical gap by bringing innovative methodologies to the analysis ....Extinction Imaginaries: Mapping Affective Visual Cultures in Australasia. This project aims to provide NGOs with new strategies for raising awareness of environmental change by investigating what animal extinction means to Australians. Australasia has the highest global extinction rates, yet despite the wide circulation of visual images of extinction little is known about how they affect people. The project expects to address this critical gap by bringing innovative methodologies to the analysis of public responses to images of extinction and how they affect social imaginaries. Expected outcomes include research translations with environmental NGOs which should provide significant benefits by addressing public concern for the deteriorating ecosystems that future generations will inherit.
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Efficient multi-view video coding with cuboids and base anchored models. This project aims to address current deficiencies in multi-view video coding technology to achieve the ultra-compression efficiency demanded by increasing display resolutions and synchronised viewpoints. The project expects to generate new knowledge, by moving from the current pixel-centric approach to methods that concentrate information common to many view-frames. The project is expected to improve compression of audio-vi ....Efficient multi-view video coding with cuboids and base anchored models. This project aims to address current deficiencies in multi-view video coding technology to achieve the ultra-compression efficiency demanded by increasing display resolutions and synchronised viewpoints. The project expects to generate new knowledge, by moving from the current pixel-centric approach to methods that concentrate information common to many view-frames. The project is expected to improve compression of audio-visual services that are of great interest to international standards bodies and industry, while facilitating free interaction and augmented reality. This project will provide significant benefits to broadcast, entertainment, surveillance and health industries and position Australia as a world leader in this field.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Women marginalised by mental health, disability or refugee status. Women impacted by mental illness, disability or refugee status are among society’s most vulnerable and disenfranchised groups. Such women can experience significant social exclusion, marginalisation and stigma, associated with reduced help seeking, deprivation of dignity and human rights, and threats to health, well-being and quality of life. However, many women demonstrate resilience and agency, associated with positive health o ....Women marginalised by mental health, disability or refugee status. Women impacted by mental illness, disability or refugee status are among society’s most vulnerable and disenfranchised groups. Such women can experience significant social exclusion, marginalisation and stigma, associated with reduced help seeking, deprivation of dignity and human rights, and threats to health, well-being and quality of life. However, many women demonstrate resilience and agency, associated with positive health outcomes. This research will identify how women negotiate stigma and potential marginalisation, to inform health policy, and target interventions for vulnerable women, generating much-needed insight on women’s embodiment of stigma, and strategies used to cope with, negotiate and resist their stigmatised identities. Read moreRead less
Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising ap ....Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising approach, but its accuracy is far from satisfactory. The software systems developed in this project will be used in structural identification of target proteins in drug design. This will make drug design process more efficient, saving time and cost, potentially saving lives.Read moreRead less
Ambitious and Fair: Strategies for a sustainable visual arts sector. This project aims to strengthen the visual art industry’s economic ecosystem. In a context where artists’ incomes are low and falling, commercial galleries are financially vulnerable and public galleries face funding challenges, the project addresses barriers to the sector’s economic health and the challenge of improving artists’ incomes. To address this critical gap, the project will combine an analysis of current value chains ....Ambitious and Fair: Strategies for a sustainable visual arts sector. This project aims to strengthen the visual art industry’s economic ecosystem. In a context where artists’ incomes are low and falling, commercial galleries are financially vulnerable and public galleries face funding challenges, the project addresses barriers to the sector’s economic health and the challenge of improving artists’ incomes. To address this critical gap, the project will combine an analysis of current value chains and emergent forms of economic organisation with qualitative insights into the experiences of artists and arts professionals. It will propose interventions for arts industry and government policy to improve and develop this ecosystem. Benefits include improved incomes for arts workers and a sustainable arts industry.Read moreRead less
An intelligent machine modelling assistant for combinatorial optimisation. This project aims to discover key fundamental technologies for automating assistance to non-expert users in the formulation of mathematical models. Through automating the modelling of combinatorial optimization problems, this research will generate new knowledge to address the fundamental challenges of automatic mathematical modelling. This intelligent assistant will enable synthesis of new mathematical models through th ....An intelligent machine modelling assistant for combinatorial optimisation. This project aims to discover key fundamental technologies for automating assistance to non-expert users in the formulation of mathematical models. Through automating the modelling of combinatorial optimization problems, this research will generate new knowledge to address the fundamental challenges of automatic mathematical modelling. This intelligent assistant will enable synthesis of new mathematical models through the utilisation of pioneering natural language processing components and novel custom-made machine-readable knowledge bases. The outcome of this research will broaden access to high-quality models by non-expert workforce and alleviate the shortage of expert mathematicians, bringing significant social and economic benefits.Read moreRead less
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less
Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/S ....Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/SAR missions. It will exploit recent advances in Partially Observable Markov Decision Processes (POMDPs) to recommend robust, safe, and pilot-aware mission and manoeuvring strategies to make HEMS/SAR operations safer for helicopter crews, and more effective for those in need of the service.Read moreRead less