Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.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
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
Expectations and commitments in the Australia-USA alliance. This project aims to investigate the gap between the high expectations of mutual support and the lack of detailed security commitments in the Australia-US Alliance. The project intends to use a focused approach that captures thematic aspects of the alliance through project frames and historical slices across time. Expected outcomes can advance understanding of how alliances operate as security institutions. The outcomes can help to prom ....Expectations and commitments in the Australia-USA alliance. This project aims to investigate the gap between the high expectations of mutual support and the lack of detailed security commitments in the Australia-US Alliance. The project intends to use a focused approach that captures thematic aspects of the alliance through project frames and historical slices across time. Expected outcomes can advance understanding of how alliances operate as security institutions. The outcomes can help to promote a more informed national conversation about the costs and benefits of Australia's security relationship with the United States of America (USA) and contribute to debates over the future of the Australia-USA Alliance during a period of strategic uncertainty.Read moreRead less
Special Research Initiatives - Grant ID: SR180100005
Funder
Australian Research Council
Funding Amount
$1,225,000.00
Summary
Remediation of PFAS contaminated soil using soil washing and immobilisation. This project aims to assess the applicability of soil washing and immobilisation as cost-effective techniques for the remediation of per- and poly-fluroalkyl substance (PFAS) contaminated Australian soils. The project expects to establish the efficacy of the remediation of a range of PFASs, including many polyfluorinated precursors of perfluorinated, chemically-persistent legacy pollutants which are of concern. The proj ....Remediation of PFAS contaminated soil using soil washing and immobilisation. This project aims to assess the applicability of soil washing and immobilisation as cost-effective techniques for the remediation of per- and poly-fluroalkyl substance (PFAS) contaminated Australian soils. The project expects to establish the efficacy of the remediation of a range of PFASs, including many polyfluorinated precursors of perfluorinated, chemically-persistent legacy pollutants which are of concern. The project will provide a scientific basis for understanding the benefits and limitations associated with soil washing and immobilisation techniques and a more comprehensive understanding of future liabilities associated with formation of PFASs from precursors remaining in remediated soils. Collaboration with stakeholders will ensure benefits are captured both commercially and environmentally, as well as removing a potential and on-going health threat to communities exposed to these contaminants.Read moreRead less
Radical right populist parties. This project aims to explain why some radical right-wing populists in Western democracies enter governmental alliances with mainstream parties while others remain isolated. The emergence, spread and electoral success of radical right populists is a problem facing liberal democracy in the twenty-first century. While these parties’ policies, ideologies and rhetoric are similar, their relationships with mainstream parties are different. By examining explanatory facto ....Radical right populist parties. This project aims to explain why some radical right-wing populists in Western democracies enter governmental alliances with mainstream parties while others remain isolated. The emergence, spread and electoral success of radical right populists is a problem facing liberal democracy in the twenty-first century. While these parties’ policies, ideologies and rhetoric are similar, their relationships with mainstream parties are different. By examining explanatory factors that Political Science studies have so far been neglected, this project seeks to explain this variation and explore its implications for coalition theory.Read moreRead less
Precision Pollination: Data-driven enhancements to boost crop yield. The project aims to transform industrial crop pollination from an intuitive domain to one where decisions are based on sound data and best-practice principles. It proposes to achieve this modernisation of global pollination practice by developing novel technologies to operate a three-stage loop: honeybee pollination monitoring, simulation-based forecasting, and management. This is intended to ensure that the capability of honey ....Precision Pollination: Data-driven enhancements to boost crop yield. The project aims to transform industrial crop pollination from an intuitive domain to one where decisions are based on sound data and best-practice principles. It proposes to achieve this modernisation of global pollination practice by developing novel technologies to operate a three-stage loop: honeybee pollination monitoring, simulation-based forecasting, and management. This is intended to ensure that the capability of honeybees to provide essential ecosystem services is informed by transferable, standardised data acquisition and management techniques that maintain bee health and maximise pollination. The anticipated outcomes are higher fruit yields and quality, and a beneficial step-change in industry productivity and profitability.Read moreRead less
Political Trust and Satisfaction with Democracy in Australia. Declining public support is one of the greatest challenges to democracy. In 2019, Australia recorded the lowest level of trust in politics on record. This project aims to understand the reasons for declining political trust and satisfaction with democracy in Australia. The project hopes to field the 2022-25 Australian Election Study to address these issues by surveying a representative sample of voters following the 2022 and 2025 Aust ....Political Trust and Satisfaction with Democracy in Australia. Declining public support is one of the greatest challenges to democracy. In 2019, Australia recorded the lowest level of trust in politics on record. This project aims to understand the reasons for declining political trust and satisfaction with democracy in Australia. The project hopes to field the 2022-25 Australian Election Study to address these issues by surveying a representative sample of voters following the 2022 and 2025 Australian federal elections, in addition to continuing a longitudinal survey started in 2016. The project wants to add to an unbroken series of publicly available data on Australian political behaviour since 1987, while also producing new insights into how individual opinions change over time.Read moreRead less