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
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
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
Discovery Early Career Researcher Award - Grant ID: DE180100190
Funder
Australian Research Council
Funding Amount
$363,996.00
Summary
Auction design with behavioural bidders. This project aims to incorporate behavioural elements from psychology into the economic analysis of auctions. The project will address discrepancies between traditional economic analysis of auctions based on fully rational bidders, and evidence from psychology and behavioural economics which demonstrates systemic departures from rational decision-making. This will expand realism in economic analysis and contribute new insights for the design of relevant, ....Auction design with behavioural bidders. This project aims to incorporate behavioural elements from psychology into the economic analysis of auctions. The project will address discrepancies between traditional economic analysis of auctions based on fully rational bidders, and evidence from psychology and behavioural economics which demonstrates systemic departures from rational decision-making. This will expand realism in economic analysis and contribute new insights for the design of relevant, real-world auctions such as real-estate auctions or internet auctions. The project outcomes are expected to enhance the efficient allocation of resources, improve our understanding of how different rules affect buyers' well-being and help design fairer auctions.Read moreRead less
Plasmonic nanoparticle catalysis for nitrogen-based synthesis. Light can generate an optical force to capture small objects. This requires intense light – a laser, which limits optical trapping in catalysis applications. This project aims to apply plasmonic nanoparticles with normal-intensity light to take advantage of plasmonic-generated optical forces for catalytic chemical synthesis. The optical trapping/releasing of small molecules is highly selective and responsive to molecule structure and ....Plasmonic nanoparticle catalysis for nitrogen-based synthesis. Light can generate an optical force to capture small objects. This requires intense light – a laser, which limits optical trapping in catalysis applications. This project aims to apply plasmonic nanoparticles with normal-intensity light to take advantage of plasmonic-generated optical forces for catalytic chemical synthesis. The optical trapping/releasing of small molecules is highly selective and responsive to molecule structure and so presents a great opportunity to radically alter chemical synthesis pathways, which will be illustrated with reactions on liquid-solid and gas-solid interfaces. This highly innovative strategy will be used to discover new nitrogen-based syntheses which are both fundamentally and industrially important.Read moreRead less
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
Nanostructured solid acid catalysts for sustainable chemical manufacturing. This project aims to develop next-generation solid acid catalysts for energy- and atom-efficient transformations of waste biomass and carbon dioxide to sustainable chemicals and fuels. Catalysis is a transformative technology, key to both life and lifestyle, contributing to 90% of chemical manufacturing processes and >20% of all industrial products, and will be a key enabler for the emerging Australian bioeconomy. The ex ....Nanostructured solid acid catalysts for sustainable chemical manufacturing. This project aims to develop next-generation solid acid catalysts for energy- and atom-efficient transformations of waste biomass and carbon dioxide to sustainable chemicals and fuels. Catalysis is a transformative technology, key to both life and lifestyle, contributing to 90% of chemical manufacturing processes and >20% of all industrial products, and will be a key enabler for the emerging Australian bioeconomy. The expected development of new high performance catalysts for the production of renewable transportation fuels and sustainable chemical feedstocks will underpin commercially viable low carbon technologies using waste resources, and should provide significant benefits to Australian science, industry, and the environment.
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Promoting transition metal complex catalysis with plasmonic antennae. This project aims to apply visible light photocatalysis to a wide range of chemical reactions by utilizing the intriguing effects of intense light absorption by plasmonic metal nanoparticles, such as generating energetic electrons, changing reactant adsorption and the chemical binding of reactant with the catalyst. These effects will promote catalysis at surface-bound metal complex reaction sites under mild reaction conditions ....Promoting transition metal complex catalysis with plasmonic antennae. This project aims to apply visible light photocatalysis to a wide range of chemical reactions by utilizing the intriguing effects of intense light absorption by plasmonic metal nanoparticles, such as generating energetic electrons, changing reactant adsorption and the chemical binding of reactant with the catalyst. These effects will promote catalysis at surface-bound metal complex reaction sites under mild reaction conditions. This is a part of our long-term effort to transform chemical production by heating into green photocatalytic process. This project expects to generate knowledge crucial for developing theories for catalysis, the design of efficient catalysts, green chemical synthesis methods, and enhance international collaboration.Read moreRead less
Photochemical Design of Microstructured Aerospace Materials. Commercial aviation and shipping spend over US$300 billion on fuel and emit almost 3 billion tonnes of carbon dioxide annually at an enormous environmental cost. This project will provide the material chemistry innovation basis for the production of drag reduction surfaces that can be applied to enable a more effective airflow over an aircraft, thus reducing fuel consumption. Critically, the material design approach will not only deliv ....Photochemical Design of Microstructured Aerospace Materials. Commercial aviation and shipping spend over US$300 billion on fuel and emit almost 3 billion tonnes of carbon dioxide annually at an enormous environmental cost. This project will provide the material chemistry innovation basis for the production of drag reduction surfaces that can be applied to enable a more effective airflow over an aircraft, thus reducing fuel consumption. Critically, the material design approach will not only deliver a high performance coating for the production of drag reduction surfaces, but allow these surfaces to be tailored to specific application profiles including UV resistance and anti-fouling properties. The project will place an Australian company at the forefront of drag reduction technologyRead moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100477
Funder
Australian Research Council
Funding Amount
$421,554.00
Summary
Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and ....Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and protect privacy in AI applications. The anticipated outcomes should provide significant benefits to a wide range of applications, such as providing timely alerts to the media, government organisations, and the industry about misleading fake visual data, and preventing financial crimes on synthetic identity fraud.Read moreRead less