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
Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical ....Hierarchical information processing in the primate visual cortex. This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical tools adopted from deep learning. By explaining the physiological properties of higher-level neurons in terms of hierarchical networks, the project expects to address long standing questions in neuroscience, and provide insights on biological hierarchical computation.Read moreRead less
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.Read moreRead less
Fault detection and identification in nonlinear complex systems. Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safe ....Fault detection and identification in nonlinear complex systems. Complex systems usually comprise a large number of inter-dependent subsystems linked together to perform a certain task. Examples of such systems are power systems, irrigation systems, air traffic control systems, to name a few. Such systems are subject to component failure or malfunction. Total failure can cause an unacceptable financial losses and/or danger to personnel. It is therefore extremely essential, from economic and safety view points, that a way be found to ensure reliable and viable operation of complex plants. A first step in achieving this goal is to detect faults on-line and in real-time when they occur and identify their location and characteristics, which is the aim of this project.Read moreRead less
XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contr ....XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contribute to the advance in database and web research communities and establish us as an internationally leading group in this research area. The technological outcomes will help organisations in Australia effectively and efficiently conduct e-Business on the Internet. Read moreRead less
Hiding in Plain Sight: 'Associated Entities' and Australian Democracy. Associated Entities (AEs) are organisations that are formally linked to political parties. This project aims to examine how AEs interact with Australian democracy by investigating their impact on elections, the law, and party system dynamics. This project expects to generate new knowledge about the impact of these nearly 200 key political actors, with a particular focus on how they are able to elude significant scrutiny of th ....Hiding in Plain Sight: 'Associated Entities' and Australian Democracy. Associated Entities (AEs) are organisations that are formally linked to political parties. This project aims to examine how AEs interact with Australian democracy by investigating their impact on elections, the law, and party system dynamics. This project expects to generate new knowledge about the impact of these nearly 200 key political actors, with a particular focus on how they are able to elude significant scrutiny of their activities. Expected outcomes include a new typology of AEs, a new financial index to measure their impact, and proposals to improve their regulation. The key benefits generated include: a strengthened campaign finance regime, and enhanced transparency and integrity to Australia's democracy.Read moreRead less
Improved image analysis: maximised statistical use of geometry/shape constraints. This project will improve image analysis to apply such applications as 3D street-scape reconstruction, synthetic inserts into video for special effects, autonomous navigation, and scene understanding. It will do so by maximally exploiting the geometry of planar surfaces (e.g. walls) and straight lines and other simple geometric shapes.
Coping With Pressure: Respiratory Biology of Marine Mammals. Many marine mammals undergo severe, protracted lung collapse during deep dives. They also exhibit prolonged periods of apnea during sleep. In humans, lung collapse and sleep apnea both represent severe respiratory dysfunction. Pulmonary surfactant, a complex mixture that lines the lung, stabilises the lungs in terrestrial mammals, preventing lung collapse. Here, we propose a comprehensive examination of respiratory function in marine m ....Coping With Pressure: Respiratory Biology of Marine Mammals. Many marine mammals undergo severe, protracted lung collapse during deep dives. They also exhibit prolonged periods of apnea during sleep. In humans, lung collapse and sleep apnea both represent severe respiratory dysfunction. Pulmonary surfactant, a complex mixture that lines the lung, stabilises the lungs in terrestrial mammals, preventing lung collapse. Here, we propose a comprehensive examination of respiratory function in marine mammals. This study will significantly advance our knowledge of the diving physiology of Australian marine mammals. A detailed examination of the respiratory and surfactant systems of marine mammals may also reveal adaptations that enable these animals to endure sleep apnea and lung collapse.Read moreRead less
Dissecting the impact of stress on reproduction: Novel peptide mediates inhibitory effects of stress on female reproduction. This research proposal offers a pioneering opportunity to develop treatments that overcome the negative impact of stress on reproduction. Specifically, knowledge generated in this project will be vital in the development of strategic defences against the impact of stress on reproduction. This project fundamentally addresses Research Priority 2: Promoting and maintaining go ....Dissecting the impact of stress on reproduction: Novel peptide mediates inhibitory effects of stress on female reproduction. This research proposal offers a pioneering opportunity to develop treatments that overcome the negative impact of stress on reproduction. Specifically, knowledge generated in this project will be vital in the development of strategic defences against the impact of stress on reproduction. This project fundamentally addresses Research Priority 2: Promoting and maintaining good health. Given that suppression of reproduction by stress occurs in all mammalian species including humans, domestic animals and wildlife, being able to prevent or overcome stress-induced reproductive dysfunction will generate significant health, social, economic and ecological benefits. Read moreRead less
Intelligent Technologies for Smart Cryptography. This project aims to improve cybersecurity by automating the process of generating cryptographic software for smart devices. The expected outcomes are tools that automatically produce efficient cryptographic software that resists attacks. The main benefit of this project is to reduce the amount of expert labour required when developing secure software.