Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. Th ....Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. The success of this project will further enhance the international competitiveness of Australian research in this important field and will benefit any Australian industry and business where software systems are deeply-rooted, such as transportation, smart homes, medical devices, defence and finance.Read moreRead less
How the gut nervous system interacts with bacteria. This project aims to reveal how the enteric nervous system of the gastrointestinal (GI) tract interacts with the gut microbiota. Gut function has largely been studied without considering microbiota. The project will use genetically modified animal models, image analysis of gut motility and sequencing of gut microbes, and develop neurophysiological methods to understand gut function. Expected benefits include better understanding of mechanisms u ....How the gut nervous system interacts with bacteria. This project aims to reveal how the enteric nervous system of the gastrointestinal (GI) tract interacts with the gut microbiota. Gut function has largely been studied without considering microbiota. The project will use genetically modified animal models, image analysis of gut motility and sequencing of gut microbes, and develop neurophysiological methods to understand gut function. Expected benefits include better understanding of mechanisms underlying antibiotic resistance, risks associated with discretionary caesarean sections and the benefits of breastfeeding.Read moreRead less
Situated Anomaly Detection in an Open Environment. This project aims to investigate situated anomaly detection in an open environment. Existing anomaly detection techniques follow the setting of conventional machine learning and discover anomalies from a set of collected data. In contrast, this project proposes to develop the next-generation of anomaly detection algorithms by learning from interactions with an open environment, which enables the discovery of new anomalies and the early detection ....Situated Anomaly Detection in an Open Environment. This project aims to investigate situated anomaly detection in an open environment. Existing anomaly detection techniques follow the setting of conventional machine learning and discover anomalies from a set of collected data. In contrast, this project proposes to develop the next-generation of anomaly detection algorithms by learning from interactions with an open environment, which enables the discovery of new anomalies and the early detection of anomalies. The established theories and developed algorithms will advance frontier technologies in machine intelligence. The success of the project will contribute to a wide range of real applications in cybersecurity, defence and finance, bringing massive social and economic benefits. Read moreRead less
Understanding somatic mutation in plants: new methods, new software, new data. Somatic mutations accumulate as plants grow, affecting everything from short-term ecological interactions to long-term evolutionary dynamics. These mutations have important consequences for plant industry and conservation, but because they are so hard to measure almost nothing is known about them. This project aims to develop new methods and software to detect, analyse, and compare the genome-wide history of somatic m ....Understanding somatic mutation in plants: new methods, new software, new data. Somatic mutations accumulate as plants grow, affecting everything from short-term ecological interactions to long-term evolutionary dynamics. These mutations have important consequences for plant industry and conservation, but because they are so hard to measure almost nothing is known about them. This project aims to develop new methods and software to detect, analyse, and compare the genome-wide history of somatic mutation in individual plants, providing an unprecedented level of detail into an important but understudied source of biological variation. By applying these methods to an iconic experimental population, This project aims to provide the first insights into the genome-wide causes and consequences of somatic mutation in plants.Read moreRead less
Smart comparison and assessment of prediction models for better health using next generation data mining. Prediction models can be used to provide early warning of events, such as adverse medical outcomes. This project will develop principles for the smart management of large collections of prediction models using data mining, enabling more timely medical interventions for Australians to live healthier and longer.
Smart Algorithms Linking Medical Image Data and Measures of Dysfunction. Losing sight has a profound affect on a person's quality of life. Advances in devices that monitor vision have not been matched by advances in computer software that analyses data from those devices. This project will combine computer science, visual neuroscience and clinical expertise to devise algorithms and build software that will vastly improve clinician's abilities to diagnose and monitor vision loss. In turn, this wi ....Smart Algorithms Linking Medical Image Data and Measures of Dysfunction. Losing sight has a profound affect on a person's quality of life. Advances in devices that monitor vision have not been matched by advances in computer software that analyses data from those devices. This project will combine computer science, visual neuroscience and clinical expertise to devise algorithms and build software that will vastly improve clinician's abilities to diagnose and monitor vision loss. In turn, this will dramatically improve the chances of those with diseases such as glaucoma to preserve their sight into old age. Furthermore, outcomes from this project will inform the development bionic eye technologies, which will assist those with eye diseases such as retinis pigmantosa and age-related macular degeneration to see.Read moreRead less
Bio-inspired Computing for Problems with Chance Constraints. Bio-inspired algorithms have successfully been applied to a wide range of optimisation problems. Uncertainties in real-world applications can lead to critical failures of production schedules or safe critical systems. Chance constraints model such uncertainties and allow to limit the possibility of such failures. This future fellowship builds up the area of bio-inspired computing for problems with chance constraints. It develops high ....Bio-inspired Computing for Problems with Chance Constraints. Bio-inspired algorithms have successfully been applied to a wide range of optimisation problems. Uncertainties in real-world applications can lead to critical failures of production schedules or safe critical systems. Chance constraints model such uncertainties and allow to limit the possibility of such failures. This future fellowship builds up the area of bio-inspired computing for problems with chance constraints. It develops high performing bio-inspired algorithms for stochastic problems where the constraints can only be violated with a small probability. The outcomes will lead to more effective and reliable optimisation methods for complex planning processes in areas of national priority such as mining and manufacturing.Read moreRead less
Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an in ....Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an increased understanding of neural mechanisms underlying sensory selectivity, the development of novel techniques, and enhanced capacity for interdisciplinary collaborations. The project will provide significant knowledge as the developed biomimetic algorithms should be applicable for increased performance in drones or other unmanned vehicles.Read moreRead less
Engineering solutions for the next generation of offshore oil and gas infrastructure. Offshore extraction of oil and gas reserves is a key industry for Australia, annually contributing A$21 billion to the economy, and underpinning much of our prosperity. With reserves close to shore being exhausted and A$1 trillion of gas reserves (four times that already developed) known to be 'stranded' in deep and remote locations, the outcomes of the proposed research programme will help scientifically under ....Engineering solutions for the next generation of offshore oil and gas infrastructure. Offshore extraction of oil and gas reserves is a key industry for Australia, annually contributing A$21 billion to the economy, and underpinning much of our prosperity. With reserves close to shore being exhausted and A$1 trillion of gas reserves (four times that already developed) known to be 'stranded' in deep and remote locations, the outcomes of the proposed research programme will help scientifically underpin the reliable design of the next generation of Australia's exploration and development infrastructure. It continues Australia's leadership in the field of offshore geotechnics and engineering, fostering tomorrow's engineering leaders and ensuring the future competitiveness of Australia's offshore oil and gas industry.Read moreRead less
Seabed engineering to unlock Australia's deepwater oil and gas resources. The development of offshore petroleum contributes $25 billion annually to the Australian economy. The majority of our $1 trillion of reserves are currently untapped, being in deep water, remote from shore. This Fellowship will generate a scientific understanding of the mechanics of seabed sediments when disturbed by infrastructure and ocean storms, and lead to procedures for designing the seabed pipelines and facilities ne ....Seabed engineering to unlock Australia's deepwater oil and gas resources. The development of offshore petroleum contributes $25 billion annually to the Australian economy. The majority of our $1 trillion of reserves are currently untapped, being in deep water, remote from shore. This Fellowship will generate a scientific understanding of the mechanics of seabed sediments when disturbed by infrastructure and ocean storms, and lead to procedures for designing the seabed pipelines and facilities needed to unlock Australia's isolated deep water petroleum reserves. These procedures will provide economic solutions for safely transmitting the hydrocarbons to shore. The resulting expertise will enhance Australia's global reputation in offshore geotechnics and engineering and raise the competitiveness of our petroleum industry.Read moreRead less