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
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
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
Erosion processes in soils across scales. This project aims to develop a monitoring tool for predicting the evolution of internal erosion in dams based on innovative electromagnetic observation methods. Internal erosion is an insidious process occurring in the obscurity of the soil’s pore system until its consequences become visible and threaten the stability of the dams. These water retaining structures are vital for the future water and energy supply for our society and their failure can be ca ....Erosion processes in soils across scales. This project aims to develop a monitoring tool for predicting the evolution of internal erosion in dams based on innovative electromagnetic observation methods. Internal erosion is an insidious process occurring in the obscurity of the soil’s pore system until its consequences become visible and threaten the stability of the dams. These water retaining structures are vital for the future water and energy supply for our society and their failure can be catastrophic. By establishing an improved understanding of internal erosion as a sequence of processes on various scales, from the onset of erosion until the failure of the structure, this project will place Australia at the forefront of dam safety assessment.Read moreRead less
Statistical Methods for Next Generation Genome-Wide Association Studies. This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating genomic data from diverse and underrepresented populations, this project further expects to c ....Statistical Methods for Next Generation Genome-Wide Association Studies. This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating genomic data from diverse and underrepresented populations, this project further expects to contribute to the equitable use of genomic technologies in humans, regardless of geographical origins. Expected outcomes of this research include novel analysis methods and software tools, which should broadly and significantly benefit gene discovery in other species, including those of agricultural relevance.Read moreRead less
Bottom-up multiscale modelling of expansive soils in natural environments . Expansive soils, highly sensitive to the environment, undergo dramatic strength and volume changes. This project aims to advance our understanding of expansive soils under different temperatures, hydraulic conditions, mechanical loads, and aqueous salinities. The project expects to use a combination of multidisciplinary knowledge, multiscale experiments and numerical simulations. The outcomes are a new multiscale model a ....Bottom-up multiscale modelling of expansive soils in natural environments . Expansive soils, highly sensitive to the environment, undergo dramatic strength and volume changes. This project aims to advance our understanding of expansive soils under different temperatures, hydraulic conditions, mechanical loads, and aqueous salinities. The project expects to use a combination of multidisciplinary knowledge, multiscale experiments and numerical simulations. The outcomes are a new multiscale model and advanced analysis/design tool for evaluating the performance of expansive soils under different conditions. The outcomes should provide the efficient way to mitigate the significant damage caused to infrastructure by expansive soils and facilitate the application of expansive soil products in waste disposal systems.Read moreRead less
Designing functional biomaterials with superior cellular interactions. This proposal aims to make a new class of biomaterials that direct important cellular functions such as adhesion, proliferation, and differentiation. This will be achieved by developing materials that leverage a previously unexplored mechanism that was recently identified in my lab: the co-engagement of integrin and syndecan-4 cell receptors. We will use these biomaterials to 1) fabricate 3D printed tissue engineering scaffo ....Designing functional biomaterials with superior cellular interactions. This proposal aims to make a new class of biomaterials that direct important cellular functions such as adhesion, proliferation, and differentiation. This will be achieved by developing materials that leverage a previously unexplored mechanism that was recently identified in my lab: the co-engagement of integrin and syndecan-4 cell receptors. We will use these biomaterials to 1) fabricate 3D printed tissue engineering scaffolds with a superior ability to promote the development of new tissue, and 2) create surfaces that will enable us to answer fundamental scientific questions regarding cell adhesion and cell/material interactions.Read moreRead less
Advanced hydrodynamics for next generation of offshore infrastructure. This project aims to develop rigorous and precise prediction models for next generation offshore infrastructure, by capturing nonlinear wave-structure interaction. This project expects to generate new knowledge in offshore hydrodynamics (a branch of fluid mechanics) applicable to Ocean Engineering, using cutting-edge numerical technology, state-of-the-art physical modelling, and unique full-scale field data. The expected outc ....Advanced hydrodynamics for next generation of offshore infrastructure. This project aims to develop rigorous and precise prediction models for next generation offshore infrastructure, by capturing nonlinear wave-structure interaction. This project expects to generate new knowledge in offshore hydrodynamics (a branch of fluid mechanics) applicable to Ocean Engineering, using cutting-edge numerical technology, state-of-the-art physical modelling, and unique full-scale field data. The expected outcomes include enhanced capacity to estimate hydrodynamic response and advanced design tools for floating wind, floating solar and offshore aquaculture. This will provide significant benefit by enabling cost-efficient and viable designs, thereby accelerating the development of offshore renewable energy.Read moreRead less
Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characteris ....Next-generation computational models to understand human joints . This project aims to investigate human joint systems through combining state-of-the-art imaging and high-fidelity biomechanical models. The methods developed in this project are expected to generate new ways of studying the dynamic response of musculoskeletal tissues to activity, including how musculoskeletal physiology can adapt to biomechanical stimuli. Expected outcomes include establishing a non-invasive method for characterising whole joint systems. This project will provide significant knowledge gain on the biomechanical regulation of human joints across form, function, dynamics and loading which may help across many facets of society to guide physical activity choices.Read moreRead less