A novel quantitative risk assessment framework for fractured rock slopes. Rock slope instabilities present grave risks to life and to the serviceability of major Australian infrastructure such as mines, roads and railways, and to coastal recreation areas. This project aims at developing tools for the quantitative risk assessment of fractured rock slopes based on rigorous rock mechanics, numerical methods and probabilistic methods.
The research outcomes will improve our understanding of natural ....A novel quantitative risk assessment framework for fractured rock slopes. Rock slope instabilities present grave risks to life and to the serviceability of major Australian infrastructure such as mines, roads and railways, and to coastal recreation areas. This project aims at developing tools for the quantitative risk assessment of fractured rock slopes based on rigorous rock mechanics, numerical methods and probabilistic methods.
The research outcomes will improve our understanding of natural and engineering rock slopes, reduce the uncertainties in the prediction of the safety of infrastructures, and thus minimize the loss and damage. The research outcomes can also be used to maintain workplace safety in mining environments and avoid disruptions to production.
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Reactive flow through porous media by micro-imaging. Australia is embarking on the development of major gas fields offshore Western Australia. These developments are very costly and techniques to manage the risk in development are well sought after. This project assists in risk management of tertiary recovery methods and CO2 storage. Further, it can contribute significantly to the accurate forward modelling of storage of hazardous materials and pollution remediation strategies. The project could ....Reactive flow through porous media by micro-imaging. Australia is embarking on the development of major gas fields offshore Western Australia. These developments are very costly and techniques to manage the risk in development are well sought after. This project assists in risk management of tertiary recovery methods and CO2 storage. Further, it can contribute significantly to the accurate forward modelling of storage of hazardous materials and pollution remediation strategies. The project could shape important decisions in the future and impact on environmental risk assessment.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less
Towards Generalisable and Unbiased Dynamic Recommender Systems. This project aims to develop the foundations, including models, methodology, and algorithms for building generalisable and unbiased dynamic recommender systems to facilitate intelligent decision-making, prompt contextualised and personalised strategic plans, and support context-aware action recourse. To ensure that fundamental principles, such as fairness and transparency, are respected, a set of algorithms and techniques are propos ....Towards Generalisable and Unbiased Dynamic Recommender Systems. This project aims to develop the foundations, including models, methodology, and algorithms for building generalisable and unbiased dynamic recommender systems to facilitate intelligent decision-making, prompt contextualised and personalised strategic plans, and support context-aware action recourse. To ensure that fundamental principles, such as fairness and transparency, are respected, a set of algorithms and techniques are proposed to develop recommender systems in a more responsible manner. The result of this project will not only maintain Australia's leadership in this frontier research area, but also serve as an excellent vehicle for the education and training of Australia's next generation of scholars and engineers.Read moreRead less
Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. ....Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. Evaluation will be via development of several exemplar applications. The techniques and framework will be applicable to a broad range of economically important problems in areas as diverse as health, travel, scientific publication search, product marketing and software engineering.Read moreRead less
Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and frac ....Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and fractures. This project integrates innovation in geology, chemistry, and mineral engineering, and will deliver mineral-scale reaction models that will increase efficiency of in-situ mining and leaching technologies. Knowledge generated can be applied to improve mineral exploration, mining, and processing, contributing to unlocking billions of dollars’ worth of resources tied up in low grade, mineralogically complex ores.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Development of Advanced Detection Systems for Accelerator Mass Spectrometry. This project aims to expand significantly the range of isotopes available for accelerator mass spectrometry at the Australian National University to include the ability to detect manganese-53, nickel-59 and uranium-236 to ultra-sensitive concentrations. To achieve this, my extensive experience in fundamental nuclear physics will be exploited to develop a gas-filled magnet for the detection of mangnese-53 and nickel-59, ....Development of Advanced Detection Systems for Accelerator Mass Spectrometry. This project aims to expand significantly the range of isotopes available for accelerator mass spectrometry at the Australian National University to include the ability to detect manganese-53, nickel-59 and uranium-236 to ultra-sensitive concentrations. To achieve this, my extensive experience in fundamental nuclear physics will be exploited to develop a gas-filled magnet for the detection of mangnese-53 and nickel-59, and a time-of-flight detector to detect uranium-236. This project has applications in the topical areas of climate change and nuclear safeguards, as well as applications in the earth sciences and the management of nuclear waste.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.Read moreRead less