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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Unravelling soil carbon response to warming in fire-affected ecosystems. This project aims to reveal the continental pattern of soil carbon (C) response to warming in fire-affected ecosystems across Australia and to unravel the biogeochemical mechanisms underlying fire’s role in shaping the temperature sensitivity of soil respiration. Fire has modified over 40% of the Earth’s land surface and wildfire frequency is predicted to increase under global warming. This project expects to generate new k ....Unravelling soil carbon response to warming in fire-affected ecosystems. This project aims to reveal the continental pattern of soil carbon (C) response to warming in fire-affected ecosystems across Australia and to unravel the biogeochemical mechanisms underlying fire’s role in shaping the temperature sensitivity of soil respiration. Fire has modified over 40% of the Earth’s land surface and wildfire frequency is predicted to increase under global warming. This project expects to generate new knowledge on how fire influences soil-to-atmosphere C fluxes in a warmer climate using a multi-disciplinary approach. Expected outcomes include an enhanced capacity to predict the terrestrial ecosystem-to-atmosphere C fluxes and their feedbacks to climate under increasing frequency of fire using Earth-system models. 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
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
Building insights of our largest terrestrial carbon sink: rangelands soils. Rangelands soils represent Australia’s largest carbon sink. Yet, little is known about their potential for carbon sequestration or their vulnerability to climate and environmental change. This project leverages investments in national terrestrial observation platforms and integrates previous research outputs to develop new methods to measure and build understanding of soil carbon composition and dynamics in rangeland eco ....Building insights of our largest terrestrial carbon sink: rangelands soils. Rangelands soils represent Australia’s largest carbon sink. Yet, little is known about their potential for carbon sequestration or their vulnerability to climate and environmental change. This project leverages investments in national terrestrial observation platforms and integrates previous research outputs to develop new methods to measure and build understanding of soil carbon composition and dynamics in rangeland ecosystems. Under a framework that connects detailed measurements and small-scale processes, with machine-learning, data-model assimilation and large-scale next-generation biogeochemical modelling, it’ll allow more accurate predictions of soil carbon change and better decision-making to guide sustainable rangelands management.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
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
Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor ....Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor authentication performance, which is not commercially applicable. This project aims to investigate innovative solutions to this issue. The intended deliverables will include deep learning based biometric feature extractor, cancellable biometrics and cloud oriented biometrics security protocols. 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
Advancing Genocide Forecasting: New Definition, Methods, and Forecasts. The project intends to develop a new method of forecasting to improve the international community’s and Australia's ability to anticipate and prevent genocide. The project is designed to build on work in the Atrocity Forecasting Project since 2009, and to bring together political science and computer science. To address well-known problems the project plans to reconceptualise genocide as extreme targeted mass killing, increa ....Advancing Genocide Forecasting: New Definition, Methods, and Forecasts. The project intends to develop a new method of forecasting to improve the international community’s and Australia's ability to anticipate and prevent genocide. The project is designed to build on work in the Atrocity Forecasting Project since 2009, and to bring together political science and computer science. To address well-known problems the project plans to reconceptualise genocide as extreme targeted mass killing, increasing definitional clarity and data reliability. Combining a better concept with cutting-edge computer science forecasting approaches, the project aims to produce new annual forecasts, pushing accuracy further. Expected project outcomes will provide new understanding and a better tool for genocide prevention.Read moreRead less