Geological sequestration of carbon dioxide in deep saline aquifers: coupled flow-mechanical considerations. Deep saline aquifers have been routinely proposed as sites for long-term, large-scale storage of carbon dioxide (CO2) emissions, as an option to assist the abatement of global warming. This project investigates expected engineering behaviour of deep saline aquifer reservoirs and their stability following CO2 sequestration.
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
Lead-free oxide perovskites for highly efficient solar cells. This project aims to develop nanostructured lead-free oxide perovskites for solar energy applications. These materials will strengthen the future of photovoltaic technology by overcoming bandgap voltage limitations and toxicity/stability issues that plague conventional silicon-based and emerging halide perovskite-based solar cells. This project is expected to advance the rational design of solar cells based on oxide perovskites, which ....Lead-free oxide perovskites for highly efficient solar cells. This project aims to develop nanostructured lead-free oxide perovskites for solar energy applications. These materials will strengthen the future of photovoltaic technology by overcoming bandgap voltage limitations and toxicity/stability issues that plague conventional silicon-based and emerging halide perovskite-based solar cells. This project is expected to advance the rational design of solar cells based on oxide perovskites, which are efficient, high output voltage, environmentally friendly photovoltaic technology Success of the proposed programme paves the way to promote photovoltaic technology as a mainstream power generation source and a significant contributor to achieving energy, environmental and economic goals.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
Reconceiving Machine Learning. The proposed research will develop a new way to consider problems to which machine learning can be applied. Machine learning is crucial enabler of the digital economy. The research will provide better opportunities for Australian industry to gain a competitive advantage with machine learning technology. The framework developed will enable better opportunities for collaborative research and will build and strengthen international linkages.
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
A socio-ecological comparison of nations making a transition to renewable energy. This project aims to use ethnography to investigate how legitimacy for renewable energy can be won or lost. The project will focus on Germany, India and Australia, regions that are undergoing ‘energy transition.’ It, conducts in-depth studies of changing socio-ecological relations, theorising through comparative analysis, and creating new data on the socio-cultural forces for emission reduction. The project will an ....A socio-ecological comparison of nations making a transition to renewable energy. This project aims to use ethnography to investigate how legitimacy for renewable energy can be won or lost. The project will focus on Germany, India and Australia, regions that are undergoing ‘energy transition.’ It, conducts in-depth studies of changing socio-ecological relations, theorising through comparative analysis, and creating new data on the socio-cultural forces for emission reduction. The project will analyse what can be done to enhance the transition to renewable energy. The expected outcomes are grounded in the comparative study of regions that are making a transition to renewable power.Read moreRead less
Multifunctional trilayer separator for durable multivalent energy storage. This project aims to develop an important new family of economical, high energy, multivalent batteries based on an abundant element, sulphur. The project plans to design a new battery separator to enable long-term stability in sulphur-based rechargeable batteries. This type of separator is of critical importance in many membrane-involved energy storage technologies. The project plans to use leading-edge durable energy tec ....Multifunctional trilayer separator for durable multivalent energy storage. This project aims to develop an important new family of economical, high energy, multivalent batteries based on an abundant element, sulphur. The project plans to design a new battery separator to enable long-term stability in sulphur-based rechargeable batteries. This type of separator is of critical importance in many membrane-involved energy storage technologies. The project plans to use leading-edge durable energy technologies to strengthen the development of residential energy systems and the involvement of renewable energy sources in modern grid.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
Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less