Multiblock copolymer synthesis for nano-engineered materials. This project aims to develop methodology for environmentally friendly and industrially applicable synthesis of new types of advanced polymeric materials comprising multiblock copolymers. Polymeric materials play an important role in society with applications from bulk plastics to advanced technological applications. This would enable the creation of advanced materials with specific engineering targets and applications ranging from nan ....Multiblock copolymer synthesis for nano-engineered materials. This project aims to develop methodology for environmentally friendly and industrially applicable synthesis of new types of advanced polymeric materials comprising multiblock copolymers. Polymeric materials play an important role in society with applications from bulk plastics to advanced technological applications. This would enable the creation of advanced materials with specific engineering targets and applications ranging from nanomedicine to materials science.Read moreRead less
SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the infor ....SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the information and contracts needed by IoT applications to discover, integrate, pay, and use sensors provided by another parties. These IoT advancements will provide significant economic, environmental, and social benefits via making low-cost and immediate sensing available across the world.Read moreRead less
Advanced Materials from Automated Synthesis of Sequence-Defined Polymers. The project aims to develop industrially scalable and environmentally friendly methods for synthesis of sequence-defined multiblock copolymers (polymer chains containing segments of different polymer types) using automated synthesis methods. The materials to be explored will be largely based on renewable biomass-derived monomeric building blocks. Such polymers are able to undergo microphase separation into spatially period ....Advanced Materials from Automated Synthesis of Sequence-Defined Polymers. The project aims to develop industrially scalable and environmentally friendly methods for synthesis of sequence-defined multiblock copolymers (polymer chains containing segments of different polymer types) using automated synthesis methods. The materials to be explored will be largely based on renewable biomass-derived monomeric building blocks. Such polymers are able to undergo microphase separation into spatially periodic compositional patterns, thereby providing access to a vast range of nano-engineered materials. This would enable design and synthesis of new advanced materials, making use of renewable resources and supporting the circular economy, with diverse potential applications ranging from nanomedicine to materials science.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
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibratio ....Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibrations and optimising structure geometries to either enhance or suppress the vibrations. This should provide significant benefits, such as the design strategies for improved energy harvesters, such as current oscillators, or more stable structures, such as platforms for offshore wind turbines.
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Finite Strain with large rotations: A new hybrid numerical/experimental approach. Deformation up to large strains and rotations is important in rocks, metals, polymers, and biomaterials. Computational mechanics is a standard tool for modelling such deformations. However, in earth sciences, mechanical theories use small-strain formulations or large-strain approaches with classical stress rates. Classical stress rates can lead to incorrect stored energies. This project proposes to test a new large ....Finite Strain with large rotations: A new hybrid numerical/experimental approach. Deformation up to large strains and rotations is important in rocks, metals, polymers, and biomaterials. Computational mechanics is a standard tool for modelling such deformations. However, in earth sciences, mechanical theories use small-strain formulations or large-strain approaches with classical stress rates. Classical stress rates can lead to incorrect stored energies. This project proposes to test a new large-strain theory tailored to rocks experimentally, and to apply it to a pivotal geological problem: shear zone formation. The project will advance our fundamental understanding of the mechanics and energetics of rock deformation and provide a novel tool for the modelling of large deformations.Read moreRead less
Testing the importance of large-scale climate factors to plant community assembly following land-use change. This project will examine the native plant species and functional diversity of Australia's rain forest communities to create a predictive framework of how plant communities recover following deforestation. Such a framework is key to focusing conservation efforts in degraded and multi-use landscapes.
New Frontiers and Advances in Discrete Integrable Systems. Integrable systems boast a long and venerable history, and have such famous members as the Kepler system, the Korteweg-de Vries equation, and the sine-Gordon equation. More recently, interest in integrable systems has expanded to include systems with discrete time, that is, ordinary difference equations (or maps) and integrable partial difference equations. These discrete integrable systems are arguably more fundamental than the continuo ....New Frontiers and Advances in Discrete Integrable Systems. Integrable systems boast a long and venerable history, and have such famous members as the Kepler system, the Korteweg-de Vries equation, and the sine-Gordon equation. More recently, interest in integrable systems has expanded to include systems with discrete time, that is, ordinary difference equations (or maps) and integrable partial difference equations. These discrete integrable systems are arguably more fundamental than the continuous-time ones. Based upon recent breakthroughs this study will combine analysis, geometry, and computer algebra to expand and systematise this new interdisciplinary field of discrete integrable systems.Read moreRead less
Iron, ferroptosis and the biology of ageing. This project aims to determine how and when regulation of iron is lost. Failing iron metabolism during life may dictate the rate of ageing by driving a newly discovered cell death program. Combining biology, chemistry and physics, this collaborative project aims to transform the understanding of the fundamental mechanisms of biological ageing. Anticipated outcomes include new assays for measuring iron in biology and identification of potential pathway ....Iron, ferroptosis and the biology of ageing. This project aims to determine how and when regulation of iron is lost. Failing iron metabolism during life may dictate the rate of ageing by driving a newly discovered cell death program. Combining biology, chemistry and physics, this collaborative project aims to transform the understanding of the fundamental mechanisms of biological ageing. Anticipated outcomes include new assays for measuring iron in biology and identification of potential pathways that regulate death signaling and lifespan. Outcomes will benefit life sciences and biotechnology industries.Read moreRead less