Preventing Water Theft in the Murray-Darling Basin. This Project aims to understand the complex interaction of socio-economic, legal and political factors that have enabled the theft of fresh water in the Murray-Darling Basin. By analysing the policies and regulations governing freshwater management, this project expects to generate new knowledge of the extent and types of water theft, offenders processed, penalties delivered, and the performance and operations of regulatory and enforcement agen ....Preventing Water Theft in the Murray-Darling Basin. This Project aims to understand the complex interaction of socio-economic, legal and political factors that have enabled the theft of fresh water in the Murray-Darling Basin. By analysing the policies and regulations governing freshwater management, this project expects to generate new knowledge of the extent and types of water theft, offenders processed, penalties delivered, and the performance and operations of regulatory and enforcement agencies. The expected outcomes include new research strategies for water theft prevention. This will benefit national security and community health by contributing to a sustainable and equitable supply of fresh water.Read moreRead less
Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithm ....Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithms and tools for optimal operations in cyber-physical systems. This should provide significant benefits including a practical technology for industry applications in smart grids and robotic systems, and training of the next generation engineers in this technology for Australia.Read moreRead less
Protecting Occupants in Vehicle Rollover Crashes. This project addresses a public health issue involving rollover crashes. It will help prevent 340 deaths, 6000 injuries and save $3.6 billion annually in Australia and many fold this number internationally. A dynamic rollover crashworthiness test protocol, that ensures efficient and economical vehicle rollover protection systems are designed and manufactured, will be provided to consumer and regulatory bodies to consider and implement. In additio ....Protecting Occupants in Vehicle Rollover Crashes. This project addresses a public health issue involving rollover crashes. It will help prevent 340 deaths, 6000 injuries and save $3.6 billion annually in Australia and many fold this number internationally. A dynamic rollover crashworthiness test protocol, that ensures efficient and economical vehicle rollover protection systems are designed and manufactured, will be provided to consumer and regulatory bodies to consider and implement. In addition, much needed Occupational Health & Safety information regarding vehicle rollover crashworthiness, which provide a safe work place environment for professional drivers and employees using vehicles, will be supplied to industry fleet managers, defence and emergency services.Read moreRead less
Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade ....Non-contact Integrity Assessment of Façade Panels of High-rise Buildings. Disintegration of the external façade (with tiles, plates, etc.) of high-rise buildings presents a great challenge and a threat to community. This project develops fundamental knowledge and algorithms that underpin the deployment of a new technique for fast and automated quantitative integrity assessment of façade units of high-rise buildings, integrating mechanisms of directional acoustic waves, vibro-acoustics of façade tiles or panels, laser sensing technology, deep learning algorithms and drone technology. Outcomes of this project are critical for implementing the new technology for enhanced safety to community and the development of new procedures for driving down maintenance costs of the external façade of high-rise buildings.Read moreRead less
The roles of stress and immunocompetence in biological invasions. Invasive species pose a major threat to biodiversity worldwide; and within Australia, cane toads are widely viewed as one of the biggest such problems. Building on recent studies that reveal weakened immune systems in invasion-front toads, this project will provide a comprehensive understanding of immune responses in cane toads and native frogs, with the aim of exploiting the toads' immunocompromised state to develop new and more ....The roles of stress and immunocompetence in biological invasions. Invasive species pose a major threat to biodiversity worldwide; and within Australia, cane toads are widely viewed as one of the biggest such problems. Building on recent studies that reveal weakened immune systems in invasion-front toads, this project will provide a comprehensive understanding of immune responses in cane toads and native frogs, with the aim of exploiting the toads' immunocompromised state to develop new and more effective control measures. The project will develop a new paradigm about the roles of stress and immunity in biological invasion, applicable to the control of other invasive species and to understanding processes at work when environmental changes force species to shift their ranges.Read moreRead less
Understanding the T cell repertoire in health and disease. Immune recognition of viruses usually involves a large number of different 'killer T cells' that kill cells infected by virus. However, during prolonged infection or in the elderly the number of different killer T cells that recognise the virus is greatly reduced. This reduction in the diversity of the immune response allows the virus to avoid immune recognition, and leads to more severe infection. We aim to understand how diversity is ....Understanding the T cell repertoire in health and disease. Immune recognition of viruses usually involves a large number of different 'killer T cells' that kill cells infected by virus. However, during prolonged infection or in the elderly the number of different killer T cells that recognise the virus is greatly reduced. This reduction in the diversity of the immune response allows the virus to avoid immune recognition, and leads to more severe infection. We aim to understand how diversity is generated in the immune response, and how it becomes narrowed with age or prolonged infection. This information can be used to design vaccines for persistent infections such as HIV, and to improve immune control of infection in the elderly.Read moreRead less
Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project ....Context-aware verification and validation framework for autonomous driving. This project aims to enhance the reliability and safety of emerging self-driving vehicles, through a framework that supports the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, using a multi-disciplinary research combining expertise from various fields. Expected outcomes of this project are a family of new context-aware techniques to verify and validate complex behaviours in autonomous driving. This should provide significant benefits, such as safe autonomous driving systems and the improved journey experience and security for road users.Read moreRead less
The dynamics of viral latency in chronic infection. Although many acute infections can now be controlled, we still suffer from a large number of chronic infections such as HIV or herpes that cannot be eradicated. Many of these infections persist because they can lie dormant in a 'latent' state. How this latent state is established, and how long it lasts are important to understand if we want to control these infections. We have assembled a team of mathematicians, immunologists and virologists in ....The dynamics of viral latency in chronic infection. Although many acute infections can now be controlled, we still suffer from a large number of chronic infections such as HIV or herpes that cannot be eradicated. Many of these infections persist because they can lie dormant in a 'latent' state. How this latent state is established, and how long it lasts are important to understand if we want to control these infections. We have assembled a team of mathematicians, immunologists and virologists in order to study latent infection at the cellular level, and within infected monkeys. This will provide the first insights into the dynamics of latency - how these cells are produced and die - and should lead to novel approaches to controlling chronic infection.Read moreRead less
Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The
telecommunications industries, on the other hand, benefit from the signal processing and communicat ....Convex optimisation for control, signal processing and communication systems. Renewable control of complex systems, signal processing, telecommunication and in general any industries interested in these applications stand to benefit from our research. In particular, the automotive and defence industries stand to benefit from the nonlinear control design aspect of the proposed project outcomes. The
telecommunications industries, on the other hand, benefit from the signal processing and communications aspects. We also build a core expertise in optimisation and its applications in Australia by training PhD students and Postdoctoral researchers. The research collaborations will cement and maintain the international linkages which will improve applied research in AustraliaRead 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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