Elucidating the post-transcriptional regulation of mast cell proteases. Mast cells (MCs) are immune cells that protect against pathogens but may induce deleterious inflammation. MC function is mediated by specific proteases that are pre-formed and stored in granules. These proteases have unique yet poorly understood mechanisms of regulation. The aim of the project is to use a novel suite of molecular tools and genetically modified mice to identify the critical regions of transcripts that post-tr ....Elucidating the post-transcriptional regulation of mast cell proteases. Mast cells (MCs) are immune cells that protect against pathogens but may induce deleterious inflammation. MC function is mediated by specific proteases that are pre-formed and stored in granules. These proteases have unique yet poorly understood mechanisms of regulation. The aim of the project is to use a novel suite of molecular tools and genetically modified mice to identify the critical regions of transcripts that post-transcriptionally regulate the production and storage of these proteins. The project aims to identify the RNA binding proteins, microRNAs and other novel factors that also regulate them. This is expected to elucidate the post-transcriptional mechanisms of regulation of MC proteases.Read moreRead less
In-vivo detection of airway injury and disease using phase contrast X-ray velocimetry. Currently diagnosis of lung disease, a major cause of death in humans, is based on clinical symptoms that do not usually manifest until the disease is well advanced. This project will develop a novel imaging technique, X-ray velocimetry, to detect changes in tissue before symptoms arise, potentially leading to strategies for managing lung diseases.
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
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
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.
Read moreRead less
Multi-drug dry powder inhalation systems for the effective treatment of chronic obstructive pulmonary disease. Utilising a combination of particle engineering, computer modeling, rapid prototyping and high-speed 3D imaging this project will develop a novel approach to treat chronic obstructive pulmonary disease. A multi-drug particle system whose surface is independent of the drugs incorporated will be optimised in a novel high efficiency inhalation device.