How the gut nervous system interacts with bacteria. This project aims to reveal how the enteric nervous system of the gastrointestinal (GI) tract interacts with the gut microbiota. Gut function has largely been studied without considering microbiota. The project will use genetically modified animal models, image analysis of gut motility and sequencing of gut microbes, and develop neurophysiological methods to understand gut function. Expected benefits include better understanding of mechanisms u ....How the gut nervous system interacts with bacteria. This project aims to reveal how the enteric nervous system of the gastrointestinal (GI) tract interacts with the gut microbiota. Gut function has largely been studied without considering microbiota. The project will use genetically modified animal models, image analysis of gut motility and sequencing of gut microbes, and develop neurophysiological methods to understand gut function. Expected benefits include better understanding of mechanisms underlying antibiotic resistance, risks associated with discretionary caesarean sections and the benefits of breastfeeding.Read moreRead less
Understanding brain mechanisms that control autonomic function. This project aims to understand the how the brain regulates sympathetic nerve activity, thereby increasing our understanding of the biology and function of nascent neurons on the adult brain stem. This challenges the current notion that new neurons are only made during development. The project will also determine how brain inflammation impacts blood-brain barrier function and affects sympathetic nerve regulation. The basic fundament ....Understanding brain mechanisms that control autonomic function. This project aims to understand the how the brain regulates sympathetic nerve activity, thereby increasing our understanding of the biology and function of nascent neurons on the adult brain stem. This challenges the current notion that new neurons are only made during development. The project will also determine how brain inflammation impacts blood-brain barrier function and affects sympathetic nerve regulation. The basic fundamental insights and conceptual advances into how autonomic function is controlled by the brain will provide a better understanding of these fundamental processes and will contribute to Australia’s priority research areas to improve health and advance product development.Read moreRead less
Pontine control of adaptive breathing behaviour in health and disease. This project will develop an understanding of the fundamental brain mechanisms associated with adaptive breathing during behaviour such as speech or swallowing. Adaptive breathing is impaired in lung disease, dementia and autism. This project will provide new insight to global brain function and treatment of central respiratory disorder.
Nonstochastic information flows in networked dynamical systems. Feedback control is a crucial element of manufacturing, vehicular and energy systems, and is needed to guarantee hard performance bounds in safety- and mission-critical environments. When these control systems are implemented over communication networks, the amount of information flowing through them becomes a critical determinant of performance. However, the nonprobabilistic control objectives make standard information theory inapp ....Nonstochastic information flows in networked dynamical systems. Feedback control is a crucial element of manufacturing, vehicular and energy systems, and is needed to guarantee hard performance bounds in safety- and mission-critical environments. When these control systems are implemented over communication networks, the amount of information flowing through them becomes a critical determinant of performance. However, the nonprobabilistic control objectives make standard information theory inapplicable. This project aims to develop a novel, nonstochastic theory of information in order to analyse and design networked dynamical systems that obey worst-case performance limits. This will yield robust, probability-free algorithms for distributed control, filtering and causality inference.Read moreRead less
Interactive learning for robots in human environments. This project aims to develop robots that can interact with and learn from humans to quickly and safely learn new skills. Recent advances in robotics and artificial intelligence are poised to transform our economy, workplaces and homes, and even the organisation of society, however these advances are limited by robots’ inability to learn and adapt in uncertain environments. The outcomes of this project are expected to include new validated me ....Interactive learning for robots in human environments. This project aims to develop robots that can interact with and learn from humans to quickly and safely learn new skills. Recent advances in robotics and artificial intelligence are poised to transform our economy, workplaces and homes, and even the organisation of society, however these advances are limited by robots’ inability to learn and adapt in uncertain environments. The outcomes of this project are expected to include new validated methods and frameworks to enable robots to be used by non-experts and to be quickly deployed in a variety of settings. This is anticipated to provide transformative benefits, improving safety and productivity in the workspace, and enabling improved comfort, convenience and quality of life in the home.Read moreRead less
Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and bi ....Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and biomedical research. The sensor network discipline also stand to benefit from the understanding of multi-object system and control framework. Read moreRead less
Modelling, Identification and Control of Complex Networks. Australia has been well known for its leading research in systems and control and many real-world applications in, for instance, telecommunications, defence, power grids and life sciences. This project will further promote Australia's leading position in the emerging new research field - complex networks by theoretical breakthrough in modelling, identification and control of complex networks, and cutting-edge platform technology that can ....Modelling, Identification and Control of Complex Networks. Australia has been well known for its leading research in systems and control and many real-world applications in, for instance, telecommunications, defence, power grids and life sciences. This project will further promote Australia's leading position in the emerging new research field - complex networks by theoretical breakthrough in modelling, identification and control of complex networks, and cutting-edge platform technology that can help Australian energy industry to reduce greenhouse emissions. It will also result in education of the next generation research leaders in this emerging field.Read moreRead less
Genomic and molecular characterisation of a novel Australian leishmania pathogen. Leishmaniasis is the second most serious protozoal disease after malaria. This project will help characterise the first Leishmania species identified in Australia providing molecular tools to monitor the pathogen and a detailed assessment of any potential risk to human health. Comparative analysis with more pathogenic species will help identify genes and mechanisms that determine the progression of human disease le ....Genomic and molecular characterisation of a novel Australian leishmania pathogen. Leishmaniasis is the second most serious protozoal disease after malaria. This project will help characterise the first Leishmania species identified in Australia providing molecular tools to monitor the pathogen and a detailed assessment of any potential risk to human health. Comparative analysis with more pathogenic species will help identify genes and mechanisms that determine the progression of human disease leading to the potential identification of new drug and vaccine targets. The methodologies and expertise developed will be used will be available to other research groups working on infectious diseases.Read moreRead less
The cognitive neuroscience of motor skill learning. The capacity to produce skilled motor behaviour is essential for success in almost every aspect of our lives, whether it be playing sport, driving a car, operating machinery at work, or touch-typing. This project aims to establish the causal role of brain regions in motor skill learning by combining cutting-edge techniques in neuroimaging and brain stimulation. It is expected to lead to fundamental new knowledge on how new motor memories are cr ....The cognitive neuroscience of motor skill learning. The capacity to produce skilled motor behaviour is essential for success in almost every aspect of our lives, whether it be playing sport, driving a car, operating machinery at work, or touch-typing. This project aims to establish the causal role of brain regions in motor skill learning by combining cutting-edge techniques in neuroimaging and brain stimulation. It is expected to lead to fundamental new knowledge on how new motor memories are created to enable the expression of skilled motor behaviour. The knowledge gained from this project may identify new strategies for learning skills that are widely applicable to education, industry, sport, and health.Read moreRead less
Real time optimisation by extremum seeking control and learning control. Optimal control technology provides the systematic design of systems that exhibit optimal behaviour, such as maximal productivity, best efficiency, minimal cost and best quality. Real time optimisation finds the solution of the optimal control in real time, relaxing requirements on the system knowledge. The proposed research will build on Australia's well-established strength in control and optimisation, and aim to establis ....Real time optimisation by extremum seeking control and learning control. Optimal control technology provides the systematic design of systems that exhibit optimal behaviour, such as maximal productivity, best efficiency, minimal cost and best quality. Real time optimisation finds the solution of the optimal control in real time, relaxing requirements on the system knowledge. The proposed research will build on Australia's well-established strength in control and optimisation, and aim to establish within Australia world-leading expertise in real time optimisation theories and applications. This will have direct benefits to the Australian economy through various engineering applications ranging from vehicle dynamics to emissions reduction to manufacturing process to efficiency improvement of power generation systems.Read moreRead less