ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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Stochastic majorization--minimization algorithms for data science. The changing nature of acquisition and storage data has made the process of drawing inference infeasible with traditional statistical and machine learning methods. Modern data are often acquired in real time, in an incremental nature, and are often available in too large a volume to process on conventional machinery. The project proposes to study the family of stochastic majorisation-minimisation algorithms for computation of inf ....Stochastic majorization--minimization algorithms for data science. The changing nature of acquisition and storage data has made the process of drawing inference infeasible with traditional statistical and machine learning methods. Modern data are often acquired in real time, in an incremental nature, and are often available in too large a volume to process on conventional machinery. The project proposes to study the family of stochastic majorisation-minimisation algorithms for computation of inferential quantities in an incremental manner. The proposed stochastic algorithms encompass and extend upon a wide variety of current algorithmic frameworks for fitting statistical and machine learning models, and can be used to produce feasible and practical algorithms for complex models, both current and future.
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Cellular genomic approach to the pathogenesis of multiple sclerosis. This project compares the levels of gene usage in two important immune cell types between patients with multiple sclerosis and people who do not have the disease. It aims to identify the molecular basis for the disease, in order to identify new diagnostic, preventative and treatment options.
Unlocking the potential for linear and discrete optimisation in knot theory and computational topology. Computational topology is a young, energetic field that uses computers to solve complex geometric problems, such as whether a loop of string is tangled. Such computations are becoming increasingly important in mathematics, and applications span biology, physics and information sciences, however many core problems in the field remain intractable for all but the simplest cases. This project unit ....Unlocking the potential for linear and discrete optimisation in knot theory and computational topology. Computational topology is a young, energetic field that uses computers to solve complex geometric problems, such as whether a loop of string is tangled. Such computations are becoming increasingly important in mathematics, and applications span biology, physics and information sciences, however many core problems in the field remain intractable for all but the simplest cases. This project unites geometric techniques with powerful methods from operations research, such as linear and discrete optimisation, to build fast, powerful tools that can for the first time systematically solve large topological problems. Theoretically, this project has significant impact on the famous open problem of detecting knottedness in fast polynomial time.Read moreRead less
An investigation of the impacts of increased power supply to the national grid by wind generators on the Australian electricity industry. The aim of this project is to discover the most economical and effective way to accommodate large increases in wind power into the national grid and to understand the effects on the national electricity market. This is crucial to ensure stability of electricity supply and affordable prices in the transition towards a low carbon economy.
Most eye diseases have a genetic contribution, whether rare disorders affecting children such as retinoblastoma or congenital cataracts through to common disorders of older people such as myopia, age-related macular degeneration or glaucoma. We will continue our successful research to find genes that cause these diseases and use this to improve patient care and prevent blindness. We will work out how families can use this genetic information to participate in trials to develop new treatments.
Bilateral Cochlear Implants for Children: Does a Second Implant Improve Language, Psychosocial and Other Outcomes? Severe-profound congenital hearing loss engenders significant costs to society. In 2005, specialised education cost -- on average $25,000 per child, loss of productivity cost -- $6.7 billion, and social security benefits were paid to approximately 129,000 individuals who were unemployed due to hearing loss. If bilateral cochlear implantation results in improved language, social dev ....Bilateral Cochlear Implants for Children: Does a Second Implant Improve Language, Psychosocial and Other Outcomes? Severe-profound congenital hearing loss engenders significant costs to society. In 2005, specialised education cost -- on average $25,000 per child, loss of productivity cost -- $6.7 billion, and social security benefits were paid to approximately 129,000 individuals who were unemployed due to hearing loss. If bilateral cochlear implantation results in improved language, social development, and academic outcomes, the community benefits arising will be greatly improved quality of life for these individuals and significant savings to society. In partnership with Cochlear Ltd, this study will provide some of the first data worldwide comparing the effects of an additional implant on language, social and educational outcomes.Read moreRead less
Exploring Scanning Ultrasound (SUS), A Novel Method To Treat And Prevent Neurodegenerative Disease
Funder
National Health and Medical Research Council
Funding Amount
$765,708.00
Summary
We developed a novel scanning ultrasound (SUS) protocol that clears toxic protein aggregates and restores memory function in mouse models of Alzheimer's disease (AD), without the need for therapeutic agents. Here we aim to determine whether SUS has preventative potential, whether there are synergistic effects, and whether a therapeutic antibody combined with SUS leads to an enhanced therapeutic outcome. Together this will guide the development of an ultrasound therapy in AD patients.
Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identi ....Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identifying RNA molecules that contribute to quantitative phenotypes including susceptibility to disease. As such, it will directly benefit fundamental science via the discovery and classification of new molecules. Indirectly, it will lead to breakthroughs in biology, and consequently to major medical and pharmaceutical advances in the diagnosis and treatment of genetic disease.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100094
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
Selective laser melting - an advanced manufacturing and physical modelling technology for the digital age. Selective laser melting is a new manufacturing technology that creates parts layer by layer directly from a computer model, eliminating the need for tooling or machining. This technology will be applied to a diverse range of research areas from producing the next generation of medical implants and devices to improving our understanding of geo-materials.