Model-Based Approach to Adaptive Channel Coding and Estimation for Future Wireless Communication Systems. The project aims to maximise capacity, data rate and user mobility in wireless communication systems and will advance Australia's fundamental knowledge base in this field so that it stays at the forefront of international research in mobile communications. The application of research outcomes by the Australian telecommunications industry will improve the extent and quality of mobile networks ....Model-Based Approach to Adaptive Channel Coding and Estimation for Future Wireless Communication Systems. The project aims to maximise capacity, data rate and user mobility in wireless communication systems and will advance Australia's fundamental knowledge base in this field so that it stays at the forefront of international research in mobile communications. The application of research outcomes by the Australian telecommunications industry will improve the extent and quality of mobile networks, increasing network capacity and the number of mobile phone subscribers in Australia. This project will also optimise the use of mobile network resources (such as bandwidth and power) in next generation mobile networks, which in turn will result in faster and more reliable services such as wireless Internet access for business and private use.Read moreRead less
Reliable Communication in Wireless Cooperative Networks under Channel Uncertainty. The project addresses important problems in Breakthrough sciences and Frontier technologies within the national priority goals. It provides innovative solutions for wireless information technologies. The project's high-impact contributions will advance Australia’s knowledge base and publication of outcomes will elevate and maintain Australia's existing reputation in the field. The project provides 1) high-quality ....Reliable Communication in Wireless Cooperative Networks under Channel Uncertainty. The project addresses important problems in Breakthrough sciences and Frontier technologies within the national priority goals. It provides innovative solutions for wireless information technologies. The project's high-impact contributions will advance Australia’s knowledge base and publication of outcomes will elevate and maintain Australia's existing reputation in the field. The project provides 1) high-quality training for postgraduate students and 2) opportunities for collaborations with a prominent international partner investigator. The innovative solutions will address the ever-increasing demand for high-speed wireless Internet and multimedia.Read moreRead less
Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100128
Funder
Australian Research Council
Funding Amount
$395,000.00
Summary
Information processing in the brain. This project aims to understand the brain's functional organisation by developing non-invasive methods to characterise connectivity between interacting brain regions. No model-based methods to compute directional coupling between brain regions can be applied to large scale networks for resting state functional MRI data. This capability would be a major breakthrough in neuroimaging, given uninformative (non-directional) network connectivity analysis restricts ....Information processing in the brain. This project aims to understand the brain's functional organisation by developing non-invasive methods to characterise connectivity between interacting brain regions. No model-based methods to compute directional coupling between brain regions can be applied to large scale networks for resting state functional MRI data. This capability would be a major breakthrough in neuroimaging, given uninformative (non-directional) network connectivity analysis restricts research. This project is expected to advance our understanding of information processing in the brain by providing a mechanistic approach to functional integration.Read moreRead less