Continuously learning to see. The ultimate goal of computer vision is to make a machine able to understand the world through analysis of images or videos. The new machine learning techniques developed in this project will enable previously impossible methods of computer vision and help strengthen Australia's competitiveness in this important area.
Integrating rifts and swell in the mathematics of ice shelf disintegration. Antarctic ice-shelf disintegrations have the alarming potential to cause rapid sea level rise, through accelerated discharge of the Antarctic Ice Sheet and initiating runaway Ice Sheet destabilisations. The project aims to develop a mathematical model of swell-induced ice-shelf vibrations in a coupled ocean–shelf 3D framework, focusing on interactions between vibrations and the rift networks that characterise outer shelf ....Integrating rifts and swell in the mathematics of ice shelf disintegration. Antarctic ice-shelf disintegrations have the alarming potential to cause rapid sea level rise, through accelerated discharge of the Antarctic Ice Sheet and initiating runaway Ice Sheet destabilisations. The project aims to develop a mathematical model of swell-induced ice-shelf vibrations in a coupled ocean–shelf 3D framework, focusing on interactions between vibrations and the rift networks that characterise outer shelf margins before disintegration. Accurate, efficient solutions will be developed by fusing powerful approximation theories, and validated by numerical solutions. The model will be combined with state-of-the-art data to predict trends in Antarctica’s remaining ice shelves and indicate potential future disintegrations.Read moreRead less
Mathematics the key to modern glass and polymer fibre technology. This project aims to develop fully coupled flow and energy models to determine the preform structure and fibre-drawing parameters needed to fabricate a desired microstructured optical fibre by stretching of the preform to a fibre. It will focus on polymer to develop a non-Newtonian flow model, which can handle the subset of Newtonian glass fibre drawing. It will develop fast, powerful three-dimensional predictive tools to solve th ....Mathematics the key to modern glass and polymer fibre technology. This project aims to develop fully coupled flow and energy models to determine the preform structure and fibre-drawing parameters needed to fabricate a desired microstructured optical fibre by stretching of the preform to a fibre. It will focus on polymer to develop a non-Newtonian flow model, which can handle the subset of Newtonian glass fibre drawing. It will develop fast, powerful three-dimensional predictive tools to solve the models and experimentally validate solutions. This work will direct future design of microstructured optical fibres to empower next-generation optical-fibre technologies. Expected outcomes are fibre designs for telecommunications, medicine, biotechnology, sensing and imaging.Read moreRead less
Data Exploitation for Critical Infrastructure Protection: Gathering Intelligence from Digital Evidence Collected from IT Networks and Process Control Systems. This proposal addresses the National Priority of Safeguarding Australia and its results will serve as a major input into current Australian Federal Government and Defence initiatives in digital evidence collection and exploitation as part of process control system security. It will play a significant part in satisfying the Australian commu ....Data Exploitation for Critical Infrastructure Protection: Gathering Intelligence from Digital Evidence Collected from IT Networks and Process Control Systems. This proposal addresses the National Priority of Safeguarding Australia and its results will serve as a major input into current Australian Federal Government and Defence initiatives in digital evidence collection and exploitation as part of process control system security. It will play a significant part in satisfying the Australian community that steps are being taken to safeguard national services and will develop techniques for protecting Australia against criminal or terrorist cyber attack on national services infrastructure. It will serve to develop niche Australian research expertise in this very specialised international field.Read moreRead less
Adapting Deep Learning for Real-world Medical Image Datasets. The project aims to investigate new deep learning modelling approaches to leverage real-world large-scale image data sets that contain noisy and incomplete labels and imbalanced class prevalence – to enable the use of these data sets for modelling deep learning classifiers. Expected outcomes include an innovative method for modelling deep learning classifiers. The research will involve new inter-disciplinary and international collabor ....Adapting Deep Learning for Real-world Medical Image Datasets. The project aims to investigate new deep learning modelling approaches to leverage real-world large-scale image data sets that contain noisy and incomplete labels and imbalanced class prevalence – to enable the use of these data sets for modelling deep learning classifiers. Expected outcomes include an innovative method for modelling deep learning classifiers. The research will involve new inter-disciplinary and international collaborations with machine learning and medical image analysis research institutions. This should provide significant benefits, such as better understanding of deep learning theory, new deep learning applications that can use previously unexplored data sets, and training for the future Australian workforce.Read moreRead less
How is information organised in the mind? Learning structured mental representations from data. One of the biggest questions in psychology is to understand the principles that the mind uses to organise information. This project is both a search for these underlying psychological laws, and an attempt to develop new statistical technologies and mathematical tools that can be used to organise information in applied settings.
Quantifying the economic and social impacts of drought in rural Australia. Climate-change research predicts drought is likely to increase its frequency, duration and severity, drastically challenging Australian agriculture and rural societies. The aim of this project is to use innovative techniques to analyse (i) national datasets to determine the economic and social impacts of droughts in rural and regional Australia; and (ii) the results of a national survey to estimate and understand farmers’ ....Quantifying the economic and social impacts of drought in rural Australia. Climate-change research predicts drought is likely to increase its frequency, duration and severity, drastically challenging Australian agriculture and rural societies. The aim of this project is to use innovative techniques to analyse (i) national datasets to determine the economic and social impacts of droughts in rural and regional Australia; and (ii) the results of a national survey to estimate and understand farmers’ drought adaptation responses to carbon-credit market signals. The outcomes are expected to be a major step in developing and implementing cost-effective drought policies and services to minimise its complex impacts, strengthen rural and regional community resilience, and enhance sustainable agriculture in Australia. Read moreRead less
Multi-modal virtual microscopy for quantitative diagnostic pathology. This project will contribute to the next generation of virtual microscopy systems that provide innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of diagnostic pathology. These tools will especially contribute to the screening and diagnosis of cervical, lung and bladder cancer.
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less
Adapting for an uncertain future: farmer behaviour in water-stressed basins. Given the future risk of water scarcity, farmers will need to plan for greater farm-level adaptation. Drought and policy reform have inflicted significant economic, social and personal stress upon Murray-Darling Basin rural communities. This project aims to aid water managers and policy makers with a greater understanding of transformational farmer adaptation in order to plan for the economic, social and health impacts ....Adapting for an uncertain future: farmer behaviour in water-stressed basins. Given the future risk of water scarcity, farmers will need to plan for greater farm-level adaptation. Drought and policy reform have inflicted significant economic, social and personal stress upon Murray-Darling Basin rural communities. This project aims to aid water managers and policy makers with a greater understanding of transformational farmer adaptation in order to plan for the economic, social and health impacts of future water scarcity from climate change and water reform-related policies. The focus will be on the Murray-Darling Basin, as well as undertaking a comparative analysis with water stressed basins in the United States.Read moreRead less