Involvement of the Human Retinal Endothelial Cell in Blinding Eye Disease. Endothelial cells line the blood vessels of the vascular networks that circulate blood through the tissues. The molecular constitution of each endothelial cell is different and specific to function, but may predispose to tissue-specific disease. Retinal endothelial cells ensure the nutrition and protection of a tissue critical to vision, but are key participants in retinal ischemic, inflammatory and infectious diseases th ....Involvement of the Human Retinal Endothelial Cell in Blinding Eye Disease. Endothelial cells line the blood vessels of the vascular networks that circulate blood through the tissues. The molecular constitution of each endothelial cell is different and specific to function, but may predispose to tissue-specific disease. Retinal endothelial cells ensure the nutrition and protection of a tissue critical to vision, but are key participants in retinal ischemic, inflammatory and infectious diseases that threaten vision. This project will investigate molecular activities of retinal endothelial cells that are relevant to retinal disease processes and explore future biological therapies directed against the human retinal endothelial cell that address efficacy and safety deficiencies of current treatments.Read moreRead less
The new voice of Multicultural Australian English. This project aims to generate an integrated and inclusive model of Australian-English, through phonetic analysis of the spoken language used by adolescents from a range of ethnic backgrounds. Australia is one of the most ethnically diverse countries in the world yet the complex relationship between speech production and cultural diversity is largely unknown in 21st century multicultural Australia. This project aims to establish how adolescents f ....The new voice of Multicultural Australian English. This project aims to generate an integrated and inclusive model of Australian-English, through phonetic analysis of the spoken language used by adolescents from a range of ethnic backgrounds. Australia is one of the most ethnically diverse countries in the world yet the complex relationship between speech production and cultural diversity is largely unknown in 21st century multicultural Australia. This project aims to establish how adolescents from different ethnicities use speech patterns to symbolically express their diverse sociocultural identities. The project expects to inform sociophonetic theories of variation, ethnicity, and identity, providing a framework for supporting sociocultural cohesion in Australia. Read moreRead less
Using language to predict cognitive outcomes in old age. This project aims to understand the relationship between linguistic complexity metrics and cognitive decline in old age. The project will test the hypothesis that high linguistic complexity scores reflect the ability to strategically optimise processing in the face of age-related reductions in processing capacity. By studying the relation between complexity scores and real-time information processing (measured via electroencephalography) a ....Using language to predict cognitive outcomes in old age. This project aims to understand the relationship between linguistic complexity metrics and cognitive decline in old age. The project will test the hypothesis that high linguistic complexity scores reflect the ability to strategically optimise processing in the face of age-related reductions in processing capacity. By studying the relation between complexity scores and real-time information processing (measured via electroencephalography) across the adult lifespan (20–80 years), this project will develop a simple and accurate marker of the individual balance between processing capacity and strategy. This project has the potential to increase quality of life for the elderly and reduce costs of age-related cognitive impairment.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.
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.
Bio-inspired Computing for Problems with Chance Constraints. Bio-inspired algorithms have successfully been applied to a wide range of optimisation problems. Uncertainties in real-world applications can lead to critical failures of production schedules or safe critical systems. Chance constraints model such uncertainties and allow to limit the possibility of such failures. This future fellowship builds up the area of bio-inspired computing for problems with chance constraints. It develops high ....Bio-inspired Computing for Problems with Chance Constraints. Bio-inspired algorithms have successfully been applied to a wide range of optimisation problems. Uncertainties in real-world applications can lead to critical failures of production schedules or safe critical systems. Chance constraints model such uncertainties and allow to limit the possibility of such failures. This future fellowship builds up the area of bio-inspired computing for problems with chance constraints. It develops high performing bio-inspired algorithms for stochastic problems where the constraints can only be violated with a small probability. The outcomes will lead to more effective and reliable optimisation methods for complex planning processes in areas of national priority such as mining and manufacturing.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
From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden ....From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden behind another object. This project will investigate how brains use both environmental and internal information to select a target and predict its future location. By implementing bio-inspired computations in hardware, this project aims to provide significant benefits such as improving autonomous systems for defence, health and transportation.Read moreRead less
The microbe factory: a novel approach to benign minerals processing. The purpose of this project is to reduce the environmental impact of current mining practices. The anticipated outcome of this project is the replacement of toxic chemicals used in the separation of minerals with the novel use of environmentally benign microbes.