Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the ....Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes. The project will validate the approach on a real-world case study data set concerning the prediction of five-year survival of chronic disease.Read moreRead less
Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features t ....Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features to analyse in each modality and the hidden relationships between them. The use of deep belief networks has produced promising results in several fields, such as speech recognition, and so this project believes that our approach has the potential to improve both the sensitivity and specificity of breast cancer detection.Read moreRead less
Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and frac ....Nature's mechanisms for leaching and remobilising metals. This project aims to understand the chemical and physical processes that govern reactive transport and metal scavenging in rocky environments. Much of Australia's mineral wealth is the result of the interaction of warm fluids with rocks deep in the Earth over geological timescales. The formation of ore deposits is governed by the physical chemistry of mineral dissolution and crystallisation, and by fluid flow through porous rocks and fractures. This project integrates innovation in geology, chemistry, and mineral engineering, and will deliver mineral-scale reaction models that will increase efficiency of in-situ mining and leaching technologies. Knowledge generated can be applied to improve mineral exploration, mining, and processing, contributing to unlocking billions of dollars’ worth of resources tied up in low grade, mineralogically complex ores.Read moreRead less
Learning human activities through low cost, unobtrusive RFID technology. A rapidly growing aged population presents many challenges to Australia's health and aged care services. The outcomes of this project will help aging Australians live in their own homes longer, with greater independence and safety by providing an automated, unobtrusive means for health professionals to monitor activity and intervene as required.
Patchy colloidosomes at interfaces: correlation of particle surface heterogeneity, wettability, and chemical activity at the nanoscale. The surfaces of natural mineral particles are made up of spots with such different chemical and physical properties. The complexity makes it hard to predict their behaviour. This project will provide insights into how the 'patchy' nature of particle surfaces affects their behaviour in processes such as flotation separation and bio-fuel production.
Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will re ....Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will resolve uncertainties in the underlying phenomena. The expected outcome should support future high quality cell cultures suitable for transplantation therapies.Read moreRead less
Multifunctional Structural Panels for Next-generation Infrastructure. This project aims to develop a multifunctional prefabricated structural panel for current and future infrastructure applications for both land and offshore environments. Prefabrication enables enhanced product control as well as the ability to rapidly construct whole structures or their components. The panels utilise an inner lightweight foam and fibre-reinforced polymer (FRP) composite core with strong outer panels made from ....Multifunctional Structural Panels for Next-generation Infrastructure. This project aims to develop a multifunctional prefabricated structural panel for current and future infrastructure applications for both land and offshore environments. Prefabrication enables enhanced product control as well as the ability to rapidly construct whole structures or their components. The panels utilise an inner lightweight foam and fibre-reinforced polymer (FRP) composite core with strong outer panels made from FRP sheets and high-strength concrete. The expected outcomes include experimental and numerical validation of the system, that will give designers and asset owners the confidence to adopt this new panel. The panel system presents an upward step change in construction technology and built infrastructure performance.Read moreRead less
Mitigating Vehicular Crashes into Masonry Buildings . Around 2000 vehicles crash annually into school, home and shop buildings located at close proximity to heavily trafficked roads in Australia and cause significant distress to occupants of building and vehicle. The impacted walls mostly of masonry, suffer severe damage often with vehicle intrusion into the building. Despite this, the intrusion mechanism is not understood and no effective mitigation strategies exist at present. This project wi ....Mitigating Vehicular Crashes into Masonry Buildings . Around 2000 vehicles crash annually into school, home and shop buildings located at close proximity to heavily trafficked roads in Australia and cause significant distress to occupants of building and vehicle. The impacted walls mostly of masonry, suffer severe damage often with vehicle intrusion into the building. Despite this, the intrusion mechanism is not understood and no effective mitigation strategies exist at present. This project will uncover the mechanics of vehicle intrusions through masonry walls and develop novel mitigation strategies using high energy absorbing auxetic composite render and innovative vibration isolation at wall edges. These innovations will lead to new theories that can save lives in the building and vehicle.Read moreRead less
Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, te ....Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, tested on real datasets, that combines new techniques in data modelling, algorithm development, and system design. Likely benefits are enhanced Australia's competence in data science through student training and new, robust data tools relevant to critical sectors such as cybersecurity, healthcare, and defence.Read moreRead less
Precision-engineered hybrid core-shell materials . This project aims to develop new platform technologies for making nanostructured hybrid core-shell materials with exceptionally high drug loading and programmed release. Building on this research team's recent breakthrough in the precision engineering of core-shell materials, this research will revolutionise current approaches for making drug-loaded polymer and inorganic particles. Significant outcomes will include a novel sequential nanoprecipi ....Precision-engineered hybrid core-shell materials . This project aims to develop new platform technologies for making nanostructured hybrid core-shell materials with exceptionally high drug loading and programmed release. Building on this research team's recent breakthrough in the precision engineering of core-shell materials, this research will revolutionise current approaches for making drug-loaded polymer and inorganic particles. Significant outcomes will include a novel sequential nanoprecipitation platform technology for making drug-core polymer-shell nanoparticles, and a new bio-inspired approach for making hybrid drug-core silica-shell nanocomposites, and new materials for applications in programmed release and delivery systems.Read moreRead less