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
Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are compl ....Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are complete and noise-free. These weaknesses limit its utility, because real data such as those that must be analysed in processing social networks, fraud detection do not satisfy the restrictions. The aim of this project is to develop theoretical and practical advances in OL that overcome the existing weaknesses.Read moreRead less
A New Generic Approach for Assessing Blast Effects on Reinforced Concrete Members. A framework allow for both flexural and shear response analysis using a new segmental approach is developed in this proposal. A blast test program is designed to validate the framework for reinforced concrete members. The validated framework is then used to derive normalised pressure impulse programs for reinforced members in unconfined and confined spaces. This project will provide design engineers guidelines for ....A New Generic Approach for Assessing Blast Effects on Reinforced Concrete Members. A framework allow for both flexural and shear response analysis using a new segmental approach is developed in this proposal. A blast test program is designed to validate the framework for reinforced concrete members. The validated framework is then used to derive normalised pressure impulse programs for reinforced members in unconfined and confined spaces. This project will provide design engineers guidelines for reliably and quickly assessing the effect of different kinds of blast loads on different types and properties and geometries of reinforced concrete structural members, saving computation time and efforts while providing increased realism and accuracy.Read moreRead less
Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less
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
Retrofitting unreinforced masonry walls with fibre reinforced polymer strips. An efficient technique for increasing the safety of existing masonry structures under earthquake (and other) loading will be developed. This is essential to the safe continued use of existing infrastructure (avoid replacement = economic benefit). This new technique addresses many shortcomings in existing alternatives (increased performance, reduced cost). This research is particularly important in Australia where unrei ....Retrofitting unreinforced masonry walls with fibre reinforced polymer strips. An efficient technique for increasing the safety of existing masonry structures under earthquake (and other) loading will be developed. This is essential to the safe continued use of existing infrastructure (avoid replacement = economic benefit). This new technique addresses many shortcomings in existing alternatives (increased performance, reduced cost). This research is particularly important in Australia where unreinforced masonry accounts for most domestic construction, much light commercial infrastructure, as well as many heritage and post-disaster buildings. It also reinforces Australia's high international standing in developing innovative retrofitting alternatives using advanced materials in this rapidly developing area. Read moreRead less
Infrastructure on reactive soils: fundamental advances and validation. This project aims to advance fundamental knowledge on the complex behaviour of reactive soils in the context of resilient geotechnical infrastructure. This research falls within the research priority “Environmental Change”, as geotechnical infrastructure need to sustain the impact of ever more frequent and more intense climatic actions. Attention will focus on the effect of suction on volume change and shear strength of react ....Infrastructure on reactive soils: fundamental advances and validation. This project aims to advance fundamental knowledge on the complex behaviour of reactive soils in the context of resilient geotechnical infrastructure. This research falls within the research priority “Environmental Change”, as geotechnical infrastructure need to sustain the impact of ever more frequent and more intense climatic actions. Attention will focus on the effect of suction on volume change and shear strength of reactive soils, two poorly understood features, and will produce a swelling model and a soil-deformable structure interaction model. After validation by a case study, the models will have the potential to empower industry to produce geotechnical infrastructure that can better sustain climatic actions.Read moreRead less
Composite tubular construction subject to impact and blast loading. This project will advance the knowledge of composite tubular members and connections under impact and blast loading. It will provide confident design methodology against impact and blast loading for buildings designated as prominent targets or items of critical infrastructure, to save lives and reduce losses.
Improved analysis techniques for seismic assessment of unreinforced masonry buildings with flexible floor/roof diaphragms. A major international collaboration between researchers in Australia, New Zealand and Italy is underway to develop a method for structural engineers to determine which masonry buildings post a significant hazard to the public in the event of an earthquake such as that which struck the city of Christchurch.