ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies th ....ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies that will allow robots to see as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.Read moreRead less
Airports of the Future. This project will enhance the capabilities of Australian airport operators to design and manage complex airport systems. Research outcomes will enable the identification of patterns of behaviour and will provide tools to manage airport effectiveness and balance conflicting security, economic and passenger-driven pressures. Outcomes will improve productivity, enhance capabilities for critical infrastructure protection, and lessen the cost of mandated security, estimated t ....Airports of the Future. This project will enhance the capabilities of Australian airport operators to design and manage complex airport systems. Research outcomes will enable the identification of patterns of behaviour and will provide tools to manage airport effectiveness and balance conflicting security, economic and passenger-driven pressures. Outcomes will improve productivity, enhance capabilities for critical infrastructure protection, and lessen the cost of mandated security, estimated to grow to $152M by 2010 for the five major Australian airports. The deliverables of this project will be transferable to other complex socio-technical systems providing the potential to transform a range of Australian critical infrastructure and transportation hubs.Read moreRead less
Removing the blinkers: a wider study of the human eye. Peripheral aberrations, wide-field retinal imaging and optical parameters. This project will study peripheral (side vision) optics of the human eye and its role in the limits of visual performance. This will improve ocular measurements and contribute towards improved diagnosis and treatment of ocular diseases and short-sightedness.
Advanced methods for intraocular imaging. The ability to image the retina of the human eye at high resolution is fundamental to improving understanding of ocular physiology, ocular optics and disease diagnosis. This project applies the relatively new application of active optics to vision science. This project will investigate the advantages of using new beam shaping techniques for characterising the optics of the eye, improving retinal imagery and improving fixation stability. This project will ....Advanced methods for intraocular imaging. The ability to image the retina of the human eye at high resolution is fundamental to improving understanding of ocular physiology, ocular optics and disease diagnosis. This project applies the relatively new application of active optics to vision science. This project will investigate the advantages of using new beam shaping techniques for characterising the optics of the eye, improving retinal imagery and improving fixation stability. This project will achieve three-dimensional holography of human eyes and develop holography plates for correcting the aberrations of eyes. Expected outcomes are not-before experienced resolution images of the retina and better understanding of the optical characteristics of the refractive surfaces and media in the eye.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
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
Improving Global Tuberculosis Control With The AuTuMN Platform
Funder
National Health and Medical Research Council
Funding Amount
$655,059.00
Summary
Tuberculosis (TB) is the world’s leading infectious killer, with the failure of global control responsible for the vast majority of Australia’s cases. Using our robustly developed software platform, we have performed several country-level studies to predict the future burden of disease and compare the impact of alternative responses to controlling the epidemic. In this project, we will extend our platform to perform simulations at the global level and answer key questions in TB control.
Discovery Early Career Researcher Award - Grant ID: DE130101311
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Predicting health status of geriatric patients from user trusted multimedia observations. The information technology developed in this project will provide health care specialists with a better window into the lives of elderly patients. Their behaviour can then be accurately interpreted, potentially leading to earlier recognition of problems and better treatment.
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100061
Funder
Australian Research Council
Funding Amount
$1,000,000.00
Summary
FlashLite: A High Performance Machine for Data Intensive Science. FlashLite: a high performance machine for data intensive science: The 21st century has been described as the century of data. Experts predict an exponential growth in the amount of data that will be captured, generated and archived. Australia has made significant progress towards addressing some of the opportunities and infrastructure challenges posed by such rapid increase in data volumes. However, these investments do not addre ....FlashLite: A High Performance Machine for Data Intensive Science. FlashLite: a high performance machine for data intensive science: The 21st century has been described as the century of data. Experts predict an exponential growth in the amount of data that will be captured, generated and archived. Australia has made significant progress towards addressing some of the opportunities and infrastructure challenges posed by such rapid increase in data volumes. However, these investments do not address the growing need to process data. Conventional supercomputers are unable to meet the challenges of the data explosion. The large gap in latency and bandwidth between the processor, memory and disk subsystems means that the processor is often idle waiting to fetch data. This project will build a platform focussed on data intensive science.Read moreRead less