Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561231
Funder
Australian Research Council
Funding Amount
$671,715.00
Summary
MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools acc ....MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools accessible through the Internet will enable researchers to archive, retrieve and exchange data and software; access distributed MR image databases and the latest MR image analysis tools; schedule analysis tasks on the grid compute engine, the outcomes of which will be visualized by the visualization workstations.Read moreRead less
Semantic change detection through large-scale learning. This project aims to develop technologies which understand the content of images before higher-level analysis is performed. This approach is intended to allow more accurate and reliable decisions to be made using automated image analysis than has previously been possible. The project will particularly investigate the detection of change in the contents of an image.
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
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.
Discovery Early Career Researcher Award - Grant ID: DE130101775
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Distributed large-scale optimisation methods in computer vision. With the number of images and video available over the internet reaching billions and growing, the need for new tools for handling and interpreting such huge amounts of data is quickly becoming apparent. This project will focus on developing new optimisation methods for efficiently computing solutions for a broad class of large-scale problems.
Learning Robotic Navigation and Interaction from Object-based Semantic Maps. Our project aims to develop new learning algorithms that enable robots to perform high-complexity tasks that are currently impossible. Compared to existing methods that rely on low-level sensor data, we aim to achieve this by learning from a high-level graph representation of the environment that captures semantics, affordances, and geometry. The outcome would be robots capable of using human instructions to efficiently ....Learning Robotic Navigation and Interaction from Object-based Semantic Maps. Our project aims to develop new learning algorithms that enable robots to perform high-complexity tasks that are currently impossible. Compared to existing methods that rely on low-level sensor data, we aim to achieve this by learning from a high-level graph representation of the environment that captures semantics, affordances, and geometry. The outcome would be robots capable of using human instructions to efficiently learn complex interaction and navigation behaviours that transfer to unseen environments. Our research should benefit new applications in domains of economic and societal importance that are currently too complex, unsafe, and uncertain for robot assistants, such as aged care, advanced manufacturing and domestic robotics.Read moreRead less
Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, ....Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, unprecedented in scope and resolution. Outcomes include an open access database to quantify and visualise intra-urban air pollution and human exposure and develop air quality maps and smoke pollution management tools. It is expected to advance the evidence-based management of air as a resource, increasing economic prosperity and enhancing human health and quality of life.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100093
Funder
Australian Research Council
Funding Amount
$510,000.00
Summary
High-throughput technology targeting antimicrobial resistance in animals. This project aims to establish reference laboratories as biobanks for resistant isolate collections from veterinary diagnostic laboratories / surveillance programmes and a national research network to mitigate antimicrobial resistance in animals. Antimicrobial resistance in zoonotic/foodborne pathogens and livestock commensals is a global issue. This project will use mass-spectroscopy biotypers, information management soft ....High-throughput technology targeting antimicrobial resistance in animals. This project aims to establish reference laboratories as biobanks for resistant isolate collections from veterinary diagnostic laboratories / surveillance programmes and a national research network to mitigate antimicrobial resistance in animals. Antimicrobial resistance in zoonotic/foodborne pathogens and livestock commensals is a global issue. This project will use mass-spectroscopy biotypers, information management software, robotic liquid handling and a research dairy to develop high-throughput screening technologies to rapidly determine major animal species’ resistance status, and research anti-infectives and vaccines for livestock diseases. This will improve the health and production of Australian livestock, leading to greater market access for high quality products.Read moreRead less
Investigation and development of robust rule discovery and classification system. This research focuses on a national research priority, namely smart information use. The expected outcomes of the project will greatly advance intelligent system design, such as automatic decision making, fault detection and problem diagnosis, for finance, medical, telecom and many other areas. It has great potential for commercialisation and earning incomes for the future research. The publications will benefit th ....Investigation and development of robust rule discovery and classification system. This research focuses on a national research priority, namely smart information use. The expected outcomes of the project will greatly advance intelligent system design, such as automatic decision making, fault detection and problem diagnosis, for finance, medical, telecom and many other areas. It has great potential for commercialisation and earning incomes for the future research. The publications will benefit the future development of intelligent systems for dealing with missing data. This project directly supports a PhD student and two research assistants who will most likely continue their higher degree study. These contribute to regional tertiary education.Read moreRead less
Special Research Initiatives - Grant ID: SR0354734
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
The Australian Research Network for Medical Devices: advanced technology solutions for patients and practitioners. Medical Device technologies embrace a wide range of scientific, engineering and medical knowledge, with the goal of assisting a clinical professional (doctor or nurse) deliver a service to a patient in an efficacious, cost effective manner. Development of appropriate medical devices, whether for diagnosis, treatment or prevention of disease or disability, is critical to improving h ....The Australian Research Network for Medical Devices: advanced technology solutions for patients and practitioners. Medical Device technologies embrace a wide range of scientific, engineering and medical knowledge, with the goal of assisting a clinical professional (doctor or nurse) deliver a service to a patient in an efficacious, cost effective manner. Development of appropriate medical devices, whether for diagnosis, treatment or prevention of disease or disability, is critical to improving health care and reducing health care costs. To be successful, a device must include all relevant disciplines in the research, development and testing phases. This network will bring together these groups, promoting knowledge sharing and cross-disciplinary investigations that illuminate current device limitations and potential solutions.Read moreRead less