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
High shear fluid flow driving carbon foundry for advanced manufacturing. This project aims to develop versatile continuous flow thin film microfluidic device technology for harnessing contact electrification generated by sub-micron high shear flows in fabricating novel and high-performance nano-carbons for which current methods are ineffective or impossible. This project expects to generate new knowledge on complex vortex fluid fields, their intricate interactions with external electric and magn ....High shear fluid flow driving carbon foundry for advanced manufacturing. This project aims to develop versatile continuous flow thin film microfluidic device technology for harnessing contact electrification generated by sub-micron high shear flows in fabricating novel and high-performance nano-carbons for which current methods are ineffective or impossible. This project expects to generate new knowledge on complex vortex fluid fields, their intricate interactions with external electric and magnetic fields and carbon nanostructure formation. Expected outcomes for this project include exquisite control on reforming nanocarbon with tuneable properties and unprecedented hetero-structures. This should provide significant benefits, such as in generating new processes and products for advanced manufacturing. Read moreRead less
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.
On-Chip Detection and Molecular Fingerprinting of Emerging Toxicants. The project aims to address key questions about the development and integration of advanced materials and functional molecules into cutting-edge analytical tools for screening emerging environmental pollutants. This is expected to generate fundamental and applied knowledge in analytical chemistry, using an interdisciplinary approach to engineer materials with precisely tailored properties for ultra-sensitive and selective dete ....On-Chip Detection and Molecular Fingerprinting of Emerging Toxicants. The project aims to address key questions about the development and integration of advanced materials and functional molecules into cutting-edge analytical tools for screening emerging environmental pollutants. This is expected to generate fundamental and applied knowledge in analytical chemistry, using an interdisciplinary approach to engineer materials with precisely tailored properties for ultra-sensitive and selective detection of extremely persistent toxicants in water. Anticipated outcomes are optical materials and functional molecules, integrated into lab-on-a-chip platforms with advanced features for real-life environmental applications – with significant benefits for addressing major environmental and health treats to our society.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.
Microchip Impedance Biosensor for Biomedical Diagnostics. This research proposal uses an innovative engineering approach based on novel nanomaterials with the aim of developing a new and generic biosensing technology with the potential to be widely applied in many areas including medical diagnostics, environmental control, industry and biosecurity. The outcomes from this project will benefit Australia by contributing through the development of novel materials, new technologies and new devices. ....Microchip Impedance Biosensor for Biomedical Diagnostics. This research proposal uses an innovative engineering approach based on novel nanomaterials with the aim of developing a new and generic biosensing technology with the potential to be widely applied in many areas including medical diagnostics, environmental control, industry and biosecurity. The outcomes from this project will benefit Australia by contributing through the development of novel materials, new technologies and new devices. The development of technological innovations based on fabricated nanomaterials, will also enhance capacity in frontier technology such as nanotechnology, and build Australia’s strength in using new biosensing technologies.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100146
Funder
Australian Research Council
Funding Amount
$800,000.00
Summary
Ultra high vacuum scanning probe microscope facility. Ultra high-vacuum scanning tunneling microscopy underpins advances in the understanding of novel materials for electronics, engineering and medical applications, including thin-films, nanostructures, advanced semiconductors, nanostructured (organic or inorganic) conductors, and nanoscale interfaces (heteronanostructures). It is a core technique underpinning the new Superscience agenda in Future Technologies. A number of present and future re ....Ultra high vacuum scanning probe microscope facility. Ultra high-vacuum scanning tunneling microscopy underpins advances in the understanding of novel materials for electronics, engineering and medical applications, including thin-films, nanostructures, advanced semiconductors, nanostructured (organic or inorganic) conductors, and nanoscale interfaces (heteronanostructures). It is a core technique underpinning the new Superscience agenda in Future Technologies. A number of present and future research fields will benefit from the presence of this instrument, which will enhance Australia's competitiveness in nanotechnology research and development. Training of PhD and graduate students in this area is essential to exploit the potentiality of nanotechnology for the future benefit of Australia.Read moreRead less
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.