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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100013
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
Nyingarn: a platform for primary sources in Australian Indigenous languages. This project aims to build Nyingarn, an online platform of digital text versions of early Australian Indigenous language manuscripts with images of the original documents. There are over a thousand such documents that are foundational to understanding Australia's languages, and Nyingarn makes textual versions, accessions, and navigates such documents, with a means for adding more in future. Expected outcomes of this pro ....Nyingarn: a platform for primary sources in Australian Indigenous languages. This project aims to build Nyingarn, an online platform of digital text versions of early Australian Indigenous language manuscripts with images of the original documents. There are over a thousand such documents that are foundational to understanding Australia's languages, and Nyingarn makes textual versions, accessions, and navigates such documents, with a means for adding more in future. Expected outcomes of this project are accessible sources useful for educational materials, and for understanding the local language, its history, and its relationship to other languages. Nyingarn will provide cutting-edge methods for ingesting, analysing, and presenting these historical materials, both for research and for the general public.Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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Development and implementation of biodiversity information for sustainable management of South Australian groundwater. Clean potable water is one of the most important resources for human health and a successful economy. Increasingly, subterranean aquifers are used for storage and recovery of water. These aquifers contain dynamic ecosystems, but little is known about species composition or about the importance of the presence of various species for water quality. We will use the latest laborator ....Development and implementation of biodiversity information for sustainable management of South Australian groundwater. Clean potable water is one of the most important resources for human health and a successful economy. Increasingly, subterranean aquifers are used for storage and recovery of water. These aquifers contain dynamic ecosystems, but little is known about species composition or about the importance of the presence of various species for water quality. We will use the latest laboratory techniques and DNA identification methods to provide a template for determining ground water diversity and food web dynamics throughout Australia. This project will lead to a better understanding of how to manage ground water in a sustainable manner.Read moreRead less
Before and after the Last Ice Age: GunaiKurnai archaeology along the Snowy. This project aims to transform our understanding of the deep-time Aboriginal occupation of Victoria's Snowy River landscape, by excavating a network of sites dating back to >52,000 years. This project expects to generate new knowledge in archaeology and palaeoclimatology through partnership research in Gunaikurnai Country. Expected outcomes of this project include unprecedented details of Aboriginal occupation, ritual in ....Before and after the Last Ice Age: GunaiKurnai archaeology along the Snowy. This project aims to transform our understanding of the deep-time Aboriginal occupation of Victoria's Snowy River landscape, by excavating a network of sites dating back to >52,000 years. This project expects to generate new knowledge in archaeology and palaeoclimatology through partnership research in Gunaikurnai Country. Expected outcomes of this project include unprecedented details of Aboriginal occupation, ritual installations, wooden artefacts, ancient human DNA, use of deep caves and open landscapes, and economic strategies dating back to the Last Ice Age and beyond. This should provide significant benefits in community research, greater social understandings of Aboriginal connections with Country, and a more inclusive 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.
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
ARC Australia-New Zealand Research Network for Vegetation Function. Plant species vary widely in quantitative functional traits, and in their relations to climate, soils and geography. Global generalizations are emerging. Vegetation Function network will reach from plant function into genomics and crop breeding, into palaeoecology and vegetation history, into landscape management for carbon, water and salinity outcomes, into forecasting future ecosystems under global change, and into phylogeny, ....ARC Australia-New Zealand Research Network for Vegetation Function. Plant species vary widely in quantitative functional traits, and in their relations to climate, soils and geography. Global generalizations are emerging. Vegetation Function network will reach from plant function into genomics and crop breeding, into palaeoecology and vegetation history, into landscape management for carbon, water and salinity outcomes, into forecasting future ecosystems under global change, and into phylogeny, ecoinformatics and evolutionary theory. Across this span, working groups will target nine identified opportunities for breakthrough research. Each research target needs input from two or more disciplines. Together, the nine targets link across disciplines, as a network that spans from genomic to planetary scales.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.