Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia ....Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.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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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100157
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
Confocal and single molecule microscopes for systems microscopy. This project aims to establish Australia’s first system microscopy facility with dedicated live-cell confocal and single-molecule fluorescence microscopes. In systems microscopy, the imaging workflow is automated so that large and unbiased data sets of the spatiotemporal organisation of molecules and cells can be generated. Combined with statistical and bioinformatics analyses, image-derived data provides system-wide information th ....Confocal and single molecule microscopes for systems microscopy. This project aims to establish Australia’s first system microscopy facility with dedicated live-cell confocal and single-molecule fluorescence microscopes. In systems microscopy, the imaging workflow is automated so that large and unbiased data sets of the spatiotemporal organisation of molecules and cells can be generated. Combined with statistical and bioinformatics analyses, image-derived data provides system-wide information that is not easily obtainable with other approaches. The project will enable Australian researchers to image and analyse the full complexity of biological systems, potentially transforming cell biology, drug development and understanding the molecular basis of disease. It will also demonstrate how the capacity of microscopy facilities can be enhanced and bias in imaging data reduced by automating data acquisition and mining of image-based data.Read moreRead less
Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising ap ....Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising approach, but its accuracy is far from satisfactory. The software systems developed in this project will be used in structural identification of target proteins in drug design. This will make drug design process more efficient, saving time and cost, potentially saving lives.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less
The MYB gene as a model for global transcriptional regulation: stopping, starting and looping. This project will study how transcriptional elongation controls the MYB gene, a key regulator of normal and cancerous growth and regulation. There are three major benefits that are likely to flow from the proposed research It will strengthen research in new and important areas of transcriptional regulation, by building research capacity in Australia in the area of gene expression, particularly with res ....The MYB gene as a model for global transcriptional regulation: stopping, starting and looping. This project will study how transcriptional elongation controls the MYB gene, a key regulator of normal and cancerous growth and regulation. There are three major benefits that are likely to flow from the proposed research It will strengthen research in new and important areas of transcriptional regulation, by building research capacity in Australia in the area of gene expression, particularly with respect to transcriptional elongation and long-range regulation. It will highlight a new approach to the therapeutic targeting of MYB in cancer: data generated from this research may enable us to target MYB expression in a range of cancers including breast cancer by inhibiting transcriptional elongation. And it will provide training in advanced molecular biology to postdoctoral scientists and students.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH130200031
Funder
Australian Research Council
Funding Amount
$3,273,780.00
Summary
ARC Research Hub for Advanced Technologies for Australian Iron Ore. ARC Research Hub for Advanced Technologies for Australian Iron Ore. This Research Hub aims to bring together three world-class groups covering fine particle beneficiation, raw materials handling, and iron ore characterisation to address the complex issues that arise from the different ore types that have emerged in recent years. This Research Hub will focus on the development and adoption of advanced beneficiation and handling t ....ARC Research Hub for Advanced Technologies for Australian Iron Ore. ARC Research Hub for Advanced Technologies for Australian Iron Ore. This Research Hub aims to bring together three world-class groups covering fine particle beneficiation, raw materials handling, and iron ore characterisation to address the complex issues that arise from the different ore types that have emerged in recent years. This Research Hub will focus on the development and adoption of advanced beneficiation and handling technologies into iron ore mining operations, and new knowledge for informing producers and end-users, while providing the training for a new generation of research leaders.Read moreRead less
Special Research Initiatives - Grant ID: SR0354693
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in ....Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in other RNs linking to their motivating applications, enhancing prospects for research and integration. They participate in the APAC Grid program, leveraging 75 HPC staff nationally. A key aim is interoperability with "real-world Grids": eg e-learning & e-health programs.Read moreRead less