Industrial Transformation Training Centres - Grant ID: IC140100022
Funder
Australian Research Council
Funding Amount
$2,148,935.00
Summary
ARC Training Centre for Portable Analytical Separation Technologies. ARC Training Centre for Portable Analytical Separation Technologies. Portable analytical separation systems will enable point-of sample analysis for complex samples in food, environmental and clinical applications. The Training Centre aims to train the next generation of industry-ready Australian researchers through creating a sustainable research partnership between university-based researchers and Australian industry focused ....ARC Training Centre for Portable Analytical Separation Technologies. ARC Training Centre for Portable Analytical Separation Technologies. Portable analytical separation systems will enable point-of sample analysis for complex samples in food, environmental and clinical applications. The Training Centre aims to train the next generation of industry-ready Australian researchers through creating a sustainable research partnership between university-based researchers and Australian industry focused on developing new capabilities and technologies that have the potential to facilitate, support, or catalyse the progressive deployment of portable separation science technologies into society. This will enable the development of new, portable and affordable analytical separation systems and contribute to creating a sustainable, globally competitive manufacturing industry in Australia.Read moreRead less
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Lectin based open tubular micro-reactors for probing protein-protein binding. This project seeks to develop non-invasive technology for the measurement and quantitation of lectin-carbohydrate binding events, in the first instance glycopeptides and glycoproteins. The goal is not only to provide accurate protein-protein association and dissociation constant data within the developed system, but to do so within an enclosed micro-fluidic environment, with the added advantages of also providing ‘trap ....Lectin based open tubular micro-reactors for probing protein-protein binding. This project seeks to develop non-invasive technology for the measurement and quantitation of lectin-carbohydrate binding events, in the first instance glycopeptides and glycoproteins. The goal is not only to provide accurate protein-protein association and dissociation constant data within the developed system, but to do so within an enclosed micro-fluidic environment, with the added advantages of also providing ‘trap and release’ extraction capabilities, and being easily coupled to both chromatographic and mass spectrometry systems. Read moreRead less
Miniaturised electrophoretic systems for distributed environmental sensing. This project aims to develop new low-cost sensors to quantify a range of water nutrients for continuous automated water monitoring. The project aims to design a microfluidic cartridge to obtain a particulate-free sample for analysis by the rapid separation of inorganic anions and cations. The cartridge is intended to be operated in a portable low cost, low weight, low power instrument. The deployment of multiple units ai ....Miniaturised electrophoretic systems for distributed environmental sensing. This project aims to develop new low-cost sensors to quantify a range of water nutrients for continuous automated water monitoring. The project aims to design a microfluidic cartridge to obtain a particulate-free sample for analysis by the rapid separation of inorganic anions and cations. The cartridge is intended to be operated in a portable low cost, low weight, low power instrument. The deployment of multiple units aims to provide a continuous data stream describing the changes in nutrient profiles within various waters, to feed into environmental models and inform best practice for agriculture and aquaculture industries.Read moreRead less
Ring constructions and algorithms for enhancing performance of BCH codes. BCH codes form a major class of codes used in modern communication systems. The aim of this project is to enhance the efficiency of this class of codes by combining them in constructions enabling correction of deletion and insertion errors, and develop efficient implementations of encoding and decoding algorithms incorporating soft decision methods for enhanced error correction. Significance of the project is explained by ....Ring constructions and algorithms for enhancing performance of BCH codes. BCH codes form a major class of codes used in modern communication systems. The aim of this project is to enhance the efficiency of this class of codes by combining them in constructions enabling correction of deletion and insertion errors, and develop efficient implementations of encoding and decoding algorithms incorporating soft decision methods for enhanced error correction. Significance of the project is explained by the role of fast, secure and reliable communications in modern information and communication technology. Expected outcomes include new efficient algorithms and commercial modules available for symbolic computation systems with applications in telecommunications industry.
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Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.Read moreRead less
Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching f ....Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching for ecological patterns on a national scale that would be difficult to identify using traditional approaches tuned to process-scale studies. Australian society stands to benefit by virtue of improved large-scale models of ecosystem function and reduced cost for conducting marine ecosystem investigations.Read moreRead less
Powerful knowledge: mapping out standards of teachers' knowledge for teaching mathematics and English to achieve the goals of the curriculum. Setting standards is an important step to raising teacher quality. This project will establish benchmarks for teachers' knowledge at all levels of schooling in two key areas of the curriculum: English and mathematics.
Modelling with data: Advancing STEM in the primary curriculum. Improving the nation's skills in Science, Technology, Engineering, and Mathematics (STEM) remains a continuing concern, especially given the decline in international test results. The project aims to introduce a new approach to promoting this learning across grades 3-6 through modelling with data. With a focus on inquiry processes involving data variation and uncertainty within STEM-based contexts, the project aims to develop the imp ....Modelling with data: Advancing STEM in the primary curriculum. Improving the nation's skills in Science, Technology, Engineering, and Mathematics (STEM) remains a continuing concern, especially given the decline in international test results. The project aims to introduce a new approach to promoting this learning across grades 3-6 through modelling with data. With a focus on inquiry processes involving data variation and uncertainty within STEM-based contexts, the project aims to develop the important mathematical and statistical literacies needed for lifting student achievements. In advancing both theory and practice, the project aims to contribute to knowledge of primary students' capabilities for STEM problem solving and ways of enhancing implementation of the Australian Curriculum.Read moreRead less
The endangered swift parrot as a model for managing small migratory birds. Endangered swift parrots use variable locations while breeding in eastern Tasmania and over winter on the Australian mainland. This project aims to develop effective conservation strategies for swift parrots and other migrants using new and long term data and innovative technological solutions to tracking small birds across vast landscapes.