Development of an implantable device to monitor lactate levels in blood: Monitoring the Performance of Australian athletes using Biosensor Technology. Sport is a critical area for social and economic investments. Novel medical monitoring systems using implantable biosensors will ensure optimal training programs for Australian athletes and maintain international competitiveness. Here we are developing a biosensor for real-time monitoring of lactate levels in athletes using frontier porous semicon ....Development of an implantable device to monitor lactate levels in blood: Monitoring the Performance of Australian athletes using Biosensor Technology. Sport is a critical area for social and economic investments. Novel medical monitoring systems using implantable biosensors will ensure optimal training programs for Australian athletes and maintain international competitiveness. Here we are developing a biosensor for real-time monitoring of lactate levels in athletes using frontier porous semiconductor technology and smart telemetry protocols to transfer the readings to a remote base unit. These highly innovative devices and the materials that they are made from have enormous commercial potential in biomedical engineering. There is a strong potential for Australia to have an important stake in this area by combining expertise in engineering, chemistry and nanostructured materials.Read moreRead less
A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword ....A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword search, subgraph isomorphism and substructure query techniques. This project is expected to significantly accelerate the application of new technologies, for example, big data analytics and Internet of Things, in many of Australia's critical domains such as e-Health, smart cities, and cybersecurity.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH170100013
Funder
Australian Research Council
Funding Amount
$2,962,655.00
Summary
ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed device ....ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed devices, analytics and integration platforms. New jobs and improved care will see cost reductions, better use of resources and enhanced mental, physical and social well-being.Read moreRead less
Model-based error location in Java programs. The construction of modern software requires extensive testing and
debugging in addition to using appropriate specification, design, and
verification techniques. Testing and debugging are very time-consuming
and costly, drawing - according to recent articles - "typically 50%
or more of the resources for software projects''. By providing a new,
flexible approach to the debugging of complex software, this project
offers the potential of significant cost ....Model-based error location in Java programs. The construction of modern software requires extensive testing and
debugging in addition to using appropriate specification, design, and
verification techniques. Testing and debugging are very time-consuming
and costly, drawing - according to recent articles - "typically 50%
or more of the resources for software projects''. By providing a new,
flexible approach to the debugging of complex software, this project
offers the potential of significant cost savings, highly beneficial to
the ICT industry. Lessons learned from the demonstration prototype,
can be directly carried over into commercial tool development. In
addition, the project strengthens links to high quality European
research laboratories.Read moreRead less
Model-based error location in concurrent software. The construction of modern software requires extensive testing and debugging in addition to using appropriate specification, design, and verification techniques. Testing and debugging are very time-consuming and costly, drawing - according to recent articles - ``typically 50\% or more of the resources for software projects''. By extending the power of a new, flexible debugging approach, this project offers the potential of significant cost savin ....Model-based error location in concurrent software. The construction of modern software requires extensive testing and debugging in addition to using appropriate specification, design, and verification techniques. Testing and debugging are very time-consuming and costly, drawing - according to recent articles - ``typically 50\% or more of the resources for software projects''. By extending the power of a new, flexible debugging approach, this project offers the potential of significant cost savings, highly beneficial to any industry with a significant ICT component, e.g., defense. Lessons learned from the demonstration prototype, can be directly carried over into commercial tool development. The project strengthens links to high quality European research laboratories.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100153
Funder
Australian Research Council
Funding Amount
$361,446.00
Summary
Automatically summarising and measuring software development activity. This project aims to create technologies for automatically repackaging, interpreting, and aggregating software development activity. The project will devise new natural-language summarisation approaches and productivity metrics that use all data available in a software repository. This is likely to lead to knowledge and tools that allow organisations to quickly integrate new developers into existing software projects, to impr ....Automatically summarising and measuring software development activity. This project aims to create technologies for automatically repackaging, interpreting, and aggregating software development activity. The project will devise new natural-language summarisation approaches and productivity metrics that use all data available in a software repository. This is likely to lead to knowledge and tools that allow organisations to quickly integrate new developers into existing software projects, to improve project awareness, and to increase productivity goals. The outcomes would include a comprehensive decision and awareness support system for software projects, based on automating the creation and continual updating of developer activity summaries and measures.Read moreRead less
Porous silicon biosensor for rapid detection of water-borne contaminants. We have recently demonstrated the rapid degradation of porous silicon by certain transition metal complexes known as biomimetic catalysts. The catalysed degradation forms the basis of a new sensor principle where the porous layer serves as matrix, transducer and signal amplification stage. Using this mechanism, we will develop a biosensor for the rapid detection of contaminants (toxins etc.) in water resources. Reservoir w ....Porous silicon biosensor for rapid detection of water-borne contaminants. We have recently demonstrated the rapid degradation of porous silicon by certain transition metal complexes known as biomimetic catalysts. The catalysed degradation forms the basis of a new sensor principle where the porous layer serves as matrix, transducer and signal amplification stage. Using this mechanism, we will develop a biosensor for the rapid detection of contaminants (toxins etc.) in water resources. Reservoir water treatment today is reactive rather than preventive because current analysis is slow. Our biosensor can be turned into a field kit to improve water quality management and prevent acts of deliberate sabotage to the water supply.Read moreRead less
Three-dimensional magnetotelluric and controlled-source electromagnetic modelling and inversion in isotropic and anisotropic media with Gaussian Quadrature Grids. Electromagnetic methods are widely used by geophysicists in many applications, including mineral, petroleum and geothermal exploration, environmental and groundwater characterisation, and in imaging of Earth and other planets. Large data-sets are routinely collected, but to interpret these carefully we need efficient computer modellin ....Three-dimensional magnetotelluric and controlled-source electromagnetic modelling and inversion in isotropic and anisotropic media with Gaussian Quadrature Grids. Electromagnetic methods are widely used by geophysicists in many applications, including mineral, petroleum and geothermal exploration, environmental and groundwater characterisation, and in imaging of Earth and other planets. Large data-sets are routinely collected, but to interpret these carefully we need efficient computer modelling tools that incorporate the complexity of the subsurface. We will develop a new computer algorithm that uses an innovative approach to model the Earth in three dimensions. Computer codes will be available through the national AuScope infrastructure facilities, so that researchers will have free access to algorithms, largely for the first time, to better interpret their data.Read moreRead less
Development of an interferometric nanoscale silicon biosensor. Voelcker et al. have recently demonstrated the rapid degradation of porous silicon by certain supramolecular transition metal complexes known as functional mimics of metalloproteins. The catalyzed degradation forms the basis of a new sensor principle where the porous layer serves as matrix, transducer and signal amplification stage. This project uses porous silicon degradation to develop a biosensor platform capable of detecting a ra ....Development of an interferometric nanoscale silicon biosensor. Voelcker et al. have recently demonstrated the rapid degradation of porous silicon by certain supramolecular transition metal complexes known as functional mimics of metalloproteins. The catalyzed degradation forms the basis of a new sensor principle where the porous layer serves as matrix, transducer and signal amplification stage. This project uses porous silicon degradation to develop a biosensor platform capable of detecting a range of analytes with high sensitivity. The project includes detection of an water-borne toxin, a plant virus and a cancer antigen as demonstrators of its wide applicability. Multiplexing of the biosensor to demonstrate its potential as high-throughput chip sensors is also included.Read moreRead less
Efficient data mining methods for evidence-based decision making. This project aims to develop efficient data mining methods for causal predictions. Evidence-based decision making (EBD), such as evidence-based medicine and policy, is always preferable. To support EBD, causal predictions forecast how outcomes change when conditions are manipulated. Progress has been made in theoretical research on causal inference based on observational data, but few methods can automatically mine causal signals ....Efficient data mining methods for evidence-based decision making. This project aims to develop efficient data mining methods for causal predictions. Evidence-based decision making (EBD), such as evidence-based medicine and policy, is always preferable. To support EBD, causal predictions forecast how outcomes change when conditions are manipulated. Progress has been made in theoretical research on causal inference based on observational data, but few methods can automatically mine causal signals from the data and methods for efficient causal predictions based on data are even fewer. This project will apply its methods to biomedical problems. The outcomes could support smart and data-driven evidence based decision making in many areas, such as therapeutics and government policy making.Read moreRead less