A high throughput Grid based environment for real time bio-medical imaging. Together with Leica, we will build a virtual microscope facility that will provide substantial functionality not currently available in Australia. This facility will have major national and international impact on bio-medical imaging. The software solutions and infrastructure, developed as part of this program will have considerable commercial and strategic value in their own right. One guaranteed avenue for exploitation ....A high throughput Grid based environment for real time bio-medical imaging. Together with Leica, we will build a virtual microscope facility that will provide substantial functionality not currently available in Australia. This facility will have major national and international impact on bio-medical imaging. The software solutions and infrastructure, developed as part of this program will have considerable commercial and strategic value in their own right. One guaranteed avenue for exploitation of the software will clearly be through our industry partner, Leica. Importantly, our proposal consolidates a critical mass of expertise connecting biomedical with computer science, thereby addressing a well-recognised constraint that to date has limited their national and international impact.Read moreRead less
Micropapillary Adenocarcinoma: The Emergence Of A Discrete Lung Cancer Phenotype And Its Genomic And Transcriptomic Characterization.
Funder
National Health and Medical Research Council
Funding Amount
$117,565.00
Summary
I believe I can describe a new subtype of lung cancer, which has never been classified by the World Health Organization. This has been previously mis-classified or simply ignored. My hypothesis is that this is a distinct disease by virtue of patterns of genetic abnormalities as well as features visible under the microscope. I also believe it is one of the most aggressive cancers and needs new treatments.
Biocompatible Gadolinium-free Contrast Agents For Molecular Targeted MR Imaging
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
Building on the biomedical engineering of USPIOs, this project expects to generate new probing tools for non-invasive molecular imaging and affect subsequent clinical imaging through earlier and more accurate diagnosis of diseases. The project will allow the delivery of new knowledge in the emerging field of nanomedicine with high clinical translation potentials.
Rapid, Point Of Care Diagnostic Tests To Differentiate HA Subtypes In Patients Samples
Funder
National Health and Medical Research Council
Funding Amount
$168,293.00
Summary
A number of rapid, point-of-care tests are available for the detection of human and avian influenza types, but they vary greatly in sensitivity. In particular, these tests are based on current strains of H5 (avian) influenza, and may be unable to detect variant or pandemic strains, and negative results can give the false impression that patients do not have H5 influenza. We will develop rapid, point-of-care tests based on highly conserved parts of the virus, so that all H5 strains (current and f ....A number of rapid, point-of-care tests are available for the detection of human and avian influenza types, but they vary greatly in sensitivity. In particular, these tests are based on current strains of H5 (avian) influenza, and may be unable to detect variant or pandemic strains, and negative results can give the false impression that patients do not have H5 influenza. We will develop rapid, point-of-care tests based on highly conserved parts of the virus, so that all H5 strains (current and future) can be detected with equal sensitivity, along with the H1 and H3 strains that are currently found in man to provide a definitive diagnosis. These tests will be valuable in the identification and differentiation of pandemic influenza cases, allowing better use of public health resources, especially against a background of continuing standard (H1 and H3) influenza infections.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100473
Funder
Australian Research Council
Funding Amount
$410,154.00
Summary
Effective integration of human and automated analyses for security testing. This DECRA project aims to significantly improve the performance of current state-of-the-art automated security testing approaches, enabling them to discover more security bugs in strict time constraints. The key innovation of the project is its novel way to embrace human element to leverage the ingenuity of the developers. This project will help companies improve the security and reliability of their products, thwarting ....Effective integration of human and automated analyses for security testing. This DECRA project aims to significantly improve the performance of current state-of-the-art automated security testing approaches, enabling them to discover more security bugs in strict time constraints. The key innovation of the project is its novel way to embrace human element to leverage the ingenuity of the developers. This project will help companies improve the security and reliability of their products, thwarting cyberattacks that cost Australian business $29 billion each year. The knowledge from this project will be transferred and integrated into higher education subjects to train the next generations of software developers, who are responsible to build security-critical systems that we all rely on now and in the future.Read moreRead less
Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – w ....Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – what the data means and what it can be used for – with sophisticated, scalable computational techniques to mine and present information from the huge volumes of raw data. This project is expected to improve productivity and quality of big data analytics and visualisation in critical domains.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100040
Funder
Australian Research Council
Funding Amount
$442,302.00
Summary
Quality Assurance of Mobile Applications by Effective Testing and Repair. This project aims to create advanced techniques that will enable software engineers to effectively develop quality assured and robust software systems. This project expects to generate new and innovative approaches that automate software testing and repair. The expected outcomes of this project include new knowledge of software engineering, development of an automated and cost-effective testing system with improved coverag ....Quality Assurance of Mobile Applications by Effective Testing and Repair. This project aims to create advanced techniques that will enable software engineers to effectively develop quality assured and robust software systems. This project expects to generate new and innovative approaches that automate software testing and repair. The expected outcomes of this project include new knowledge of software engineering, development of an automated and cost-effective testing system with improved coverage, greater bug detection and repair, and faster testing protocols. This should provide significant benefits to software users by providing reliable and user-friendly systems and to software companies to position Australia as a global leader in software development and technological advancement.Read moreRead less
Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. Th ....Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. The success of this project will further enhance the international competitiveness of Australian research in this important field and will benefit any Australian industry and business where software systems are deeply-rooted, such as transportation, smart homes, medical devices, defence and finance.Read moreRead less
Metamorphic slices and their applications in fault localization. The main purpose of this project is to enhance the quality of software. The expected outcomes include the delivery of new cost-effective methods to debug software, and the extension of current debugging methods to be applicable in wider contexts.