Discovery Early Career Researcher Award - Grant ID: DE170101081
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis t ....Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis to efficiently and precisely analyse large-scale programs according to clients’ needs, thereby allowing compilers to generate safe, reliable and secure code. This project is expected to advance value-flow analysis for industrial-sized software, improve software reliability and security, and benefit Australian software systems and industries.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less
Special Research Initiatives - Grant ID: SR0567658
Funder
Australian Research Council
Funding Amount
$100,000.00
Summary
A cross-disciplinary collaboration to develop a national system for real-time detection of Adverse Drug Reactions using linked Australian health data. Our aim is to use existing administrative health data in the evidence-based, cost-effective and privacy-respecting discovery of Adverse Drug Reactions. This research is of vital importance, since adverse reactions to medicines currently represent one of the leading causes of hospitalisation and death in Australia. In a groundbreaking collaboration ....A cross-disciplinary collaboration to develop a national system for real-time detection of Adverse Drug Reactions using linked Australian health data. Our aim is to use existing administrative health data in the evidence-based, cost-effective and privacy-respecting discovery of Adverse Drug Reactions. This research is of vital importance, since adverse reactions to medicines currently represent one of the leading causes of hospitalisation and death in Australia. In a groundbreaking collaboration, we have successfully shown that large linked, administrative data sets are sufficiently rich to enable discovery of adverse drug reactions, but our analytic tools are at an early developmental stage. The outcome of this project would be innovative, effective and sustainable analytic tools for the discovery of unexpected associations between drugs and medical events.Read moreRead less
Improving Modern Programming Language Performance: A Memory-Conscious Approach. The performance of modern programming languages such as Java and C# lags that of imperative languages such as C and Fortran. A significant source of the performance gap is poor memory behavior, which future computer architectures will exacerbate. This project addresses the problem of poor memory behavior in modern programming languages such as Java and C# through an integrated attack that incorporates new garbage c ....Improving Modern Programming Language Performance: A Memory-Conscious Approach. The performance of modern programming languages such as Java and C# lags that of imperative languages such as C and Fortran. A significant source of the performance gap is poor memory behavior, which future computer architectures will exacerbate. This project addresses the problem of poor memory behavior in modern programming languages such as Java and C# through an integrated attack that incorporates new garbage collection algorithms, run-time techniques that optimize running programs, and new compiler analyses with both static and dynamic optimizations. The project will give Australia an
international presence in a research area of great academic and commercial importance.
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Special Research Initiatives - Grant ID: SR0567298
Funder
Australian Research Council
Funding Amount
$98,586.00
Summary
Virtual Observatory for the Study of Online Networks (VOSON). This project is the first stage in establishing the Virtual Observatory for the Study of Online Networks (VOSON) - a Grid-enabled research environment facilitating innovative and collaborative research into the impact of social and political networks on the Internet. In addition to the development of prototype Grid-enabled software that will 'power' VOSON, we will establish international linkages with leading researchers in the UK and ....Virtual Observatory for the Study of Online Networks (VOSON). This project is the first stage in establishing the Virtual Observatory for the Study of Online Networks (VOSON) - a Grid-enabled research environment facilitating innovative and collaborative research into the impact of social and political networks on the Internet. In addition to the development of prototype Grid-enabled software that will 'power' VOSON, we will establish international linkages with leading researchers in the UK and the US who will contribute to software testing and development via a collaborative demonstrator research project. By establishing VOSON 'nodes' at key international research institutions, Australia will take a leading international role in a major e-Social Science research endeavour.Read moreRead less
Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform th ....Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform the outcomes of this project into widely-used software solutions. The project will pave the way for more widespread and reliable evidenced-based computer-aided diagnosis and image-guided treatment. It will produce well-trained and sought-after graduates and research associates with extensive inter-disciplinary knowledge of medical image analysis and high-performance computing.Read moreRead less