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
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
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
Development And Population-based Validation Of Hierarchical Adaptive Mental Health Screeners
Funder
National Health and Medical Research Council
Funding Amount
$391,710.00
Summary
Although 45% of all Australians will experience a lifetime mental disorder, methods to identify mental health problems are inadequate. This project will develop and validate new mental health screening tools, building on a new generation of screeners developed in the US. These screeners will be tailored to the individual, resulting in highly precise and flexible assessment tools. The screeners will be tested in a large community survey, forming the basis for future tailored mental health service ....Although 45% of all Australians will experience a lifetime mental disorder, methods to identify mental health problems are inadequate. This project will develop and validate new mental health screening tools, building on a new generation of screeners developed in the US. These screeners will be tailored to the individual, resulting in highly precise and flexible assessment tools. The screeners will be tested in a large community survey, forming the basis for future tailored mental health services.Read moreRead less
Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to p ....Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to provide these languages with improved memory-management algorithms, and provides researchers and industry with a framework for innovation. This project will enable safe software that is more efficient on today's hardware and able to exploit emerging hardware. This project should lead to better performance and energy savings for server applications, phones, watches, and smart appliances, while ensuring memory safety.Read moreRead less
Risk Stratification Of Older People In Hospital: Validation And Influence On Clinical Decision Making
Funder
National Health and Medical Research Council
Funding Amount
$291,067.00
Summary
Older people in hospital are at high risk of adverse outcomes, a vulnerability commonly referred to as frailty. In community-dwelling older people, frailty status can be measured precisely with a Frailty Index score. This research aims to develop a Frailty Index from a standardised comprehensive geriatric assessment instrument used in the routine care of many patients in hospital. This would assist clinicians to identify vulnerable older inpatients, improving their care in the acute setting.
Prospective Ovarian Cancer Cohort To Authenticate Stratification Of Prognosis In Ovarian Tumours (POCCA-SPOT)
Funder
National Health and Medical Research Council
Funding Amount
$993,580.00
Summary
Ovarian cancer has poor survival, with less than 40% of women surviving 5 years. There is a wide range of survival, but very few characteristics that indicate which patients will do well or poorly. We have developed a tumour test at diagnosis, that can predict prognosis at 5 years. In newly diagnosed cases, we will test tumours to predict prognosis and then determine the accuracy and assess patient acceptability. This study will lead to clinical use of the test and improve treatment decisions.
Designing Radiation-Tolerant Reconfigurable Systems for Space. The processing speed, cost and flexibility requirements of future satellite-based applications cannot be satisfied with conventional radiation-hardened processors or custom integrated circuits. This project aims to develop key technology to enable off-the-shelf hardware to be customised for this use without compromising reliability. The project aims to develop the design methods needed to implement a given set of satellite applicatio ....Designing Radiation-Tolerant Reconfigurable Systems for Space. The processing speed, cost and flexibility requirements of future satellite-based applications cannot be satisfied with conventional radiation-hardened processors or custom integrated circuits. This project aims to develop key technology to enable off-the-shelf hardware to be customised for this use without compromising reliability. The project aims to develop the design methods needed to implement a given set of satellite applications on a processing platform composed of application-specific soft processors and accelerator circuits hosted on conventional reconfigurable logic devices. Crucially, the solution architecture is expected to be sufficiently hardened against radiation-induced errors while meeting performance and circuit area constraints.Read moreRead less