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
Measurement and imaging of pathogenic and diagnostic iron oxide nanoparticles using proton magnetic resonance. This project is likely to result in new and improved technologies to aid in the management and diagnosis of a range of diseases including iron metabolism disorders such as thalassaemia and neurodegenerative diseases such as Alzheimer's disease. Other aspects of the research may lead to technologies for the early detection of some cancers. The technologies will enhance Australia's intern ....Measurement and imaging of pathogenic and diagnostic iron oxide nanoparticles using proton magnetic resonance. This project is likely to result in new and improved technologies to aid in the management and diagnosis of a range of diseases including iron metabolism disorders such as thalassaemia and neurodegenerative diseases such as Alzheimer's disease. Other aspects of the research may lead to technologies for the early detection of some cancers. The technologies will enhance Australia's international standing in the field of advanced medical imaging and have the potential to be commercialised within the Australian biotechnology sector. During the project, research students will receive high quality multidisciplinary training ensuring the supply of personnel with high-level technical expertise into the future.Read moreRead less
Coproantigen detection tests for diagnosis of intestinal parasitic nematode infection. The aim of this project is to develop new tests for detection of hookworm and Strongyloides, two common intestinal worm infections of humans. These tests offer the potential to replace current tests, namely stool microscopy and serodiagnosis, both of whose performance is unsatisfactory due to deficiencies in sensitivity, specificity and operator convenience. The tests will rely on monoclonal antibodies to dete ....Coproantigen detection tests for diagnosis of intestinal parasitic nematode infection. The aim of this project is to develop new tests for detection of hookworm and Strongyloides, two common intestinal worm infections of humans. These tests offer the potential to replace current tests, namely stool microscopy and serodiagnosis, both of whose performance is unsatisfactory due to deficiencies in sensitivity, specificity and operator convenience. The tests will rely on monoclonal antibodies to detect parasite products in stool. Such testing technology is amenable to configuration in a robust format, suitable for large-scale manufacture. Given the worldwide prevalence of these parasites, the tests will have a market potential of international significance.Read moreRead less
Ontology Based Multisite Distributed Software Development. Increasingly clients in cities are developing software overseas or in regional centres. The participating companies have found existing centralized software engineering techniques inadequate for multisite development. This project produces new principles and techniques for multisite distributed software development. Thus it proposes a new methodology, a new project management approach, a new workflow tracking technique and a new concept ....Ontology Based Multisite Distributed Software Development. Increasingly clients in cities are developing software overseas or in regional centres. The participating companies have found existing centralized software engineering techniques inadequate for multisite development. This project produces new principles and techniques for multisite distributed software development. Thus it proposes a new methodology, a new project management approach, a new workflow tracking technique and a new concept of software object/component that allows differentiated access. A platform is also developed for use in field studies for validation and benchmarking. The results will help Australia become a provider of software services for international clients and permit devolution to regional centres.Read moreRead less
The Relevance of the Bovine Major Histocompatibility Complex (MHC) to Milk Production. The objective of this project is to provide the dairy industry with an integrated package that includes a ?dairy performance database? linked to DNA-based information to complement existing breeding practices. Our intention is increase the profitability of the dairy industry, hence making a dairy farm a sustainable venture in a deregulated environment. Profitability results from a combination of several fact ....The Relevance of the Bovine Major Histocompatibility Complex (MHC) to Milk Production. The objective of this project is to provide the dairy industry with an integrated package that includes a ?dairy performance database? linked to DNA-based information to complement existing breeding practices. Our intention is increase the profitability of the dairy industry, hence making a dairy farm a sustainable venture in a deregulated environment. Profitability results from a combination of several factors. The drivers of the industry include political, market, environmental, husbandry, nutrition, and genetic factors. These factors are interrelated. In this proposal, we are specifically interested in the relationship between milk yields and the DNA profile of dairy cattle.Read moreRead less
Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. Th ....Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. The enabling methodology from this project for building computerised cognitive learning systems will be a frontier technology to enhance smart information use in clinical decision support. It will also contribute to the development of knowledge-based systems. A network version of the developed system will assist doctors working in rural and remote areas with their clinical decision making and prescribing practice.Read moreRead less
Optimisation of cell culture and molecular typing for the characterisation of Cryptosporidium in water. Cryptosporidium is an important waterborne agent of diarrhoeal disease in people and animals. Improved methods for accurately detecting viable parasite stages recovered from water are a priority research need for the water industry. They are dependent upon improved in vitro cultivation procedures that can be combined with DNA-based assays for identifying species and strains of Cryptosporidi ....Optimisation of cell culture and molecular typing for the characterisation of Cryptosporidium in water. Cryptosporidium is an important waterborne agent of diarrhoeal disease in people and animals. Improved methods for accurately detecting viable parasite stages recovered from water are a priority research need for the water industry. They are dependent upon improved in vitro cultivation procedures that can be combined with DNA-based assays for identifying species and strains of Cryptosporidium and closely related protozoa recovered from freshwater. This project addresses these needs in a collaborative study between scientists at Murdoch University with expertise in both in vitro cultivation and genetic characterisation of Cryptosporidium, and scientists from two of the major water utilities in Australia.Read moreRead less
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
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