Micro Virtual Machines: Abstraction, contained. This project will address a systemic source of inefficiency in widely used software which leads to many programs running as much as ten times slower and using considerably more energy than necessary, shortening battery life on mobile phones and increasing costs for large server farms. This inefficiency is endemic because it is due to the underlying languages rather than the particular software. This project will address this problem by developing a ....Micro Virtual Machines: Abstraction, contained. This project will address a systemic source of inefficiency in widely used software which leads to many programs running as much as ten times slower and using considerably more energy than necessary, shortening battery life on mobile phones and increasing costs for large server farms. This inefficiency is endemic because it is due to the underlying languages rather than the particular software. This project will address this problem by developing a high efficiency substrate, called a micro virtual machine, on which languages may be built.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
Discovery Early Career Researcher Award - Grant ID: DE200100941
Funder
Australian Research Council
Funding Amount
$392,778.00
Summary
Practical and Explainable Analytics to Prevent Future Software Defects. This project aims to create technologies that enable software engineers to produce the highest quality software systems with the lowest costs, by preventing future defects in safety-critical systems that could result in death and disasters. Expected outcomes of this project include new theories, techniques, and analytics systems to assist software engineers accurately predict, explain, and prevent future software defects bef ....Practical and Explainable Analytics to Prevent Future Software Defects. This project aims to create technologies that enable software engineers to produce the highest quality software systems with the lowest costs, by preventing future defects in safety-critical systems that could result in death and disasters. Expected outcomes of this project include new theories, techniques, and analytics systems to assist software engineers accurately predict, explain, and prevent future software defects before they impact end users. This should provide significant benefits including accelerating the productivity of the software industry while preventing software defects in many critical domains including smart city and e-health applications.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100021
Funder
Australian Research Council
Funding Amount
$413,665.00
Summary
An Intelligent Programmer’s Assistant Using Data Mining. This project aims to advance the important practice of pair programming in software engineering via software repository mining and create automated support tools. This project expects to use innovative techniques combining artificial intelligence, programming analysis and software analytics, to help software developers review code, fix bugs and implement new features. Expected outcomes of this project include an intelligent programmer’s as ....An Intelligent Programmer’s Assistant Using Data Mining. This project aims to advance the important practice of pair programming in software engineering via software repository mining and create automated support tools. This project expects to use innovative techniques combining artificial intelligence, programming analysis and software analytics, to help software developers review code, fix bugs and implement new features. Expected outcomes of this project include an intelligent programmer’s assistant, consisting of a set of automated tools, covering software development, testing and maintenance. This should provide significant benefits to the Australian software development industry by improving developers’ productivity and reduce overall project costs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101091
Funder
Australian Research Council
Funding Amount
$402,160.00
Summary
Data-Driven Code Reviews for Cost-Effective Software Quality Assurance. This DECRA project aims to create advanced techniques that will enable software engineers to effectively assure the highest quality of software systems with minimal cost through data-driven recommendations. The current standard practices in software quality assurance involve the manual and tedious process of code review, which can lead to high costs and cause severe delays in software development. The expected outcomes of th ....Data-Driven Code Reviews for Cost-Effective Software Quality Assurance. This DECRA project aims to create advanced techniques that will enable software engineers to effectively assure the highest quality of software systems with minimal cost through data-driven recommendations. The current standard practices in software quality assurance involve the manual and tedious process of code review, which can lead to high costs and cause severe delays in software development. The expected outcomes of this project include new theories, techniques, and an automated system that provides insightful feedback, suitable reviewer recommendations, and fine-grained effort prioritisation. Significant benefits are expected to improve the production of Australia's software and the quality of safety-critical software systems.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
Radio-magnetic nanoparticles as bimodal positron emission tomography/magnetic resonance imaging contrast agents for dendritic cell tracking. Biomedical imaging is limited by a lack of commercial dual-mode contrast agents, which may be simultaneously used for magnetic resonance (MR) and positron emission tomography (PET) imaging. This project will develop a nanotechnology-based biocompatible dual-mode contrast agent for simultaneous PET and MR imaging, reducing associated side effects.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100043
Funder
Australian Research Council
Funding Amount
$435,279.00
Summary
High-throughput portable and wearable device fabrication facility. This project aims to establish a fabrication and characterisation facility for high-throughput production of portable, wearable and stretchable biomedical devices to accelerate the design–fabrication–evaluation process and save ‘trial-and-error’ costs during optimisation turnaround. It will apply computer-aided design for the programmable synthesis of hybrid materials for high-throughput screening of disease biomarkers, and super ....High-throughput portable and wearable device fabrication facility. This project aims to establish a fabrication and characterisation facility for high-throughput production of portable, wearable and stretchable biomedical devices to accelerate the design–fabrication–evaluation process and save ‘trial-and-error’ costs during optimisation turnaround. It will apply computer-aided design for the programmable synthesis of hybrid materials for high-throughput screening of disease biomarkers, and super-solution imaging of single molecules in live cells. This facility will provide capability for researchers pursuing industry transformation and other initiatives in the development of advanced materials, biomolecular sciences, nanotechnology, photonics and device engineering.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100068
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Bioinspired liposome-based smart sensors. This project aims to develop a liposome-based biosensor technology that mimics cell sensory systems. Selective detection of compounds is increasingly important for food, health and environmental monitoring. Biosensor development faces long-standing challenges such as response time, sensitivity, specificity, and multiplexing. On the other hand, cells can sense and discriminate multiple biomolecules in seconds with high sensitivity and specificity. This pr ....Bioinspired liposome-based smart sensors. This project aims to develop a liposome-based biosensor technology that mimics cell sensory systems. Selective detection of compounds is increasingly important for food, health and environmental monitoring. Biosensor development faces long-standing challenges such as response time, sensitivity, specificity, and multiplexing. On the other hand, cells can sense and discriminate multiple biomolecules in seconds with high sensitivity and specificity. This project aims to harness cells’ exquisite biological properties to improve current detection techniques. It will integrate liposome-based sensors with microfluidics to perform analytical tasks ranging from food safety to diagnostics.Read moreRead less
Magnetofluidic sample handling for enhanced point-of-care diagnosis. This project aims to decipher the mechanism behind recent discovery on the enhancement of mixing and separation with magnetism and to apply it to the rapid and early detection of malaria and cancer. This mechanism provides novel and unique fluid handling capabilities, which allow the development of revolutionary point-of-care diagnostic approaches that integrate magnetic mixing, separation and detection on a single device. The ....Magnetofluidic sample handling for enhanced point-of-care diagnosis. This project aims to decipher the mechanism behind recent discovery on the enhancement of mixing and separation with magnetism and to apply it to the rapid and early detection of malaria and cancer. This mechanism provides novel and unique fluid handling capabilities, which allow the development of revolutionary point-of-care diagnostic approaches that integrate magnetic mixing, separation and detection on a single device. The outcomes of this project are instrumental for the reduction of healthcare cost, promoting good health for Australian and potentially creating new jobs in the niche biomedical industry.Read moreRead less