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
Wicked defaults: how to overcome the dark side of choice architecture. This project aims to investigate how defaults and product complexity might be used to exploit consumers in environments like private insurance where consumers are prone to making systematic errors. Defaults are used to nudge individuals into socially beneficial actions such as increasing their retirement savings and joining organ donor lists. However, in the hands of firms, defaults can also be used to exploit consumers by en ....Wicked defaults: how to overcome the dark side of choice architecture. This project aims to investigate how defaults and product complexity might be used to exploit consumers in environments like private insurance where consumers are prone to making systematic errors. Defaults are used to nudge individuals into socially beneficial actions such as increasing their retirement savings and joining organ donor lists. However, in the hands of firms, defaults can also be used to exploit consumers by encouraging choices that help the firm but disadvantage consumers. The project intends to study experimentally whether exploitation can be reduced via competition and reputation building systems based on consumer feedback.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
Milk protein profiling powered by multiplexed single molecule assay. This project aims to develop a novel device, comprising advanced single molecule imaging, microfluidics and immunoassay technologies, for quantification of milk protein variants. Milk quality is central to dairying and variants of proteins in milk affect its market value. No current milk protein detection technologies are readily applied in milk production quality control. This project aims to produce a device that can be used ....Milk protein profiling powered by multiplexed single molecule assay. This project aims to develop a novel device, comprising advanced single molecule imaging, microfluidics and immunoassay technologies, for quantification of milk protein variants. Milk quality is central to dairying and variants of proteins in milk affect its market value. No current milk protein detection technologies are readily applied in milk production quality control. This project aims to produce a device that can be used by milk producers and farms to profile protein variants with high sensitivity in a single test in an hour and screen unwanted protein contamination. The platform also has great potential for detecting other complex and low content analytes. It builds on innovations in nanoparticles and recent industry collaboration.Read moreRead less
Self-assembled phases as effective and selective materials for analysis. This project aims to develop a suite of self-assembled amphiphilic molecules to form distinctive materials for analytical chemistry. The cost-effective, easy to prepare, selective and environmentally benign materials will be for non-volatile bioactive and chiral molecular targets that are commonly encountered every day or are difficult to study. The project will open a new research area and will further uplift the internati ....Self-assembled phases as effective and selective materials for analysis. This project aims to develop a suite of self-assembled amphiphilic molecules to form distinctive materials for analytical chemistry. The cost-effective, easy to prepare, selective and environmentally benign materials will be for non-volatile bioactive and chiral molecular targets that are commonly encountered every day or are difficult to study. The project will open a new research area and will further uplift the international standing of Australia in the field. The project will provide a high level of training and expertise for Australia-based chemists.Read moreRead less
Architectural Design Across Spaces and Cultures: Technology and Language. This project addresses two significant productivity barriers facing Australia’s architectural practices; designing in spatially distributed and culturally diverse teams.
While design practices are central to sustaining Australia’s creative export sector, growing concerns associated with online, multilingual design teams have been identified.
Directly responding to Australia’s COVID-19 recovery plans, this research seeks ....Architectural Design Across Spaces and Cultures: Technology and Language. This project addresses two significant productivity barriers facing Australia’s architectural practices; designing in spatially distributed and culturally diverse teams.
While design practices are central to sustaining Australia’s creative export sector, growing concerns associated with online, multilingual design teams have been identified.
Directly responding to Australia’s COVID-19 recovery plans, this research seeks to develop new knowledge about the cognitive, social and technical factors that shape the effectiveness of online international design teamwork. Its goal is to leverage the opportunities provided through technological advances and multicultural practices, to remove barriers to design productivity and enhance creativity.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC220100035
Funder
Australian Research Council
Funding Amount
$4,958,927.00
Summary
ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, ....ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, providing the materials and inspiration for young researchers to apply novel hyphenated methods to complex environmental and industrial systems. This Centre will deliver fundamental developments in hyphenated technologies, new analytical capability, and applied outcomes across multiple end-user groups and interests. Read moreRead less
Integrated Nanoplatform for Multiomics Analysis of Cell-to-Cell Interaction. This project aims to develop an integrated nanoplatform for analysis of exosomes produced by host-pathogen interaction at the single cell level. This will be accomplished by engineering an innovative device involving plasmonic nanoparticles to probe exosomes molecular profiles over time. The intended outcome is a generic and robust platform for detailed molecular analysis of the consequences of cell-to-cell interactions ....Integrated Nanoplatform for Multiomics Analysis of Cell-to-Cell Interaction. This project aims to develop an integrated nanoplatform for analysis of exosomes produced by host-pathogen interaction at the single cell level. This will be accomplished by engineering an innovative device involving plasmonic nanoparticles to probe exosomes molecular profiles over time. The intended outcome is a generic and robust platform for detailed molecular analysis of the consequences of cell-to-cell interactions. Single cell scale will greatly improve detection accuracy for heterogeneous cell populations. Benefits will include new knowledge of cell-to-cell communication and intellectual property in manufacturing, which will foster collaborations across institutions and Australian industry by providing new technological solutions.Read moreRead less
Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect t ....Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.Read moreRead less