Scalable Stream Processing in Hybrid Edge-Cloud Infrastructures. This project aims to develop a new computational paradigm to ensure low-latency services for streaming applications across heterogeneous Edge devices while satisfying high-throughput and scalability requirements. This project is of high significance for generating new knowledge in the area of real-time streaming using innovative algorithms that overcome the limitations of remote Cloud and distributed Edge computing. Expected outcom ....Scalable Stream Processing in Hybrid Edge-Cloud Infrastructures. This project aims to develop a new computational paradigm to ensure low-latency services for streaming applications across heterogeneous Edge devices while satisfying high-throughput and scalability requirements. This project is of high significance for generating new knowledge in the area of real-time streaming using innovative algorithms that overcome the limitations of remote Cloud and distributed Edge computing. Expected outcomes include novel programming abstractions, performance models, and control mechanisms to address complex problems for incremental and iterative computations in hybrid Edge-Cloud infrastructures. This should provide significant benefits, one of which is the optimised utilisation of limited computing resources.Read moreRead less
Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – w ....Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – what the data means and what it can be used for – with sophisticated, scalable computational techniques to mine and present information from the huge volumes of raw data. This project is expected to improve productivity and quality of big data analytics and visualisation in critical domains.Read moreRead less
Next-generation spatial keyword search. Spatial keyword search is like a normal web search plus additional location information, which helps users to obtain a better ranking of results by considering the spatial proximity. The success of this project will deliver a next-generation spatial keyword search system that overcomes the severe usability limitations experienced by users today.
Socially Oriented Requirements Engineering - Software Engineering meets Ethnography. The project should lead to the design and development of better software/information and communications technologies in the homes of Australians, that encourage flexible social ineractions, and has been designed with the user in mind.
Values-oriented Defect Fixing for Mobile Software Applications. This project aims to address critical problems with mobile applications that exhibit human values-based defects, by advancing our understanding, detection and fixing of such defects. Many mobile apps do not operate according to the essential values of their human users - e.g. inclusivity, accessibility, privacy, ethical behaviour, due care, emotions, etc - making them ineffective, underused, unfit for purpose or even dangerous. Exp ....Values-oriented Defect Fixing for Mobile Software Applications. This project aims to address critical problems with mobile applications that exhibit human values-based defects, by advancing our understanding, detection and fixing of such defects. Many mobile apps do not operate according to the essential values of their human users - e.g. inclusivity, accessibility, privacy, ethical behaviour, due care, emotions, etc - making them ineffective, underused, unfit for purpose or even dangerous. Expected outcomes include new theories, techniques and prototype tools for developers and end users to detect and help fix values-based defects in mobile apps. Benefits include better, safer mobile apps for people and organisations and improved app developer productivity and competitiveness.Read moreRead less
Learning Semi-Naive Bayesian Classifiers from Numeric Data. This project addresses research priority 3, offering frontier technologies. It will deliver better and faster classification technologies that greatly help accomplish many real-world tasks including medical diagnosis, fraud detection, spam filtering and webpage search, where accurate and fast classification is critical to save life, increase efficiency, reduce crime and conserve resources. Hence this project addresses priority 4 as well ....Learning Semi-Naive Bayesian Classifiers from Numeric Data. This project addresses research priority 3, offering frontier technologies. It will deliver better and faster classification technologies that greatly help accomplish many real-world tasks including medical diagnosis, fraud detection, spam filtering and webpage search, where accurate and fast classification is critical to save life, increase efficiency, reduce crime and conserve resources. Hence this project addresses priority 4 as well, better safeguarding Australia from disease and crime. This project will also support a young research group of international standing. It will train the involved researchers to attain a high level of proficiency and excellence in machine learning research and development.Read moreRead less
Quality of Service-based Scheduling of e-Research Application Workflows on Global Grids. e-Research has the potential to offer Australia significant economic and social benefits as it enables researchers from different disciplines and organisations to engage in collaborative scientific investigation. In e-Research environments, users need to have secure access to remote resources owned by different organisations. Since these resources are not directly under the control of e-Research applications ....Quality of Service-based Scheduling of e-Research Application Workflows on Global Grids. e-Research has the potential to offer Australia significant economic and social benefits as it enables researchers from different disciplines and organisations to engage in collaborative scientific investigation. In e-Research environments, users need to have secure access to remote resources owned by different organisations. Since these resources are not directly under the control of e-Research applications, they need to negotiate with resource providers for access time, duration, and the level of quality of service expected to make sure that the interlinked operations are performed as required. This project develops information and communications technologies that enable the creation of such e-Research environments.Read moreRead less
Translucent Optical Networks: Architecture, Design, Operation, and Survivability. Australia is a geographically disperse country. Long-haul optical transport networks are key communication infrastructure between metropolises. Our research aims to discover cost-effective network architecture and planning and operational strategies for optical transport networks, which is beneficial to the deployment and operation of Australian telecommunication networks. In addition, viewing the sparse connectivi ....Translucent Optical Networks: Architecture, Design, Operation, and Survivability. Australia is a geographically disperse country. Long-haul optical transport networks are key communication infrastructure between metropolises. Our research aims to discover cost-effective network architecture and planning and operational strategies for optical transport networks, which is beneficial to the deployment and operation of Australian telecommunication networks. In addition, viewing the sparse connectivity of Australian backbone transport networks, the research on network survivability will provide effective strategies for Australian transport networks to survive any network failures due to natural disasters or terror attacks, thereby providing reliable network services to Australian. Read moreRead less
Resource-bounded adaptive inference of accurate conditional probability estimates from data. This project will develop machine learning techniques with a valuable new capability: the ability to produce estimates of complex conditional probabilities to varying levels of expected accuracy depending upon the constraints of available computational resources. This will provide significant competitive advantage to developers of many types of online application by allowing them to maximise utilisation ....Resource-bounded adaptive inference of accurate conditional probability estimates from data. This project will develop machine learning techniques with a valuable new capability: the ability to produce estimates of complex conditional probabilities to varying levels of expected accuracy depending upon the constraints of available computational resources. This will provide significant competitive advantage to developers of many types of online application by allowing them to maximise utilisation of available computational resources when making inferences from data, together with the flexibility to trade-off accuracy and computing resources during system design. Australia will also benefit by strengthening its machine learning expertise, which is central to many complex and intelligent systems and the booming data mining industry.Read moreRead less
Designing for Reliability and Maintainability in Service-Oriented Architectures. This project aims to build expertise in the design of computer software, especially enterprise systems in domains such as finance and logistics that are vast in scale and highly complex and geographically separated. By fostering and formalising techniques for improving developer productivity and the reliability and maintainability of enterprise systems, Australia can secure a place as a world leader in software meth ....Designing for Reliability and Maintainability in Service-Oriented Architectures. This project aims to build expertise in the design of computer software, especially enterprise systems in domains such as finance and logistics that are vast in scale and highly complex and geographically separated. By fostering and formalising techniques for improving developer productivity and the reliability and maintainability of enterprise systems, Australia can secure a place as a world leader in software methodology, with an emphasis on technology production rather than consumption. Australian computer consulting services are a $19.5b industry, whilst the wider services sector, which is increasingly reliant on automation to stay competitive, accounts for 70% of Australia's GNP.Read moreRead less