Multi-resolution situation recognition for urban-aware smart assistant. This project aims to develop a situation recognition framework to recognise and anticipate unforeseen emerging situations, such as schedule changes, incidents, and disruptions in an urban environment. The project will address a significant knowledge gap by capturing and modelling unpredictability in human mobility and work routines. The outcome will be a situation recognition framework that can be applied at the individual, ....Multi-resolution situation recognition for urban-aware smart assistant. This project aims to develop a situation recognition framework to recognise and anticipate unforeseen emerging situations, such as schedule changes, incidents, and disruptions in an urban environment. The project will address a significant knowledge gap by capturing and modelling unpredictability in human mobility and work routines. The outcome will be a situation recognition framework that can be applied at the individual, social group, and urban level, and at multiple locations and time scales. This should provide users with timely notifications and recommendations to resume their activities and routines. The expected benefits will be far-ranging and adaptable to many domains, from personal smart assistants to trip planning and emergency services.Read moreRead less
Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distribute ....Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distributed computing environment, and evaluate with a real world social network and biological network data sets. The new algorithms produced by this project will be used in the next generation visual analytic tools for extreme-scale data to enable analysts develop new insights and new knowledge of extreme-scale data.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100121
Funder
Australian Research Council
Funding Amount
$720,000.00
Summary
Equipment for International Collaboration in Gravitational Wave Detection. Equipment for international collaboration in gravitational wave detection: This project will allow the Australian Consortium for Gravitational Astronomy to install optical equipment at its dedicated research facility, and to install data analysis pipelines on new iVEC Pawsey Centre GPU-enabled supercomputers. The equipment is required for research aimed at stabilising instabilities in the new international gravitational w ....Equipment for International Collaboration in Gravitational Wave Detection. Equipment for international collaboration in gravitational wave detection: This project will allow the Australian Consortium for Gravitational Astronomy to install optical equipment at its dedicated research facility, and to install data analysis pipelines on new iVEC Pawsey Centre GPU-enabled supercomputers. The equipment is required for research aimed at stabilising instabilities in the new international gravitational wave detectors currently being commissioned in the USA and Europe. Real time data from the new detectors will be analysed using innovative new techniques. Scientists across Australia will be able to rapidly localise potential gravitational wave sources to direct robotic telescope observations. This could enable the first detection of gravitational waves.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
Design and deployment of practical anonymous access systems. This project aims to design, test and deploy a practical and highly secure anonymous access system for online businesses that offer services on a free trial basis. Currently, online businesses are unable to take advantage of feedback from customers during and after trial periods; nor do currently available mechanisms offer practical privacy protection to customers. The project expects to overcome these barriers by developing innovative ....Design and deployment of practical anonymous access systems. This project aims to design, test and deploy a practical and highly secure anonymous access system for online businesses that offer services on a free trial basis. Currently, online businesses are unable to take advantage of feedback from customers during and after trial periods; nor do currently available mechanisms offer practical privacy protection to customers. The project expects to overcome these barriers by developing innovative cryptographic solutions and security testing methods that will inform new protocol design and implementation, which will bring long-term benefits to online businesses and their customers. The project also aims to develop new, distributed ledger technology, which is a strategic technology trend. This will provide significant benefits such as a practical, reliable and highly secure anonymous access system for online businesses, in Australia and worldwide, that offer services on a free trial basis, which would enable these service providers to add value to and enhance their product offerings.Read moreRead less
Secure Crowdsourcing Classification with Privacy Protection against Servers. This project aims to enable comprehensive quality data classification via secure crowdsourcing. The quality of a data-intensive process, such as a Machine Learning algorithm, depends on the input data quality. By using a crowdsourcing classification, the project expects to overcome the painstaking and costly process of humans correctly annotating extensive input data from diverse real information. The expected outcomes ....Secure Crowdsourcing Classification with Privacy Protection against Servers. This project aims to enable comprehensive quality data classification via secure crowdsourcing. The quality of a data-intensive process, such as a Machine Learning algorithm, depends on the input data quality. By using a crowdsourcing classification, the project expects to overcome the painstaking and costly process of humans correctly annotating extensive input data from diverse real information. The expected outcomes are innovative technologies, guaranteeing accuracy and confidentiality of annotation results whilst protecting the privacy of data classification results. It enhances data-intensive outputs quality, which will benefit large data-intensive applications, such as cybersecurity protections via intrusion detection.Read moreRead less
Efficient Multi-key Homomorphic Encryption and Its Applications. Multi-key homomorphic encryption (MKHE) is a key technology that functions to allow multiple users to supply their private input for collaboration in the cloud while keeping the user data confidential. Unfortunately, it is very difficult to obtain efficient MKHEs. This project aims to overcome this challenge by enabling novel efficient MKHEs. The expected outcomes of this project are to develop innovative cryptographic technologies ....Efficient Multi-key Homomorphic Encryption and Its Applications. Multi-key homomorphic encryption (MKHE) is a key technology that functions to allow multiple users to supply their private input for collaboration in the cloud while keeping the user data confidential. Unfortunately, it is very difficult to obtain efficient MKHEs. This project aims to overcome this challenge by enabling novel efficient MKHEs. The expected outcomes of this project are to develop innovative cryptographic technologies which realise efficient MKHEs, together with their cryptographic libraries and practical applications in solving industry problems. This will provide direct economic benefits to Australian industry through the enablement of advanced technologies and low-cost business solutions which are developed in Australia.Read moreRead less
Enabling Anonymity and Privacy for Blockchain Technology in a Quantum World. Blockchain is a promising technology in the digital world today. However, existing approaches for enabling blockchain applications, particularly with privacy protection and anonymity, are vulnerable to quantum computer attacks. This project aims to enable novel cryptographic mechanisms together with their cryptographic libraries for protecting blockchain in the quantum world, hence, post-quantum secure blockchain. The e ....Enabling Anonymity and Privacy for Blockchain Technology in a Quantum World. Blockchain is a promising technology in the digital world today. However, existing approaches for enabling blockchain applications, particularly with privacy protection and anonymity, are vulnerable to quantum computer attacks. This project aims to enable novel cryptographic mechanisms together with their cryptographic libraries for protecting blockchain in the quantum world, hence, post-quantum secure blockchain. The expected outcomes of this project include innovative technologies, as well as secure and practical post-quantum protocols for protecting future blockchain applications. This will provide economic and social benefits to Australian industry through the enablement of advanced technologies which are developed in Australia.Read moreRead less