Privacy preserving and data utility in outsourced systems. Making the best tradeoff between data privacy and utility is a vital challenge in privacy-preserving outsourcing environments. This project aims to develop a balanced distributed framework to achieve the best utility of outsourced data while protecting private information. The framework consists of general structure of distributed evolutionary algorithms and a predefined topology for high optimization efficiency and a dynamic groupin ....Privacy preserving and data utility in outsourced systems. Making the best tradeoff between data privacy and utility is a vital challenge in privacy-preserving outsourcing environments. This project aims to develop a balanced distributed framework to achieve the best utility of outsourced data while protecting private information. The framework consists of general structure of distributed evolutionary algorithms and a predefined topology for high optimization efficiency and a dynamic grouping recombination model. The project outcomes will be beneficial to applications in the nation as it incorporates new privacy constraints and utility requirements raised by emerging technologies to enable better protection of sensitive information and maximal data utility in outsourced systems. Read moreRead less
A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword ....A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword search, subgraph isomorphism and substructure query techniques. This project is expected to significantly accelerate the application of new technologies, for example, big data analytics and Internet of Things, in many of Australia's critical domains such as e-Health, smart cities, and cybersecurity.Read moreRead less
Finding answers for complex questions. This project aims to develop a new search paradigm for on-line search engines that presents users with answers to complex questions, rather than forcing them to find answers themselves from lists of retrieved documents. The project will develop a taxonomy of complex answer search tasks, devise novel techniques to increase the effectiveness of complex answer retrieval through interaction and, create a new evaluation framework for precise measurement of syste ....Finding answers for complex questions. This project aims to develop a new search paradigm for on-line search engines that presents users with answers to complex questions, rather than forcing them to find answers themselves from lists of retrieved documents. The project will develop a taxonomy of complex answer search tasks, devise novel techniques to increase the effectiveness of complex answer retrieval through interaction and, create a new evaluation framework for precise measurement of system effectiveness. This project should provide significant advances that will benefit all users of search engines.Read moreRead less
Adaptive and Ubiquitous Trust Framework for Internet of Things interactions. The aim of the project is to address the Trust challenges in Internet of Things (IoT) environments, thus enabling the wide deployment of potentially billions of IoT devices. This project will generate new knowledge in the area of IoT Trust by developing novel techniques to establish trust in highly dynamic crowdsourcing IoT environments. The project's main outcomes include the development of a ubiquitous and adaptive mu ....Adaptive and Ubiquitous Trust Framework for Internet of Things interactions. The aim of the project is to address the Trust challenges in Internet of Things (IoT) environments, thus enabling the wide deployment of potentially billions of IoT devices. This project will generate new knowledge in the area of IoT Trust by developing novel techniques to establish trust in highly dynamic crowdsourcing IoT environments. The project's main outcomes include the development of a ubiquitous and adaptive multi-component trust framework reflecting trust perspectives. The developed solutions will allow the establishment of trusted interactions among crowdsourced IoT devices and wider deployment of convenient and just-in-time services, thus enabling the development of novel applications, such as the crowdsourcing of green energy.Read moreRead less
New approaches to interactive sessional search for complex tasks. This project aims to develop new tools and techniques to improve the accuracy and speed of search and data analytics for complex information tasks. There are currently no publicly available search engines which support users engaged in complex interactive search, or that allow searchers to fully control their own data and privacy. Fundamental research advances, based on understanding real user behaviour and search needs will have ....New approaches to interactive sessional search for complex tasks. This project aims to develop new tools and techniques to improve the accuracy and speed of search and data analytics for complex information tasks. There are currently no publicly available search engines which support users engaged in complex interactive search, or that allow searchers to fully control their own data and privacy. Fundamental research advances, based on understanding real user behaviour and search needs will have an impact on important academic, industrial, and government domains, including virtual assistants, health care (clinical decision support), precision medicine, eDiscovery, crime prevention, and detailed socio-economic evaluations.Read moreRead less
Efficient Compression and Querying Techniques for Massive Text Collections. Web search services have become a fundamental tool used by governments, businesses, and individuals, and play a key role in our access to knowledge and information. In this project we aim to develop new techniques for representing the indexes at the heart of web search services, and to devise new processing algorithms with reduced resource requirements for resolving queries and providing useful and topical answers. Hig ....Efficient Compression and Querying Techniques for Massive Text Collections. Web search services have become a fundamental tool used by governments, businesses, and individuals, and play a key role in our access to knowledge and information. In this project we aim to develop new techniques for representing the indexes at the heart of web search services, and to devise new processing algorithms with reduced resource requirements for resolving queries and providing useful and topical answers. Higher query throughput and reduced storage load will benefit providers though reduced hardware and electricity costs, and will benefit society through better access to information, enhanced opportunities to connect and collaborate, and greater long-term scalability as on-line resources continue to multiply.Read moreRead less
Extracting energy from air: mechanism of a bacterial hydrogenase. The atmosphere has recently been shown to be a key source of energy for diverse soil bacteria. Bacteria use complex enzymes, namely Huc-type hydrogenases, to harvest atmospheric hydrogen directly from air to support growth and survival. However, little is known about how Huc functions within and outside cells. By synergising expertise in microbiology, biochemistry, and chemistry, we will resolve the mechanism, assembly, and integr ....Extracting energy from air: mechanism of a bacterial hydrogenase. The atmosphere has recently been shown to be a key source of energy for diverse soil bacteria. Bacteria use complex enzymes, namely Huc-type hydrogenases, to harvest atmospheric hydrogen directly from air to support growth and survival. However, little is known about how Huc functions within and outside cells. By synergising expertise in microbiology, biochemistry, and chemistry, we will resolve the mechanism, assembly, and integration of Huc, including the basis of its remarkably high affinity and oxygen insensitivity compared to previously studied hydrogenases. This project will enable biotechnological applications, as the first study of an enzyme that extracts energy from air, and has broad ecological and biogeochemical implications.Read moreRead less
Decentralised assets trading, centralised clearing and systemic risk. This project aims to study the effect of regulating over-the-counter (OTC) financial markets on economic performance. The lack of transparency of OTC financial markets may have exacerbated the severity of the 2007-09 financial crisis. In response, regulators around the world decided to mandate centralised clearing of derivatives traded OTC, believing this would reduce system-wide risk. This project will study the regulatory ch ....Decentralised assets trading, centralised clearing and systemic risk. This project aims to study the effect of regulating over-the-counter (OTC) financial markets on economic performance. The lack of transparency of OTC financial markets may have exacerbated the severity of the 2007-09 financial crisis. In response, regulators around the world decided to mandate centralised clearing of derivatives traded OTC, believing this would reduce system-wide risk. This project will study the regulatory change’s effects on market participation, volumes of trade and prices, and the behavioural effect of shifting risk from market participants to clearinghouses. It expects to suggest remedial policies clearinghouses could implement to control market participants’ risk appetite. These can help enhance future productivity and reduce unemployment in Australia.Read moreRead less
The production, use and effect of social work research. This project aims to reform social work research to improve the quality and effectiveness of human services. The human services industry is vital to many people’s quality of life, but lacks innovation and struggles to demonstrate its effectiveness. Crucially for social work, research expands thinking about how to respond to social disadvantage. This project intends to examine the scope and quality of Australian social work research in child ....The production, use and effect of social work research. This project aims to reform social work research to improve the quality and effectiveness of human services. The human services industry is vital to many people’s quality of life, but lacks innovation and struggles to demonstrate its effectiveness. Crucially for social work, research expands thinking about how to respond to social disadvantage. This project intends to examine the scope and quality of Australian social work research in child protection, disability services, and aged care; assess the use of this research to the human services sector and its effect on generating innovation; and develop strategies to advance the production, uptake, and effect of social work research.Read moreRead less
Incomplete Information Models for Industrial Organisation. Mergers, acquisitions, and collusive conduct take place in imperfectly competitive environments where firms have incomplete information about others. Despite this, standard workhorse models for analyzing the associated competitive effects assume that firms have complete information and typically only accommodate imperfect competition on one side of the market. This project aims to remedy this deficiency by developing the economic theory ....Incomplete Information Models for Industrial Organisation. Mergers, acquisitions, and collusive conduct take place in imperfectly competitive environments where firms have incomplete information about others. Despite this, standard workhorse models for analyzing the associated competitive effects assume that firms have complete information and typically only accommodate imperfect competition on one side of the market. This project aims to remedy this deficiency by developing the economic theory and associated practical tools for the analysis of competitive effects in settings with incomplete information and market power on both sides. The project work will be presented at seminars and workshops around the globe to both academic audiences and to practitioners at competition authorities. Read moreRead less