Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents ex ....Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents extreme challenges due to the size and complexity of customer databases. The expected outcomes will enable Australian companies to attract and retain more customers, and make more efficient use of their marketing budget. Benefits include equipping companies to better compete domestically and globally.Read moreRead less
The systems biology of stem cells. Using new bioinformatic methods, this project aims to identify new classifiers of different stem cell populations, develop statistical models that address population heterogeneity and provide molecular predictors of the differentiation potential of stem cells. Understanding, predicting and directing the processes of differentiation are major goals in the disciplines of stem cell biology, developmental biology, tissue engineering and regenerative medicine. Molec ....The systems biology of stem cells. Using new bioinformatic methods, this project aims to identify new classifiers of different stem cell populations, develop statistical models that address population heterogeneity and provide molecular predictors of the differentiation potential of stem cells. Understanding, predicting and directing the processes of differentiation are major goals in the disciplines of stem cell biology, developmental biology, tissue engineering and regenerative medicine. Molecular atlas projects have successfully revealed rules of genome output and regulation, by mining patterns that are evident across multiple cell types and datasets. By applying this philosophy to relevant, well-curated stem cell experiments, this project aims to create new methods for the integration and interrogation of smaller individual datasets. These methods should have broad utility and enable new avenues in tissue engineering.Read moreRead less
Making human place knowledge digestible by computers. This project aims to develop the tools that will enable people to interact intuitively with computers about places and the relations between places. People understand their environment in a different way to computers; they think of places and their relations, while computers use coordinates and maps. People’s interaction with maps is cognitively costly and error-prone, which is becoming untenable in situations needing time-critical decision m ....Making human place knowledge digestible by computers. This project aims to develop the tools that will enable people to interact intuitively with computers about places and the relations between places. People understand their environment in a different way to computers; they think of places and their relations, while computers use coordinates and maps. People’s interaction with maps is cognitively costly and error-prone, which is becoming untenable in situations needing time-critical decision making. The project will revolutionise the design of information services where computers deal with humans and location in time-critical or stressful situations, including emergency calls, disaster response and local search queries. The uptake of this design by industry will lead to economic benefits as well as a safer society living in a smarter environment.Read moreRead less
Modelling graph-of-graphs for solving document categorisation problems. Documents in the World Wide Web, such as scientific documents, exhibit a referencing structure as well as being structured objects themselves. This project addresses some inherent limitations of existing modelling techniques in order to improve on the quality of results, and to allow the addressing of some unsolved problems involving documents.
2D Multiferroics: From Materials Design to Device Conceptualization. This project aims to design new transistors with high efficiency and low energy costing for the storage applications based on two-dimensional multifunctional heterostructures. Extensive computational simulations and joint experiments will be employed to develop fundamental knowledge essential to understanding the phenomena of magnetoelectric coupling, which is used to guide rational device design and implementation. The designe ....2D Multiferroics: From Materials Design to Device Conceptualization. This project aims to design new transistors with high efficiency and low energy costing for the storage applications based on two-dimensional multifunctional heterostructures. Extensive computational simulations and joint experiments will be employed to develop fundamental knowledge essential to understanding the phenomena of magnetoelectric coupling, which is used to guide rational device design and implementation. The designed magnetoelectric heterostructures and the multiferroic devices are expected to provide strong foundations for technological innovations resulting in devices with superior functionality and efficiency. The outcome of the project will significantly benefit high-tech electronics.Read moreRead less
Ultra-high mobility Dirac semimetal nanostructures for solid state devices. This project aims to develop novel Dirac semimetal nanostructures and determine their structural and chemical characteristics to ultimately assemble high-performance devices. The growth of band-engineered nanostructures and understanding their evolution, fine structure and unique properties are key steps for developing high-performance nanostructure-based devices. The new knowledge and skills developed in this project wi ....Ultra-high mobility Dirac semimetal nanostructures for solid state devices. This project aims to develop novel Dirac semimetal nanostructures and determine their structural and chemical characteristics to ultimately assemble high-performance devices. The growth of band-engineered nanostructures and understanding their evolution, fine structure and unique properties are key steps for developing high-performance nanostructure-based devices. The new knowledge and skills developed in this project will greatly enhance the knowledge base of nanoscience and nanotechnology, and will have a significant impact on practical applications of nanostructure-based devices. This project will underpin the development of next-generation electronic nanomaterials that will enhance the long-term viability of Australia’s high-technology industries.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101579
Funder
Australian Research Council
Funding Amount
$346,446.00
Summary
Searching when the stakes are high: better health decisions from search engines. This project aims to help people make better health decisions from search engines by improving the information that search queries return. Google is utilised by 80 per cent of Australians to search health symptoms, despite evidence showing that many often find incorrect and unreliable health information. This project expects to provide new understanding about why and how people fail to find useful health information ....Searching when the stakes are high: better health decisions from search engines. This project aims to help people make better health decisions from search engines by improving the information that search queries return. Google is utilised by 80 per cent of Australians to search health symptoms, despite evidence showing that many often find incorrect and unreliable health information. This project expects to provide new understanding about why and how people fail to find useful health information. Expected outcomes of this project include new models and methods for evaluating high-stakes search and new search technologies to help people find and recognise high quality information to make better health decisions. This should provide significant benefits to Australian health consumers and the healthcare system.Read moreRead less
AI-driven Effective Query Formulation for Better Systematic Reviews. This project aims to develop novel AI-based search engine methods to make the creation of systematic reviews cheaper, faster and unbiased. Systematic reviews are the cornerstone for evidence-based decisions in clinical practice and government policy making. Given the pace new research is published at, it is unsustainable to manually conduct systematic reviews in the traditional manner, taking on average 2 years and $350K and be ....AI-driven Effective Query Formulation for Better Systematic Reviews. This project aims to develop novel AI-based search engine methods to make the creation of systematic reviews cheaper, faster and unbiased. Systematic reviews are the cornerstone for evidence-based decisions in clinical practice and government policy making. Given the pace new research is published at, it is unsustainable to manually conduct systematic reviews in the traditional manner, taking on average 2 years and $350K and becoming already outdated when published. The outcomes of this project will lead to systematic reviews of higher quality, while reducing their financial and temporal costs, providing significant benefits to organisations performing reviews and their funders, and to people impacted by decisions made from the reviews.Read moreRead less
Government web portals as government actors. This project aims to examine the architectures, rationales, effectiveness and power effects of government web portals, which are conceptualised as spaces of administrative, policy and power contestation. They are the formal public face of online government, but their effectiveness and contribution to government is largely unknown. The project uses digital research methods (hyperlink network analysis and web experiments) to comparatively assess 10 hi-t ....Government web portals as government actors. This project aims to examine the architectures, rationales, effectiveness and power effects of government web portals, which are conceptualised as spaces of administrative, policy and power contestation. They are the formal public face of online government, but their effectiveness and contribution to government is largely unknown. The project uses digital research methods (hyperlink network analysis and web experiments) to comparatively assess 10 hi-tech countries. It expects to contribute to understanding the structure and governance of the state in the 21st century, and provide foundational knowledge to underpin the next generation of government online service strategy.Read moreRead less