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.
Improving provision of a document store as a service in a public cloud. Improving provision of a document store as a service in a public cloud. This project aims to develop a model of document-oriented database correctness and performance that can be applied to cloud-hosted clusters. Many modern web applications rely on document-oriented databases hosted on clusters of virtualised servers from commercial cloud providers. Developers make difficult deployment decisions, such as how to combine data ....Improving provision of a document store as a service in a public cloud. Improving provision of a document store as a service in a public cloud. This project aims to develop a model of document-oriented database correctness and performance that can be applied to cloud-hosted clusters. Many modern web applications rely on document-oriented databases hosted on clusters of virtualised servers from commercial cloud providers. Developers make difficult deployment decisions, such as how to combine data sharding and replication to meet service requirements without any guidance on the degree of precision. This research will allow developers and database administrators to predict how systems will behave in conditions difficult to simulate directly. Ultimately, this is expected to improve the quality and efficiency of services built using document databases.Read moreRead less
Secure and efficient data leak prevention on cloud. The leak of sensitive data on cloud not only poses serious threats to both public and private organisations but also puts their employees and clients at risk, e.g., economic loss and social impact. The aim of this project is to develop a secure and efficient solution that can detect and prevent leak of data in real-time. Uniquely, the proposed research will develop novel techniques that can monitor data leak security incidents happening over ti ....Secure and efficient data leak prevention on cloud. The leak of sensitive data on cloud not only poses serious threats to both public and private organisations but also puts their employees and clients at risk, e.g., economic loss and social impact. The aim of this project is to develop a secure and efficient solution that can detect and prevent leak of data in real-time. Uniquely, the proposed research will develop novel techniques that can monitor data leak security incidents happening over time and captured by different sensors and identify correlations between historic security incidents and current data attacks. This project will significantly help to secure data on cloud for organisations in Australia and benefit fast-growing security sensitive data hosting and applications on cloud.Read moreRead less
Adaptive Key-value Store for Future Extreme Heterogeneous Systems. Safe, lasting storage of data, and efficient access to it, is vital for all aspects of computing, ranging from e-commerce applications, and data-management in governments. For the storage of data, persistent key-value stores are central in modern computing platforms. However, contemporary key-value stores have not been designed for emerging extreme heterogeneous computational systems with future hardware accelerators and storage ....Adaptive Key-value Store for Future Extreme Heterogeneous Systems. Safe, lasting storage of data, and efficient access to it, is vital for all aspects of computing, ranging from e-commerce applications, and data-management in governments. For the storage of data, persistent key-value stores are central in modern computing platforms. However, contemporary key-value stores have not been designed for emerging extreme heterogeneous computational systems with future hardware accelerators and storage capabilities, including graphics processor and flash-based memory. This project will devise an adaptive key-value store framework for heterogeneous systems. Our new framework will adaptively harvest the performance potential of future hardware such that applications can cope with fast-growing data sets.Read moreRead less
Effective and efficient record linkage with transformation rules. Record linkage is an enabling technology for organisations to identify and remove 'redundant' entries in their databases; this helps prevent data quality problems that may cost millions. This project will deliver the next-generation record linkage methodology that enables cost and time economical linkage beyond what is currently possible.
Locality sensitive hashing for big data. This project aims to solve problems to applying locality sensitive hashing (LSH) to Big Data, namely handling new similarity functions, large data volume and better efficiency. LSH is one of the most widely adopted methods for answering similarity queries, and used widely in computer science. The project is expected to provide frontier technology to applications to combat crimes in the cybersecurity space, and lead to more intelligent and real-time analys ....Locality sensitive hashing for big data. This project aims to solve problems to applying locality sensitive hashing (LSH) to Big Data, namely handling new similarity functions, large data volume and better efficiency. LSH is one of the most widely adopted methods for answering similarity queries, and used widely in computer science. The project is expected to provide frontier technology to applications to combat crimes in the cybersecurity space, and lead to more intelligent and real-time analysis of Big Data.Read moreRead less
Comparative Biogeography of Australasian biota. Establishing an internationally recognised biogeographical research program will help scientists, policy makers and the public understand the past and future distribution patterns of the plants and animals of Australia. Discovering these patterns will help conservation biologists and government implement the right policies and practices to deal with biodiversity loss and climate change.
What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and econo ....What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and economy such as emergency and disaster management and online healthcare. This project also serves as an excellent vehicle for the education and training of Australia’s next generation of scholars and engineers.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100509
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Effective Recommendation for Web of Things. This project seeks to generate novel techniques for the efficient recommendation of things by the smart use of information generated from the ‘Internet of things’. The ‘Internet of things’ will connect billions of physical things over the web, which will offer exciting capabilities to improve the quality of human lives. This project focuses on effective recommendation of things of interest, and aims to develop new techniques and a set of software tools ....Effective Recommendation for Web of Things. This project seeks to generate novel techniques for the efficient recommendation of things by the smart use of information generated from the ‘Internet of things’. The ‘Internet of things’ will connect billions of physical things over the web, which will offer exciting capabilities to improve the quality of human lives. This project focuses on effective recommendation of things of interest, and aims to develop new techniques and a set of software tools for effectively and proactively discovering and recommending things. The result of this project may underpin applications (eg smart cities) that will contribute to Australian society and the national economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100251
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Trust-aware internet of things service recommendation. This project aims to develop innovative techniques and tools to recommend Internet of Things resources as services for trustworthy and cost-effective applications. Internet of Things connects billions of physical things over the Web, offering exciting opportunities to improve life quality and reshape human society. The project is expected to underpin innovative applications like smart home, urban computing, and mobile social sensing, which c ....Trust-aware internet of things service recommendation. This project aims to develop innovative techniques and tools to recommend Internet of Things resources as services for trustworthy and cost-effective applications. Internet of Things connects billions of physical things over the Web, offering exciting opportunities to improve life quality and reshape human society. The project is expected to underpin innovative applications like smart home, urban computing, and mobile social sensing, which can significantly contribute to Australian society and the national economy. It also holds the potential to place Australia at the forefront of research and development in the vibrant and growing area of trustworthy Internet of Things.Read moreRead less