Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Special Research Initiatives - Grant ID: SR0354880
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Building trust in Australia's infrastructure: dealing with scientific, technological, business, policy and legal issues in information security. Australia is faced with the challenge of engendering trust in, and protecting, the information systems vital to the economic and social development of the nation. This initiative will produce a national direction for research, development and educational activities in information security with particular emphasis on the protection of the national intere ....Building trust in Australia's infrastructure: dealing with scientific, technological, business, policy and legal issues in information security. Australia is faced with the challenge of engendering trust in, and protecting, the information systems vital to the economic and social development of the nation. This initiative will produce a national direction for research, development and educational activities in information security with particular emphasis on the protection of the national interest. It will do so by bringing together for the first time, academic, government and business people from a vast array of backgrounds, and whose interests lie across a spectrum of commercial, legal, policy and research outcomes.Read moreRead less
Real-time internet of thing algorithms with performance guarantees. This project aims to provide efficient, distributed resource allocation algorithms that can perform satisfactorily within time limits imposed by real-time systems. Real-time Internet of Things (IoT) devices will play a significant role in future transport technologies, such as autonomous vehicles and smart traffic management, and will place significant demands upon distributed computing systems to provide timely information upda ....Real-time internet of thing algorithms with performance guarantees. This project aims to provide efficient, distributed resource allocation algorithms that can perform satisfactorily within time limits imposed by real-time systems. Real-time Internet of Things (IoT) devices will play a significant role in future transport technologies, such as autonomous vehicles and smart traffic management, and will place significant demands upon distributed computing systems to provide timely information updates. The computing challenge is to provide reliable, accurate and timely information to IoT devices. The outcomes of this project will directly be beneficial to a variety of IoT applications in transportation, autonomous vehicles, and smart cities. The valuable engineering insights and novel algorithms will support industry, government, and practitioners for future real-time IoT design and deployments.Read moreRead less
Tools and models for measuring and predicting growth in internet addressing and routing complexity. We analyse patterns in the allocation and actual use of Internet Protocol version 4 (IPv4) addresses to predict the technical and market pressures for deployment of IPv6. The utilisation models will help evaluate the potential for emerging markets in scarce IPv4 address prefixes to increase costs to the end-users of Australia's future national broadband network.
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts ....Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts existing knowledge to new domains, and provide explanations to the graph learning system. The research results should provide benefit to governments and businesses in many critical applications, such as bioassay activity prediction, credit assessment, and drug discovery and vaccine development in response to the pandemic.Read moreRead less