Industrial Transformation Training Centres - Grant ID: IC200100022
Funder
Australian Research Council
Funding Amount
$4,883,406.00
Summary
ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge researc ....ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge research, to lift the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets. Read moreRead less
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
Secure quantum computing in a distributed world. This project aims to design protocols for secure cloud quantum computing, where clients can license the use of a host’s computer, while keeping their data secure from both eavesdroppers and the host. Quantum computers will transform the computational landscape of the 21st century, but will be affordable by few. Finding models for sharing quantum computing resources in a distributed environment is essential. Data security is important to clients – ....Secure quantum computing in a distributed world. This project aims to design protocols for secure cloud quantum computing, where clients can license the use of a host’s computer, while keeping their data secure from both eavesdroppers and the host. Quantum computers will transform the computational landscape of the 21st century, but will be affordable by few. Finding models for sharing quantum computing resources in a distributed environment is essential. Data security is important to clients – typical applications for quantum computing will involve commercially or strategically sensitive data. Developing these security protocols is expected to enable the commercialisation of quantum computing, enhancing their adoption and accessibility.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100964
Funder
Australian Research Council
Funding Amount
$427,068.00
Summary
Early Prediction in Large-scale Time-variant Information Networks. This project aims to develop an early prediction system to predict possible outbreaks of malicious messages in time-variant information networks. The research will primarily leverage deep representations of time-variant subsequence and substructure patterns in large-scale social networks to signal malicious and malevolent messages before it has a chance to propagate. This project will lay the theoretical foundations of this emerg ....Early Prediction in Large-scale Time-variant Information Networks. This project aims to develop an early prediction system to predict possible outbreaks of malicious messages in time-variant information networks. The research will primarily leverage deep representations of time-variant subsequence and substructure patterns in large-scale social networks to signal malicious and malevolent messages before it has a chance to propagate. This project will lay the theoretical foundations of this emerging field to strengthen Australia’s world leadership role in data science. Practically, the novel theories and data analytics technologies developed will help to safeguard Australian business, industry, and society from cyberfraud, online rumour-mongering, and financial loss.Read moreRead less
Outmaneuvering correlated noise in quantum computers. The project aims to characterise and control quantum machines available today. These machines overwhelmingly suffer from noise with complex structures. Thus, a key target of the project is to develop a theory to describe and manipulate complex quantum processes. The project then intends to apply this theory to commercial-grade quantum computers. This approach is anticipated to lead to a new understanding of time-correlated complex quantum pro ....Outmaneuvering correlated noise in quantum computers. The project aims to characterise and control quantum machines available today. These machines overwhelmingly suffer from noise with complex structures. Thus, a key target of the project is to develop a theory to describe and manipulate complex quantum processes. The project then intends to apply this theory to commercial-grade quantum computers. This approach is anticipated to lead to a new understanding of time-correlated complex quantum processes and develop methods to enhance the performance of today's quantum computers. Noise characterisation and mitigation should have commercial value and benefit research groups working to develop quantum technologies, both in Australia and internationally.Read moreRead less
Deep Pattern Mining for Brain Graph Analysis: A Data Mining Perspective. This project brings together experts in the fields of data mining and cognitive neuroscience. This project aims to develop new data analytics tools, algorithms, and models to combine complex multi-source neuroimage brain data and non-imaging data, to explore the interplays among these different data structures and identify novel functional patterns from complex brain graph structures. The research undertaken in this project ....Deep Pattern Mining for Brain Graph Analysis: A Data Mining Perspective. This project brings together experts in the fields of data mining and cognitive neuroscience. This project aims to develop new data analytics tools, algorithms, and models to combine complex multi-source neuroimage brain data and non-imaging data, to explore the interplays among these different data structures and identify novel functional patterns from complex brain graph structures. The research undertaken in this project expects to provide practical data analysis approaches and establish the theoretical foundations for data mining with multiple sources of brain data.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
Compression of distributed data: bridging the gap between theory and practice. In bushfire and tsunami early warning systems, environmental monitoring and healthcare applications, distributed sensors collect and transmit correlated data. This project will design novel data compression algorithms that exploit this correlation to dramatically increase the performance of existing networks and enable new applications.
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
Discovery Early Career Researcher Award - Grant ID: DE170101371
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Designer defects in diamond for solid state quantum networks. This project aims to develop an artificial atom in diamond that can connect to other nodes in a network. Network connectivity and data distribution are increasingly important in today's information economy. Tiny glowing artificial atoms in coloured diamonds can receive, store and send information in a network using laser light and microwaves. Because they work at the level of individual atoms and photons, they can use quantum-weirdnes ....Designer defects in diamond for solid state quantum networks. This project aims to develop an artificial atom in diamond that can connect to other nodes in a network. Network connectivity and data distribution are increasingly important in today's information economy. Tiny glowing artificial atoms in coloured diamonds can receive, store and send information in a network using laser light and microwaves. Because they work at the level of individual atoms and photons, they can use quantum-weirdness to achieve feats impossible even for supercomputers on the classical internet. The proposed device is expected to make it easier to construct technologies that move beyond the limitations of existing infrastructure thus satisfying the unmet core requirements for a quantum network.Read moreRead less