Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this projec ....Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this project will be suitable for more than medical surveillance data; it will also improve the processing of other kinds of massive stream data (for example data from remote sensors, communication networks and other dynamic environments). The project involves a scientifically rich collaboration that will enhance the skills of PhD students and staff and drive the field forward.Read moreRead less
Music Usage Metrics and the Future of the Australian Music Industry. This project aims to conduct a comprehensive and systematic examination of changing music consumption patterns in Australia in an era of digital downloads. Based on a comprehensive longitudinal dataset on music use in Australia provided by industry partners, the project plans to use innovative computational methods to develop and test evidence-based models for generating, sharing and distributing music revenues. It also plans t ....Music Usage Metrics and the Future of the Australian Music Industry. This project aims to conduct a comprehensive and systematic examination of changing music consumption patterns in Australia in an era of digital downloads. Based on a comprehensive longitudinal dataset on music use in Australia provided by industry partners, the project plans to use innovative computational methods to develop and test evidence-based models for generating, sharing and distributing music revenues. It also plans to examine the current and future uses of music usage data in decision-making processes in music organisations, as well as the potential consequences of such use for practitioners and industry stakeholders. The project aims to support the future growth of the Australian music industry.Read moreRead less
Visual tracking with environmental constraints. By incorporating high level scene understanding into visual tracking, this project will improve the capacity to monitor and analyse complex patterns of activity in video. This has many applications in public safety and security, but the project will demonstrate it on the challenging task of tracking players during an Australian Football League (AFL) game to gather statistics on their performance.
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Lightweight security framework for Low-Power Wide-Area Network (LPWAN). This project aims to design and implement a lightweight security framework for Low Power Wide Area Networks (LPWAN). Smart cities are estimated to have a worldwide market value of US$1.5 trillion by 2020, and LPWAN will provide connectivity to 90% of low bandwidth, smart city applications such as smart metres and smart buildings. Many of these applications are deployed in mission-critical infrastructure such as airport, trai ....Lightweight security framework for Low-Power Wide-Area Network (LPWAN). This project aims to design and implement a lightweight security framework for Low Power Wide Area Networks (LPWAN). Smart cities are estimated to have a worldwide market value of US$1.5 trillion by 2020, and LPWAN will provide connectivity to 90% of low bandwidth, smart city applications such as smart metres and smart buildings. Many of these applications are deployed in mission-critical infrastructure such as airport, train station, hospital and government campuses, which have strong security requirements. Before the ubiquitous deployment of such new technology, a strong security framework needs to be developed and implemented to minimise enormous economic and social consequences of future malicious attacks to LPWAN.Read moreRead less
Techniques for active conceptual modelling and guided data mining for rapid knowledge discovery. Quick, accurate responses to rapidly evolving phenomena are essential. This project will develop a platform able to accept data from a variety of sources in advance of the full definition of the associated conceptual model. The project will facilitate rapid querying and direct manipulation of the mining process allowing fast, user-oriented results.
An integrated and real-time passenger travel and public transport service information system. This project will help the Department of Transport provide improved services to the public through a better understanding of journey planning demands in comparison to public transport services. By integrating research through design methods with technological solutions, the project will deliver better quality of service and higher customer satisfaction.
Active Management of Complex Non-self-finalising Behaviours through Deep Analytics. This project aims to build theoretical breakthroughs and novel tools for deep analytics and active management of non-self-finalising (NSF) individual and business behaviours, which are sophisticated and increasingly seen in public sectors such as taxation and business including banking and insurance. The challenging economic environment continues to make managing NSF behaviours difficult. To date, there are no su ....Active Management of Complex Non-self-finalising Behaviours through Deep Analytics. This project aims to build theoretical breakthroughs and novel tools for deep analytics and active management of non-self-finalising (NSF) individual and business behaviours, which are sophisticated and increasingly seen in public sectors such as taxation and business including banking and insurance. The challenging economic environment continues to make managing NSF behaviours difficult. To date, there are no sufficient theories or effective systems in data mining and behavioural science to systematically learn the intent, impact and patterns of NSF behaviours, and to suggest cost-effective responses to these behaviours. This project aims to ensure Australia’s leading role in innovation for evidence-driven enterprise behaviour analytics and management.Read moreRead less
Detecting significant changes in organisation-customer interactions leading to non-compliance. The instant detection of risky customer and/or group dynamics and business policy and/or process changes dispersed in normal interactions can avoid immense losses and inconsistent policies for Government and industries, such as preventing Centrelink customer debt. This project will deliver novel analytical techniques and smart information use to effectively detect the above-mentioned changes leading to ....Detecting significant changes in organisation-customer interactions leading to non-compliance. The instant detection of risky customer and/or group dynamics and business policy and/or process changes dispersed in normal interactions can avoid immense losses and inconsistent policies for Government and industries, such as preventing Centrelink customer debt. This project will deliver novel analytical techniques and smart information use to effectively detect the above-mentioned changes leading to non-compliance. It will enhance service quality, compliance, payment accuracy and policy design for the Australian Government and industries such as Centrelink, the Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA), banking and insurance. The resulting systems, the researchers trained and resulting publications will significantly enhance Australia's leading role in tackling change-driven non-compliance.Read moreRead less
New real-time risk indicators to improve the efficiency, environmental impact and safety of air traffic management. Air-traffic demand is constantly rising, and Australia is responsible for the management of 11 per cent of the world's airspace. This project aims to develop risk indicators which will enable us to monitor air-safety risks on a constantly updated basis.