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 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
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
Solar-driven massive hydrogen production from biomass and biomass/coal mixtures by supercritical water gasification. Cheap and massive hydrogen production from renewable resources is one of the key challenges to achieve a hydrogen economy that promises to ultimately solve critical problems, such as energy depletion and climate change. This project exactly falls into this research and development priority and will benefit Australian economy and environment.
An integrative and distributed data management and workflow framework for e-research in biomedical imaging. This project will develop new tools for neuroimaging research: (i) efficient distributed infrastructure and workflow capabilities and (ii) semantic tools using existing ontological frameworks and specific neuroimaging ontologies.
These new capabilities will significantly enhance the productivity of neuroimaging research.
Multiscale geomechanical modelling of basin-scale CO2 storage. This project aims to develop innovative geomechanical models that will provide rapid assessments of the potential for reservoir deformation, including induced seismicity, during geological storage of CO2. The main expected outcome is a multiscale modelling approach that will help to identify storage locations at low risk for deformation and CO2 leakage in regions of little existing geomechanical data. The project will elucidate the .... Multiscale geomechanical modelling of basin-scale CO2 storage. This project aims to develop innovative geomechanical models that will provide rapid assessments of the potential for reservoir deformation, including induced seismicity, during geological storage of CO2. The main expected outcome is a multiscale modelling approach that will help to identify storage locations at low risk for deformation and CO2 leakage in regions of little existing geomechanical data. The project will elucidate the technical and commercial viability of CO2 storage in Australia’s Cooper-Eromanga basins and provide broad economic and environmental benefits by reducing the geomechanical uncertainties that provide a barrier to the global need to upscale carbon capture and storage.Read moreRead less
Open Standards design for improved road network information exchange. Open Standards design for improved road network information exchange. This project aims to design a draft digital open source performance-based construction contract specification for delivering road construction information to operational network asset management. This will be a common information exchange specification for all road agencies to standardise exchange of their assets data. Road network construction and maintenan ....Open Standards design for improved road network information exchange. Open Standards design for improved road network information exchange. This project aims to design a draft digital open source performance-based construction contract specification for delivering road construction information to operational network asset management. This will be a common information exchange specification for all road agencies to standardise exchange of their assets data. Road network construction and maintenance costs $21 billion annually, but the outcome of this project is expected to save $65 to $130 million annually through data harmonisation. This project is at the leading edge of information management for roads and is expected to change several international standards.Read moreRead less
Electrochemical conversion of carbon dioxide to formic acid. This project aims to develop economical and scalable carbon dioxide electrochemical technologies to convert carbon dioxide in blast furnace flue gas to formic acid as a value-added product in steel-making plants. The project expects to develop new electrochemical catalysts, to optimise the structure of electrodes and ultimately improve carbon dioxide conversion efficiency and reaction selectivity towards formic acid. The expected outco ....Electrochemical conversion of carbon dioxide to formic acid. This project aims to develop economical and scalable carbon dioxide electrochemical technologies to convert carbon dioxide in blast furnace flue gas to formic acid as a value-added product in steel-making plants. The project expects to develop new electrochemical catalysts, to optimise the structure of electrodes and ultimately improve carbon dioxide conversion efficiency and reaction selectivity towards formic acid. The expected outcomes of this project will provide an efficient and economically viable electrochemical technology to convert carbon dioxide to a valuable product such as formic acid or syngas, with the potential to significantly reduce the emission of carbon dioxide from steel-making processes and coal-fired power plants.Read moreRead less