STROKE123: A Collaborative, National Effort To Monitor, Promote And Improve The Quality Of Stroke Care In Hospitals And Patient Outcomes.
Funder
National Health and Medical Research Council
Funding Amount
$1,261,292.00
Summary
Stroke is a major public health issue in Australia. This Better Health Initiative partnership project is designed to rigorously evaluate a methodology to improve the monitoring and use of data for stroke, as well as an intervention to address evidence-practice gaps for essential interventions known to have a direct association with patient outcomes. The findings will provide a platform for national roll-out of appropriate and enhanced data collection solutions linked to an effective model for im ....Stroke is a major public health issue in Australia. This Better Health Initiative partnership project is designed to rigorously evaluate a methodology to improve the monitoring and use of data for stroke, as well as an intervention to address evidence-practice gaps for essential interventions known to have a direct association with patient outcomes. The findings will provide a platform for national roll-out of appropriate and enhanced data collection solutions linked to an effective model for improving clinical care and outcomes of stroke.Read moreRead less
Understanding The Connections Between Aboriginal And Torres Strait Islander Culture, Health And Wellbeing To Support Action To Improve Outcomes
Funder
National Health and Medical Research Council
Funding Amount
$1,915,802.00
Summary
Little is known about the inter-relationship of cultural factors and Aboriginal and Torres Strait Islander health outcomes and these relationships have not been quantified. Through a large cohort study, this research will produce data that combines standard health measures with newly developed quantitative measures of cultural factors, supported by data linkage infrastructure. Robust analytical methods will be used to inform policy and program development.
Differential Evolution Framework for Intelligent Charging Scheduling. Smart charging scheduling is a vital challenge as dynamic environment with traffic networks and various unexpected issues. This project aims to develop a differential evolution framework for intelligent charging scheduling. The framework consists of a comprehensive charging scheduling model with various road networks and factors. The project outcomes include a distributed evolutionary computation framework, differential evolut ....Differential Evolution Framework for Intelligent Charging Scheduling. Smart charging scheduling is a vital challenge as dynamic environment with traffic networks and various unexpected issues. This project aims to develop a differential evolution framework for intelligent charging scheduling. The framework consists of a comprehensive charging scheduling model with various road networks and factors. The project outcomes include a distributed evolutionary computation framework, differential evolution algorithms, and cooperative co-evolutionary strategies. The outcome results will be demonstrated by practical evaluations over public datasets and comparisons to related works. The project is beneficial to the nation in both theory of artificial intelligence techniques and applications of real transport systems.Read moreRead less
A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise th ....A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise the mobile edge computing platform from the computation, storage, and network aspects. The invented mobile edge computing platform will enable more intelligent business applications for various industries, e.g., IT, manufacturing, and media, to appear, thus benefiting both the economy of Australia.Read moreRead less
Energy Transitions, Air Pollution And Health In Australia
Funder
National Health and Medical Research Council
Funding Amount
$2,491,229.00
Summary
Emissions from burning biomass (including fossil fuels) are major features of our environment and are the 4th leading global risk factor for premature death. As countries shift their patterns of energy use in response to global warming, new challenges are emerging. Understanding this is crucial to our ability to maintain health and stability in uncertain times. This CRE will examine the health consequences of (1) fossil fuel combustion, (2) landscape fires and (3) alternatives to fossil fuels.
Glaucoma is the second leading cause of blindness in the world affecting approximately 70 million people. Glaucoma can occur at any age but the commonest type occurs in middle to old age. The disease has a genetic basis and can be inherited. As a result we have been studying the genetics of the disease in two large families from Tasmania. We hope to identify the genes involved in disease causation using a number of genetic techniques. Once mutations in a disease gene have been identified from af ....Glaucoma is the second leading cause of blindness in the world affecting approximately 70 million people. Glaucoma can occur at any age but the commonest type occurs in middle to old age. The disease has a genetic basis and can be inherited. As a result we have been studying the genetics of the disease in two large families from Tasmania. We hope to identify the genes involved in disease causation using a number of genetic techniques. Once mutations in a disease gene have been identified from affected individuals we will then be in a position to look for mutations in other family members and identify those individuals at risk of developing disease. Improvements in our understanding of how these genes are involved in disease causation will allow us to offer diagnostic testing to the wider community and develop better therapeutic interventions for treatment.Read moreRead less
Efficient and effective methods for classifying massive time series data. This project aims to transform the theory and practice of time series classification. The current state of the art cannot handle the massive numbers of time series that describe many critical problems facing humanity, such as disease transmission and climate change. This project seeks to develop methods that can analyse dynamic processes at global scale, delivering the most accurate classifiers feasible within a given comp ....Efficient and effective methods for classifying massive time series data. This project aims to transform the theory and practice of time series classification. The current state of the art cannot handle the massive numbers of time series that describe many critical problems facing humanity, such as disease transmission and climate change. This project seeks to develop methods that can analyse dynamic processes at global scale, delivering the most accurate classifiers feasible within a given computational budget. Expected outcomes of this project include efficient, effective and broadly applicable time series classification technologies. This should provide significant benefits to myriad sectors, transforming data science for time series problems and supporting innovation in industry, commerce and government.Read moreRead less
XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contr ....XML Views of Relational Databases: Semantics and Update Problems. XML is the standard for representing, publishing and exchanging data over the Internet and relational database is the dominant technology for data management. Updating XML views over relational data is fundamental to bring these two technologies together to serve Internet-based applications. Australia has been a leading country in both developing and applying internet technologies. The theoretic outcomes of this project will contribute to the advance in database and web research communities and establish us as an internationally leading group in this research area. The technological outcomes will help organisations in Australia effectively and efficiently conduct e-Business on the Internet. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100165
Funder
Australian Research Council
Funding Amount
$443,847.00
Summary
Evolving privacy and utility in data storage and publishing. This project aims to develop a distributed evolutionary computation-based framework to optimize data privacy and utility in distributed database systems. It intends to synchronously solve the conflicting challenges of privacy preservation and utility maintenance in multi-objective, dynamic, and multitasking scenarios. Expected outcomes include a new computation framework as a service and freely available distributed computation models, ....Evolving privacy and utility in data storage and publishing. This project aims to develop a distributed evolutionary computation-based framework to optimize data privacy and utility in distributed database systems. It intends to synchronously solve the conflicting challenges of privacy preservation and utility maintenance in multi-objective, dynamic, and multitasking scenarios. Expected outcomes include a new computation framework as a service and freely available distributed computation models, evolutionary algorithms, and knowledge-transfer strategies. Anticipated benefits include theoretical contributions to artificial intelligence, cyber security, distributed computation, and a service to eliminate data owners’ privacy concerns while guaranteeing the value of data in further utilization.Read moreRead less
Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical cluste ....Fast effective clustering technologies for highly dynamic massive networks. Clustering is a fundamental data mining and analysis task. In an interconnected evolving world, friendships and information flows are modelled as large dynamic networks. Structural clustering and correlation clustering are important and well-studied approaches for static networks; for evolving networks, where links appear and disappear over time, we lack efficient techniques. Anticipated outcomes are new practical clustering algorithms for dynamic networks – with performance guarantees of efficiency and clustering quality – and prototype software, guiding us to pick a good clustering. Expected benefits include better understanding of spread in evolving social networks, accelerating the software testing cycle, and improved topic detection.Read moreRead less