Improving Global Tuberculosis Control With The AuTuMN Platform
Funder
National Health and Medical Research Council
Funding Amount
$655,059.00
Summary
Tuberculosis (TB) is the world’s leading infectious killer, with the failure of global control responsible for the vast majority of Australia’s cases. Using our robustly developed software platform, we have performed several country-level studies to predict the future burden of disease and compare the impact of alternative responses to controlling the epidemic. In this project, we will extend our platform to perform simulations at the global level and answer key questions in TB control.
A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driv ....A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industry-scale autonomous systems.Read moreRead less
Preterm birth is a major cause of neonatal death and cerebral palsy. This grant will provide proof-of-concept that a computer program can be developed to predict a pregnant woman�s risk of preterm birth. There is a large market (4M US and 8M Europe), there are no competing technologies. This is a unique collaboration between Biomedical Engineering and an Australian centre with an international reputation in preterm birth, assisted by a pathology company.
Systems to Support Knowledge Creation in Learning Organisations. The proposed project will investigate the capacity of IT to support knowledge making for innovation in modern organisations. Prototypes of three flexible computer-based systems will be iteratively developed and evaluated for their support of knowledge workers in three different industries. The investigators are experienced in socio-technical approaches, which will be used to emphasise the integration between people and IT systems ....Systems to Support Knowledge Creation in Learning Organisations. The proposed project will investigate the capacity of IT to support knowledge making for innovation in modern organisations. Prototypes of three flexible computer-based systems will be iteratively developed and evaluated for their support of knowledge workers in three different industries. The investigators are experienced in socio-technical approaches, which will be used to emphasise the integration between people and IT systems. An interpretive study will determine how the systems can contribute to organisational learning, performance, and responsiveness to change. The outcomes will inform the designers of such systems and show Australian organisations how to gain competitive advantage by expanding their capacity to learn.Read moreRead less
Mining Multiple Information Sources through Collaborative and Comparative Analysis. Mining multiple information sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a numb ....Mining Multiple Information Sources through Collaborative and Comparative Analysis. Mining multiple information sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a number of high quality publications to enhance Australia's international foremost standing in the data mining community. The project will involve highly trained and skilled researchers and practitioners to advance the workforce development in the Australian information technology industry and ensure the healthy growth of the economy.Read moreRead less
Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed b ....Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed by academics. We hypothesise that current 3D relational visualization methods fail because they do not pay attention to the human perception of topology. In this project we will leverage mathematical topology to construct new methods for the 3D visualization of relational data.
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New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive f ....New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive feedback loop in the course of research into both topics.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.
Fuzzy Transfer Learning for Prediction in Data-Shortage and Rapidly-Changing Environments. Collecting sufficient up-to-date data to train a learning model for data analysis and prediction is difficult and expensive. This project will develop a Fuzzy Transfer Learning methodology, using Information Granularity theory, that exploits data with different features and/or distributions available in other, similar systems, to provide accurate learning-based prediction for current problems. It will esta ....Fuzzy Transfer Learning for Prediction in Data-Shortage and Rapidly-Changing Environments. Collecting sufficient up-to-date data to train a learning model for data analysis and prediction is difficult and expensive. This project will develop a Fuzzy Transfer Learning methodology, using Information Granularity theory, that exploits data with different features and/or distributions available in other, similar systems, to provide accurate learning-based prediction for current problems. It will establish a new research direction, Fuzzy Transfer Learning for Prediction, and the outcomes will enable government and industry to better use past experience to make more accurate predictions and decisions. Highly significant benefits will also accrue in the data analytics, business intelligence and decision making research fields.Read moreRead less
Engineering safe decision support systems for healthcare. System safety is critical to the success of large-scale computerisation being undertaken to improve the quality of health services delivery worldwide. The research program will develop innovative tools and methods to improve the safety of clinical information systems. The focus on electronic prescribing systems will ensure that the outcomes of this research will have immediate impact on reducing medication errors which are a significant p ....Engineering safe decision support systems for healthcare. System safety is critical to the success of large-scale computerisation being undertaken to improve the quality of health services delivery worldwide. The research program will develop innovative tools and methods to improve the safety of clinical information systems. The focus on electronic prescribing systems will ensure that the outcomes of this research will have immediate impact on reducing medication errors which are a significant public health issue both nationally and internationally. Read moreRead less