Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algori ....Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algorithms for applied researchers. This project benefits not only advanced manufacturing by finding optimal stopping time for wood panel compression, but also superior forecasting for mortality in demography, climate data in environmental science, asset returns in finance, and electricity consumption in economics. Read moreRead less
Developing And Applying Biologically Plausible Statistical Models For Normal And Non-normal Family Data
Funder
National Health and Medical Research Council
Funding Amount
$339,700.00
Summary
Although molecular and computing advances have enabled more detailed investigations of inherited diseases and the ability to fit realistic statistical models to these data, limitations still exist when analysing family data. Often only basic statistical analyses are performed, due to the lack of understanding of complexities within the data and-or inability of researchers to fit appropriate statistical models. These factors have hampered the search for genes and environmental factors influencing ....Although molecular and computing advances have enabled more detailed investigations of inherited diseases and the ability to fit realistic statistical models to these data, limitations still exist when analysing family data. Often only basic statistical analyses are performed, due to the lack of understanding of complexities within the data and-or inability of researchers to fit appropriate statistical models. These factors have hampered the search for genes and environmental factors influencing common diseases. This project aims to develop novel, biologically realistic statistical models for investigation of common, complex diseases, such as heart disease and cancer, in families. These models will incorporate both measured and unmeasured genetic and environmental factors, and will be applicable to both normally distributed and non-normally distributed traits. Model fitting will use computer-intensive simulation techniques. Application of the models to data from two large pre-existing studies of international renown, the Victorian Family Heart Study and the Australian Prostate Cancer Family Study, will enable a better understanding of the genetic and environmental factors influencing heart disease and cancer. The models will also be applicable to many other studies of diseases which use data from families, and allow more accurate and useful information to be obtained from data. Software will also be made freely available to other researchers. This will ultimately translate into better outcomes from familial genetic research, and eventually, better prevention, detection, and treatment of the diseases.Read moreRead less
Variable Structure Complex Network Systems with Smart Grid Applications. This project aims to establish a breakthrough theory and technology to help deliver reliability and security of complex network systems, which are subject to structure changes, against faults and cyberattacks. Expected outcomes include a new theory that lays the foundation for understanding such systems, innovative algorithms and tools for their design, and a practical software platform used for ensuring reliability and sec ....Variable Structure Complex Network Systems with Smart Grid Applications. This project aims to establish a breakthrough theory and technology to help deliver reliability and security of complex network systems, which are subject to structure changes, against faults and cyberattacks. Expected outcomes include a new theory that lays the foundation for understanding such systems, innovative algorithms and tools for their design, and a practical software platform used for ensuring reliability and security of such systems. It will be applied directly to critical infrastructure such as the national power grid to help maintain lifeline resilience and achieve economic benefits. It will also provide an opportunity to train the next generation engineers in this cutting-edge technology for Australia.Read moreRead less
Practical Tools For Robust Analysis Of Large Epidemiological Studies With Incomplete Data
Funder
National Health and Medical Research Council
Funding Amount
$358,492.00
Summary
Studies of the causes and consequences of health outcomes follow large cohorts of individuals for long time periods. A major challenge in analysing data from these studies is that information is often incomplete. Participants rarely complete all waves of data collection, or provide all requested information. Statistical research has led to increased use of a statistical method (multiple imputation) that recovers information from incomplete cases. This project will develop and improve this method
Analysis and classification of malicious code. Malicious software such as viruses and worms directly attacks the security, privacy and integrity of Australian e-commerce, large databases and communication channels. The recent uptake of malicious software by organised crime has made finding effective countermeasures more urgent. Around 80% of the malicious code in circulation is disguised in some way. This significantly increases the difficulty of automated detection and delays analysis. Automate ....Analysis and classification of malicious code. Malicious software such as viruses and worms directly attacks the security, privacy and integrity of Australian e-commerce, large databases and communication channels. The recent uptake of malicious software by organised crime has made finding effective countermeasures more urgent. Around 80% of the malicious code in circulation is disguised in some way. This significantly increases the difficulty of automated detection and delays analysis. Automated classification and de-obfuscation technologies are a precondition to applying more sophisticated detection heuristics. The project will be instrumental in safeguarding Australia by protecting critical infrastructure and defending us from online organised crime and information warfare.Read moreRead less
Iterative subspace expansions for space-time adaptive wireless communications, radar and sonar. This project addresses the fundamental challenge of high receiver complexity for bandwidth-efficient, high data-rate wireless communications, radar and sonar. We do this by designing the signal transmissions so that smart receivers can detect the signals in "warp speed". We expect these results to have an immediate impact on the design of next generation communications technologies. Information and Co ....Iterative subspace expansions for space-time adaptive wireless communications, radar and sonar. This project addresses the fundamental challenge of high receiver complexity for bandwidth-efficient, high data-rate wireless communications, radar and sonar. We do this by designing the signal transmissions so that smart receivers can detect the signals in "warp speed". We expect these results to have an immediate impact on the design of next generation communications technologies. Information and Communications Technology (ICT) has been recognised by the Australian Government as a National Research Priority. This research project will contribute to the intellectual property in ICT held by Australia, and help supply Australian industries with the knowledge necessary to participate in the development of frontier technologies.Read moreRead less
Dynamical systems and iterative decoding of low-density parity-check codes. Modern telecommunication systems are increasingly built on principles of iteration and feedback. By contributing to the knowledge base of iterative telecommunication systems, this project addresses important fundamental problems in the area of telecommunications. The Federal Government has clearly indicated that it recognises the importance that information and communications technology (ICT) plays in the economic and so ....Dynamical systems and iterative decoding of low-density parity-check codes. Modern telecommunication systems are increasingly built on principles of iteration and feedback. By contributing to the knowledge base of iterative telecommunication systems, this project addresses important fundamental problems in the area of telecommunications. The Federal Government has clearly indicated that it recognises the importance that information and communications technology (ICT) plays in the economic and social fabric of Australia, through the recent Innovation Action Plan, Backing Australia's Ability. These technologies are key drivers of the information economy, the spawning of new businesses, the transformation of established industries, the opening up of new export markets, and the creation of new jobs.Read moreRead less
Smart coding for improved performance of complexity constrained devices. The technical innovations of this project have the potential to have an immediate impact on compression technology. The overall expected outcome of the project consists of new compression algorithms for the australian telecommunications industry. The novel outcomes of the project lead to better quality images in video mobile communications applications. As such, the project operates at the forefront of innovative next gener ....Smart coding for improved performance of complexity constrained devices. The technical innovations of this project have the potential to have an immediate impact on compression technology. The overall expected outcome of the project consists of new compression algorithms for the australian telecommunications industry. The novel outcomes of the project lead to better quality images in video mobile communications applications. As such, the project operates at the forefront of innovative next generation mobile video telephony.Read moreRead less
New Evidence To Guide Decisions About The Prevention And Treatment Of Common Cardiovascular Diseases.
Funder
National Health and Medical Research Council
Funding Amount
$7,309,675.00
Summary
The Program brings together clinicians, epidemiologists and statisticians in a unique endeavour designed to improve the prevention and treatment of heart attack and stroke. For the foreseeable future, these conditions will remain leading causes of death and disease in Australia and most other countries in the region. While there are many established treatment and prevention strategies for these conditions there remains great potential for further advances to be made, which might avert very large ....The Program brings together clinicians, epidemiologists and statisticians in a unique endeavour designed to improve the prevention and treatment of heart attack and stroke. For the foreseeable future, these conditions will remain leading causes of death and disease in Australia and most other countries in the region. While there are many established treatment and prevention strategies for these conditions there remains great potential for further advances to be made, which might avert very large numbers of premature deaths and serious disabling outcomes. This Program of research seeks to provide new information that will give patients, doctors and policy makers innovative options for the treatment and prevention of heart attack and stroke. The Program will incorporate two main elements: observational studies and randomised controlled trials. The observational studies will establish the precise importance of each of the main causes of cardiovascular diseases (such as diabetes, blood pressure, smoking and cholesterol) at different ages, in different ethnic groups and in different geographic regions. Furthermore, these studies will also define the relative importance of established and novel risk factors for cardiovascular disease, providing important new information about how resources for prevention should be directed. The large-scale trials will provide evidence about the effectiveness and safety of a range of new cardiovascular disease prevention and treatment strategies. The work will build on the team�s very successful approach of evaluating the effects of established interventions in high-risk groups for whom those particular treatments are not currently indicated.The Program will also include studies that address the critical issue of translating health research findings into practice _ in terms of health policy, clinical practice and consumer behaviour. A particular focus involves the application and evaluation of novel Internet technologies for promoting best practice. The methodologies used by the team will ensure that the evidence generated by the Program is as precise and reliable as possible, in order to provide a sound base to guide decisions about changes in health care policy and practice. The research findings will have direct relevance to the healthcare needs of millions of Australians within the next five years, and the impact of the work will be assured by the development of implementation and dissemination plans for each major component of the Program.Read moreRead less