ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this ....ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this Centre is to create innovative mathematical and statistical models that can uncover the knowledge concealed within the size and complexity of these big data sets, with a focus on using the models to deliver insight into problems vital to the Centre's Collaborative Domains: Healthy People, Sustainable Environments and Prosperous Societies.Read moreRead less
Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the mat ....Classification methods for providing personalised and class decisions. This project provides a novel approach to the clustering of multivariate samples on entities in a class that automatically matches the sample clusters across the entities, allowing for inter-sample variation between the samples in a class. The project aims to develop a widely applicable, mixture-model-based framework for the simultaneous clustering of multivariate samples with inter-sample variation in a class and for the matching of the clusters across the entities in the class. The project will use a statistical approach to automatically match the clusters, since the overall mixture model provides a template for the class. It will provide a basis for discriminating between different classes in addition to the identification of atypical data points within a sample and of anomalous samples within a class. Key applications include biological image analysis and the analysis of data in flow cytometry which is one of the fundamental research tools for the life scientist.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101565
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Flexible data modelling via skew mixture models:challenges and applications. This project seeks to explore new models for handling data with non-normal features. Parametric distributions are fundamental to statistical modelling and inference. For centuries, the ‘normal’ distribution has been the dominant model for continuous data. However, real data rarely satisfy the assumption of normality. There is thus a strong demand for more flexible distributions. This project aims to develop new methodol ....Flexible data modelling via skew mixture models:challenges and applications. This project seeks to explore new models for handling data with non-normal features. Parametric distributions are fundamental to statistical modelling and inference. For centuries, the ‘normal’ distribution has been the dominant model for continuous data. However, real data rarely satisfy the assumption of normality. There is thus a strong demand for more flexible distributions. This project aims to develop new methodologies in finite mixture modelling using skew component distributions to provide better models for handling data with non-normal features (such as skewness, heavy/light tails, and multimodality). Applications may include security intrusion detection, clinical diagnosis and prognosis, and flow and mass cytometry.Read moreRead less
Systematically model the large-scale complexity of turbulent floods and thin film flows. This project continues development of new models, and computer
simulation, of turbulent flood, river and estuarine flow. The models
will be based systematically upon established turbulence models to
resolve accurately the complex physical processes. The development of
new and robust computer models for thin layers of coating fluid will
aid many industrial processes. We also aim to provide correct ini ....Systematically model the large-scale complexity of turbulent floods and thin film flows. This project continues development of new models, and computer
simulation, of turbulent flood, river and estuarine flow. The models
will be based systematically upon established turbulence models to
resolve accurately the complex physical processes. The development of
new and robust computer models for thin layers of coating fluid will
aid many industrial processes. We also aim to provide correct initial
conditions and boundary conditions for simpler cases of the above
flows. The approach leads to a greater understanding of the range of
applicability of the models through better estimating the errors in the
modelling process. The project develops a fundamental enabling
methodology for engineering and the sciences.
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Special Research Initiatives - Grant ID: SR0354716
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Energetically Open Systems Research Network Study. Conceptual frameworks arising in the physical sciences, such as non-equilibrium statistical mechanics and thermodynamics, synergetics, chaos and dynamical systems theory, are seminal in the emerging science of complexity. This study will lay the groundwork for a network to link Australian and overseas research on these fundamental concepts, and their application within the context of entropy-producing systems vital to the long-term sustainabilit ....Energetically Open Systems Research Network Study. Conceptual frameworks arising in the physical sciences, such as non-equilibrium statistical mechanics and thermodynamics, synergetics, chaos and dynamical systems theory, are seminal in the emerging science of complexity. This study will lay the groundwork for a network to link Australian and overseas research on these fundamental concepts, and their application within the context of entropy-producing systems vital to the long-term sustainability of the earth - oceans, atmosphere, biosphere, CO2-free energy production, space and solar environment. The network would facilitate the development of young investigators and be linked into wider complex systems networks such as the CSIRO Centre for Complex Systems Science.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775649
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
An Integrated Multi-Node Microfluidics Facility. The establishment of the proposed facility will enhance Australia's position in microfluidics research, thus contributing to all National Priority areas, particularly the National Priority area 3 through advancement in breakthrough science and frontier technologies. In addition to researchers from participating institutions, the Facility will be made available to other Australian researchers from non-participating organisations at minimum cost. Th ....An Integrated Multi-Node Microfluidics Facility. The establishment of the proposed facility will enhance Australia's position in microfluidics research, thus contributing to all National Priority areas, particularly the National Priority area 3 through advancement in breakthrough science and frontier technologies. In addition to researchers from participating institutions, the Facility will be made available to other Australian researchers from non-participating organisations at minimum cost. The socio-economic potentials of the research carried out using the proposed facility are significant and include: R&D development, small scale high technology manufacture, exports, and improved methods of biochemical processing and medical diagnostics.Read moreRead less
ARC Financial Integrity Research Network. The integrity of the financial system is constantly under stress because of the development of ever more complex financial instruments, structures and strategies, and the associated research technologies that continues to accelerate worldwide. FIRN's vision is to harness the considerable strengths of Australia's internationally renowned finance, accounting and economics researchers into a research agenda to address issues concerning the integrity of the ....ARC Financial Integrity Research Network. The integrity of the financial system is constantly under stress because of the development of ever more complex financial instruments, structures and strategies, and the associated research technologies that continues to accelerate worldwide. FIRN's vision is to harness the considerable strengths of Australia's internationally renowned finance, accounting and economics researchers into a research agenda to address issues concerning the integrity of the financial system. It will enable Australian research in this area to match the scale and impact of similar research in other major international financial centres, and play an essential role in placing Australia among the world's leaders in financial markets related research.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100079
Funder
Australian Research Council
Funding Amount
$267,000.00
Summary
Advanced digital image correlation facility. This project aims to establish a facility that analyses three-dimensional and transient events for nearly any type of application, material and size scale. Digital Image correlation technologies are widely used to measure displacements and strains due to their accuracy, robustness, versatility and overall ease of use. This project will characterise materials from quasi-static to ballistic range of loading, crucial to develop and validate advanced anal ....Advanced digital image correlation facility. This project aims to establish a facility that analyses three-dimensional and transient events for nearly any type of application, material and size scale. Digital Image correlation technologies are widely used to measure displacements and strains due to their accuracy, robustness, versatility and overall ease of use. This project will characterise materials from quasi-static to ballistic range of loading, crucial to develop and validate advanced analytical and numerical models. The proposed infrastructure is expected to enhance experimental capabilities, and foster collaborative research across mechanical, civil, mining, sports, aerospace, automotive, marine and materials engineering.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100155
Funder
Australian Research Council
Funding Amount
$495,000.00
Summary
High-Speed Particle Image Velocimetry and Laser-Induced Fluorescence Facility. This state-of-the-art laser facility will increase our scientific understanding of industrial processes by providing valuable information on velocity, temperature and concentration profiles for rapidly changing flow fields. Previously it was not possible to do this, and the knowledge gained will be applied to develop more efficient and environmentally sustainable operations. For example, many current processes have hi ....High-Speed Particle Image Velocimetry and Laser-Induced Fluorescence Facility. This state-of-the-art laser facility will increase our scientific understanding of industrial processes by providing valuable information on velocity, temperature and concentration profiles for rapidly changing flow fields. Previously it was not possible to do this, and the knowledge gained will be applied to develop more efficient and environmentally sustainable operations. For example, many current processes have high energy input but scientific evidence suggests that it can be reduced if the embodied energy of the flow is properly utilised. Importantly, this utilisation often leads to increased yields and product quality. The facility will greatly assist researchers and industry collaborators in developing processes for the 21st century.Read moreRead less