Sparse grid approximations and fitting using generalised combination techniques. Sparse grid techniques provide an effective tool to deal with the
computational curse of dimensionality which is a constant challenge in
modelling complex data. The proposed research is aimed at the
development and analysis of algorithms for data fitting with sparse
grids using variants of the combination technique. The outcome of the
research is a theory which will provide insights in the applicability,
limit ....Sparse grid approximations and fitting using generalised combination techniques. Sparse grid techniques provide an effective tool to deal with the
computational curse of dimensionality which is a constant challenge in
modelling complex data. The proposed research is aimed at the
development and analysis of algorithms for data fitting with sparse
grids using variants of the combination technique. The outcome of the
research is a theory which will provide insights in the applicability,
limitations and the convergence properties of the proposed
algorithms. The outcomes will be widely applicable in modelling of
large scale and complex data as is encountered in areas of
bioinformatics, physics and experimental studies of complex systems.
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Photosynthetic traits as “key performance indicators” of coral health. The objective of this project is to advance knowledge on the healthy functioning of the coral–algal symbiosis, which defines the response of coral reef ecosystems to worldwide environmental change. Current approaches to address this problem have linked coral health to algal symbiont diversity but have been unable to resolve the fundamental symbiont functional traits that govern this link – the “key performance indicators (KPI ....Photosynthetic traits as “key performance indicators” of coral health. The objective of this project is to advance knowledge on the healthy functioning of the coral–algal symbiosis, which defines the response of coral reef ecosystems to worldwide environmental change. Current approaches to address this problem have linked coral health to algal symbiont diversity but have been unable to resolve the fundamental symbiont functional traits that govern this link – the “key performance indicators (KPIs)”. This project plans to couple advanced physiological and functional genomics techniques to transform our understanding of how algal symbiont metabolic KPIs regulate coral growth and stress susceptibility. This may provide new diagnostic capability for the assessment of coral health and may enable us to improve coral reef ecosystem management.Read moreRead less
The Role Of Corticothalamic Feedback On The Response Dynamics Of Thalamic Neurons
Funder
National Health and Medical Research Council
Funding Amount
$351,852.00
Summary
A fundamental question in neuroscience is how the brain selectively processes sensory information to generate a reliable representation of the world. Positioned in the centre of the brain, the thalamus plays a key role in sensory processing. This project investigates how the interaction between thalamus and cortex shapes the selection and gating of sensory information. This is a fundamental question in basic neuroscience with the potential to increase our knowledge about attentional deficits.
Discovery Early Career Researcher Award - Grant ID: DE120102166
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Identification and characterisation of anti-viral immune response genes in mosquitoes. Emerging viral diseases, transmitted by mosquito bite, present an increasing public health risk globally. Most research to date has neglected the infection dynamic in the insect vector. This project aims to characterise the defensive response of mosquitoes to viral infection, a potentially crucial factor in the epidemiology of vector-borne disease.
Software-defined provisioning of Internet of Things applications in fog computing systems. This project aims to investigate and provide solutions for the realisation of a seemingly integrated Fog Computing (FC) paradigm with cloud environments, networking devices and Internet of Things devices. Fog Computing (FC) is an emerging paradigm with great promises for advancing Information and Communications Technologies. Using interdisciplinary approaches, the project expects to generate new knowledge ....Software-defined provisioning of Internet of Things applications in fog computing systems. This project aims to investigate and provide solutions for the realisation of a seemingly integrated Fog Computing (FC) paradigm with cloud environments, networking devices and Internet of Things devices. Fog Computing (FC) is an emerging paradigm with great promises for advancing Information and Communications Technologies. Using interdisciplinary approaches, the project expects to generate new knowledge for optimising both hardware and software resources of a FC system. Outcomes of this project include practical solutions through building novel mathematical frameworks and optimisation objectives. The project is expected to provide efficient monitoring and control of intelligent spaces, management of urban and rural environments and will have applications in the areas of energy, security, transport and public health.Read moreRead less
Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be ....Investigation and Development of Parallel Large Scale Record Linkage Techniques. Record linkage aims at matching records of the same entity (like customer or patient) in large (administrative) databases. The outcomes of the proposed research will improve current techniques in terms of efficiency, accuracy and the need for human intervention. Through experimental studies and stochastic modelling the performance of traditional and new methods for data cleaning, standardisation and linkage will be assessed. The effect of the statistical dependency of attribute values will be studied. New methods using clustering for blocking large datasets, and predictive models including interaction terms will be implemented, analysed and evaluated on high-performance computers and office-based PC clusters.
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Singular phenomena for nonlinear partial differential equations arising in applications. The development of nonlinear Partial Differential Equations (PDEs) in Australia is recognized worldwide through the outstanding contributions of mathematicians from the ANU, University of Sydney and other top Australian Universities. This project undertakes research in the PDEs field and follows directions of very current interest at an international level. Beyond the ANU, the project will enhance expertise ....Singular phenomena for nonlinear partial differential equations arising in applications. The development of nonlinear Partial Differential Equations (PDEs) in Australia is recognized worldwide through the outstanding contributions of mathematicians from the ANU, University of Sydney and other top Australian Universities. This project undertakes research in the PDEs field and follows directions of very current interest at an international level. Beyond the ANU, the project will enhance expertise in Australia in very active areas of mathematics research related to applications in physics, biology and other applied disciplines. Moreover, it will foster collaboration with mathematicians of international standing from Australia and abroad. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100232
Funder
Australian Research Council
Funding Amount
$431,704.00
Summary
Demographic and life course drivers of social cohesion. The project aims to understand the individual and community-level drivers and pressures on social cohesion in Australia. It is expected to generate new knowledge on how and why individuals become more or less engaged in their communities and society over time by combining information from multiple existing data sources. Expected outcomes of the project include the creation of analytical tools for measuring the dynamics of social cohesion, h ....Demographic and life course drivers of social cohesion. The project aims to understand the individual and community-level drivers and pressures on social cohesion in Australia. It is expected to generate new knowledge on how and why individuals become more or less engaged in their communities and society over time by combining information from multiple existing data sources. Expected outcomes of the project include the creation of analytical tools for measuring the dynamics of social cohesion, helping to bridge the gap between current theories and data. This should provide significant benefits in identifying threats and opportunities, and informing community and government initiatives, to strengthen and maintain social cohesion and the collective well-being of communities and Australia.Read moreRead less
Development of biosensors and bioindicators for gold exploration and processing in Australia. In times of increasing demand for gold and shrinking rates of discovery in Australia, biosensor and bioindicator techniques deliver significant advantages to the Australian mining industry and allow it to retain its international competiveness. The new understanding of the biogeochemical behaviour of gold in soils and other weathered materials developed in a previous ARC Linkage Project enables the deve ....Development of biosensors and bioindicators for gold exploration and processing in Australia. In times of increasing demand for gold and shrinking rates of discovery in Australia, biosensor and bioindicator techniques deliver significant advantages to the Australian mining industry and allow it to retain its international competiveness. The new understanding of the biogeochemical behaviour of gold in soils and other weathered materials developed in a previous ARC Linkage Project enables the development of biosensor and bioindicator technology that will allow mineral explorers to differentiate mineralised from non-mineralised zones using specific (meta) genomic community responses. The new technology will provide cost-efficient and environmentally sustainable techniques for improving exploration success and optimising ore processing.Read moreRead less
From genotype to phenotype: Molecular photofitting for criminal investigations. DNA found at crime scenes has the potential to provide a physical description of the donor in the same way as an eyewitness statement can be used to make a facial reconstruction. This project will investigate those physical traits which can be derived from the analysis of DNA present in samples collected in relation to criminal activities.