Discovery Early Career Researcher Award - Grant ID: DE120103051
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Data fusion and active sensing for environment monitoring. This project aims to create a novel statistical framework for data fusion that integrates elements of perception and machine learning for better understanding of natural phenomena. The outcome will be a methodology for the seamless integration of space-time correlated data that will revolutionise the use of multi-model information.
Automatic real-time detection of infiltrated objects for security of airports and train stations. Infiltrated objects represent a very high security threat in critical areas such as airports and train stations. In order to neutralise such a threat, this project will develop new automatic technologies capable of detecting infiltrated objects in sensitive areas in real time, analysing the movements of their original carriers in the nearby areas, and raising attention accordingly. The technologies ....Automatic real-time detection of infiltrated objects for security of airports and train stations. Infiltrated objects represent a very high security threat in critical areas such as airports and train stations. In order to neutralise such a threat, this project will develop new automatic technologies capable of detecting infiltrated objects in sensitive areas in real time, analysing the movements of their original carriers in the nearby areas, and raising attention accordingly. The technologies will be based on the automatic analysis of camera videos made by computers without the need for assessing or storing the identities of common passers-by. The potential of application is huge extending beyond airports and train stations to any public areas.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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Discovery Early Career Researcher Award - Grant ID: DE160100807
Funder
Australian Research Council
Funding Amount
$321,536.00
Summary
Anion transporters as novel therapeutic agents. This project plans to use simulations and modelling for the rational design of anion transporters as therapeutic agents. Malfunctioning of certain anion transport mechanisms can lead to serious diseases, most notably cystic fibrosis. Anion transporters are molecules that mediate the lipid bilayer transport of negatively charged ions, and are therefore promising drug candidates for the treatment of these diseases. Many of these compounds also displa ....Anion transporters as novel therapeutic agents. This project plans to use simulations and modelling for the rational design of anion transporters as therapeutic agents. Malfunctioning of certain anion transport mechanisms can lead to serious diseases, most notably cystic fibrosis. Anion transporters are molecules that mediate the lipid bilayer transport of negatively charged ions, and are therefore promising drug candidates for the treatment of these diseases. Many of these compounds also display anti-tumour properties. The intended outcome of this project is the development of new tools to accelerate the discovery of novel anion transporters, understand their structure activity relationship, and design more effective therapeutic agents.Read moreRead less
Transaction Oriented Computational Models for Multi Agent Systems. Agent systems are a very promising technology for constructing complex, large-scale software. Australian researchers have made key
contributions in this area, particularly with reference to one mature and commonly adopted agent architecture known as BDI (Belief, Desire, Intention). To make this technology suitable for use in advanced applications, it has to be provided with robust and predictable behaviour. This project wil ....Transaction Oriented Computational Models for Multi Agent Systems. Agent systems are a very promising technology for constructing complex, large-scale software. Australian researchers have made key
contributions in this area, particularly with reference to one mature and commonly adopted agent architecture known as BDI (Belief, Desire, Intention). To make this technology suitable for use in advanced applications, it has to be provided with robust and predictable behaviour. This project will address that need by designing and implementing a novel agent language for BDI, based on contributions using transactional concepts for agents developed at The University of Melbourne. This will contribute to the development of robust and predictable agent software, that can be used in complex and large scale applications of the future.
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Developing a truly intelligent water meter through advanced data analytics. Developing a truly intelligent water meter through advanced data analytics. This project aims to develop intelligent pattern recognition algorithms using international data sets to autonomously categorise household water consumption data into end-uses (e.g. showers, leaks). Despite intelligent meters, big data chokes rather than enables decision making for customers and utilities. This project will resolve information sy ....Developing a truly intelligent water meter through advanced data analytics. Developing a truly intelligent water meter through advanced data analytics. This project aims to develop intelligent pattern recognition algorithms using international data sets to autonomously categorise household water consumption data into end-uses (e.g. showers, leaks). Despite intelligent meters, big data chokes rather than enables decision making for customers and utilities. This project will resolve information synthesis concerns using a combination of non-linear blind source separation techniques adapted from the pattern recognition, signal processing and decision science fields. Expected outcomes are that utilities will be leaders of sustainable water use in the information age, and that customers can use phones to access real-time data of water consumption.Read moreRead less
Enabling secure and competitive air cargo systems. This research will make a valuable contribution towards raising security levels in Australia. Methodologies and tools that enable rapid modelling, analysis and ongoing decision making support will enable the Australian air cargo industry to efficiently implement emerging screening technologies, whilst remaining competitive.
Improved efficiency in air cargo facilities and distribution hubs will help maintain and improve productivity and reduce ....Enabling secure and competitive air cargo systems. This research will make a valuable contribution towards raising security levels in Australia. Methodologies and tools that enable rapid modelling, analysis and ongoing decision making support will enable the Australian air cargo industry to efficiently implement emerging screening technologies, whilst remaining competitive.
Improved efficiency in air cargo facilities and distribution hubs will help maintain and improve productivity and reduce time to market, despite increased security screening and rising fuel prices placing greater cost overheads on logistics networks.
This research will have international application and create valuable high technology export for Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100274
Funder
Australian Research Council
Funding Amount
$415,675.00
Summary
Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes wil ....Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes will advance big spatiotemporal data analytics and nonlinear optimisation theory for solving decision-making tasks towards a future energy system. This should promote the Australian power industry transition to a sustainable future grid based on a digitalisation approach to efficient energy management against climate changes.Read moreRead less
A probabilistic framework for nonlinear dimensionality reduction algorithms. The Twin Measures Framework is a novel platform for analysing existing dimensionality reduction methods and the invention of new ones. This research will radically improve image analysis, with beneficial applications from pharmaceutical drug design through to border protection.
Intention Selection in Intelligent Agent Systems. Although intelligent multi-tasking is the foundation of rational behaviour, very little work has been done to date. Work in this area will maintain Australia's reputation of being at the forefront of work in Intelligent Agents. It will also provide a basis which can later be further developed for inclusion in applications and agent platforms. Australia has a number of companies, such as Agent Oriented Software, and government organisations, such ....Intention Selection in Intelligent Agent Systems. Although intelligent multi-tasking is the foundation of rational behaviour, very little work has been done to date. Work in this area will maintain Australia's reputation of being at the forefront of work in Intelligent Agents. It will also provide a basis which can later be further developed for inclusion in applications and agent platforms. Australia has a number of companies, such as Agent Oriented Software, and government organisations, such as the Bureau of Meteorology and the Department of Defence, which use agent technology. These companies would benefit from this work as it would tackle a long-standing key problem in the area of intelligent systems.Read moreRead less