Improving the accuracy of phylogenetic reconstruction by improving models of sequence divergence. Phylogenies describe the relationships among species and provide the essential framework for understanding evolutionary processes. They are an essential tool in the identification of functionally important regions in DNA sequences. An important aspect of identifying phylogenies is measuring how DNA sequences change in time. The proposed research will develop sophisticated, practical models of sequen ....Improving the accuracy of phylogenetic reconstruction by improving models of sequence divergence. Phylogenies describe the relationships among species and provide the essential framework for understanding evolutionary processes. They are an essential tool in the identification of functionally important regions in DNA sequences. An important aspect of identifying phylogenies is measuring how DNA sequences change in time. The proposed research will develop sophisticated, practical models of sequence divergence and make them freely available in open source software. The software and models will positively impact on studies seeking to understand Australian biological diversity. The proposed resolution of the eutherian mammal orders will further significantly impact on utilisation of rodents as a model organism for human biology.Read moreRead less
Use of Interval Arithmetic and GRID Computing in Computational Molecular Science: Bounding Errors and Locating Global Minima. Catastrophic failure of the Ariane 5 rocket in 1996 and the inability of Patriot missile systems to reach their targets during the 1991 Gulf war were both attributed to numerical computing errors. Less dramatic, but in a similar vein, this project aims to study the numerical stability of contemporary computational molecular science applications. The focus will be on linea ....Use of Interval Arithmetic and GRID Computing in Computational Molecular Science: Bounding Errors and Locating Global Minima. Catastrophic failure of the Ariane 5 rocket in 1996 and the inability of Patriot missile systems to reach their targets during the 1991 Gulf war were both attributed to numerical computing errors. Less dramatic, but in a similar vein, this project aims to study the numerical stability of contemporary computational molecular science applications. The focus will be on linear scaling electronic structure codes, methods that are critical to the study of nano- and bio-materials, and are therefore of great importance to our economic future and medical well being. The project will build expertise within Australia in the area of interval arithmetic, an area that is currently poorly represented.Read moreRead less
Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to devel ....Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to develop new ways designing bio-cryptosystems that provide strong security strength. The project will bring new body of knowledge into this field and place Australia in the forefront of this research, and also result in strengthened security of IT infrastructure and systems for industries.Read moreRead less
Electron correlation models using morph operators and hybrid intracules. A new solution to the central problem in quantum chemistry will allow researchers in the chemical, pharmaceutical and materials sciences to predict the chemical behaviour of moderately large molecular systems with an accuracy and efficiency that has not previously been possible. The software that will result will enable cost and time savings in the design of advanced materials in the medical and agricultural contexts.
Rigorous Privacy Compliance in Modern Application Ecosystems. Modern network applications such as mobile applications and browser extensions have become the primary gateways for consumers to access the Internet in today’s digital landscape. This project aims to address privacy issues in these ecosystems by developing a new privacy-compliance assessment framework. The framework will evaluate the current privacy practices of application ecosystems, enabling users and developers in Australia and wo ....Rigorous Privacy Compliance in Modern Application Ecosystems. Modern network applications such as mobile applications and browser extensions have become the primary gateways for consumers to access the Internet in today’s digital landscape. This project aims to address privacy issues in these ecosystems by developing a new privacy-compliance assessment framework. The framework will evaluate the current privacy practices of application ecosystems, enabling users and developers in Australia and worldwide to reliably identify potential privacy risks and issues on their applications. The intended outcomes should endow data controllers with the capability of evidencing their compliance of data protection legislations such as Australia Privacy Act 1988 and EU General Data Protection Regulation (GDPR).Read moreRead less
Development and implementation of efficient new models for electron correlation. The two new approaches will allow researchers in the chemical, pharmaceutical and materials sciences to predict the physical and chemical behaviour of moderately large molecular systems with an accuracy and efficiency that has not previously been possible. The software that will result will enable cost and time savings in the design of advanced materials in the medical and agricultural contexts.
Feedback Processes in Galaxy Formation. We have an opportunity to combine the best Australian theory with the best local and international telescopes, to probe the murky story of how galaxies form and why they look they way they do today. By looking back to a time when the Universe was only 1 billion years old, and comparing what we see with cutting edge supercomputer simulations plus pure theory, we will gain insight into the birth of entire galaxies. The results will form part of the study o ....Feedback Processes in Galaxy Formation. We have an opportunity to combine the best Australian theory with the best local and international telescopes, to probe the murky story of how galaxies form and why they look they way they do today. By looking back to a time when the Universe was only 1 billion years old, and comparing what we see with cutting edge supercomputer simulations plus pure theory, we will gain insight into the birth of entire galaxies. The results will form part of the study of how the universe works - that is driving astrophysics today, and represents pure research for the sake of advancing knowledge and showing us where we fit into the Universe. In doing so we will also advance Australia's base of theoretical and computational expertise.Read moreRead less
User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating conc ....User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating concepts, designs, products and advanced training systems in industry and government organisations. By bringing the user naturally inside the simulation as a task's component, users can improve their experience while task performance is simultaneously optimised. Intended outcomes include novel dynamic user-task profiling algorithms and new adaptive algorithms for user-task co-adaptation. Practical outcomes may include robust and highly effective simulation environments.Read moreRead less
Exploiting Structure in AI Planning. The research will improve our ability to build generic, automated planning systems, which can efficiently select effective courses of actions in a range of situations such as crisis management, project planning, military operations planning, and transportation. It will help reduce the cost of building software to more efficiently solve important problems occurring in validating, controlling, and diagnosing complex systems. More generally, it will advance our ....Exploiting Structure in AI Planning. The research will improve our ability to build generic, automated planning systems, which can efficiently select effective courses of actions in a range of situations such as crisis management, project planning, military operations planning, and transportation. It will help reduce the cost of building software to more efficiently solve important problems occurring in validating, controlling, and diagnosing complex systems. More generally, it will advance our understanding of how machines can intelligently solve complex problems by identifying and exploiting their relevant structure.Read moreRead less
Design surface feature recognition for near net shaped manufactured components. The aim of this project is to investigate methods and techniques that, given an ab initio design requirement, allow databases of knowledge from previous designs to be intelligently searched for similar patterns, both geometric and physical state, that will assess the likelihood of a successful design and suggest potential alternatives based on previous experience
The plan is to approach the research problem from a m ....Design surface feature recognition for near net shaped manufactured components. The aim of this project is to investigate methods and techniques that, given an ab initio design requirement, allow databases of knowledge from previous designs to be intelligently searched for similar patterns, both geometric and physical state, that will assess the likelihood of a successful design and suggest potential alternatives based on previous experience
The plan is to approach the research problem from a machine learning/pattern recognition point of view. By mapping the characterized properties into a search space of reduced dimensionality in which feature patterns have been pre-classified through supervised training, it should be possible to identify similar features.
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