Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of ....Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of the performance of global diversified investment funds; and c) prediction to provide early warning of the emergence of destabilising deflation or inflation. These three applications will lead to improved risk management practices and investment performance. Recursive algorithms will provide new statistical methods to study investment asset price movements and market volatility.
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The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches. With an estimated US$6.98 trillion loss indicated in the Stern review, severe climate change will make world climate conditions harsher and more likely include large natural climate disasters. The health of the Australian economy is critically dependent on decisions of environmental managers. However, most problems of ....The improvement of climate change investigations by developing and applying innovative evolutionary subset time series modelling using semi-parametric sparse-patterned approaches. With an estimated US$6.98 trillion loss indicated in the Stern review, severe climate change will make world climate conditions harsher and more likely include large natural climate disasters. The health of the Australian economy is critically dependent on decisions of environmental managers. However, most problems of complexity arising in climate change involve issues on which we do not possess a deep understanding. This project draws upon a set of inter-disciplinary concepts and models centred in neural networks that enable us to advance our understanding of complexity, leading to superior quantitative tools and models to allow for improved environmental decision-making.
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Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in th ....Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in the service industries. It is not well recognised that in developed countries, including Australia, the financial service and related sectors account for more than 60 percent of economic activity and employment, so it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial service and related sectors.Read moreRead less
The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormou ....The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormous. Any developed or developing country will profit from such advanced decision-making approaches. Therefore it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial investment and other relevant sectors.Read moreRead less
Modelling the capillary entrapment phenomena and integrity of geological reservoirs for clean energy, water and waste management technologies. This project will improve our understanding of non-linear flow and fracture phenomena in porous media which is prerequisite for the development of new emerging technologies targeting the reduction of the greenhouse gas emission and development of effective waste and water management solutions including coal gasification, in-situ storage of natural and non ....Modelling the capillary entrapment phenomena and integrity of geological reservoirs for clean energy, water and waste management technologies. This project will improve our understanding of non-linear flow and fracture phenomena in porous media which is prerequisite for the development of new emerging technologies targeting the reduction of the greenhouse gas emission and development of effective waste and water management solutions including coal gasification, in-situ storage of natural and non-hydrocarbon gases, underground disposal of hazardous wastes and vadose zone remediation. The project will result in a dramatic improvement of the predictive tools for traditional ground water management, irrigation and petroleum recovery applications. It has the strength to place Australia in the forefront of these technologies. Read moreRead less
Atomistic Mechanisms of Stress Relaxation in Amorphous Materials. Amorphous materials represent a major thrust in the search for new materials. Metallic glasses have very high strength and can be cast to much finer tolerances than regular (polycrystalline) metals. Ceramic glasses are finding increasing applications in data storage, photoelectronics and fibre optics. The greatest obstacle to the application of amorphous solids is their brittleness. The goal of this project is to use accurate comp ....Atomistic Mechanisms of Stress Relaxation in Amorphous Materials. Amorphous materials represent a major thrust in the search for new materials. Metallic glasses have very high strength and can be cast to much finer tolerances than regular (polycrystalline) metals. Ceramic glasses are finding increasing applications in data storage, photoelectronics and fibre optics. The greatest obstacle to the application of amorphous solids is their brittleness. The goal of this project is to use accurate computer simulations to provide detailed pictures of how atomic motions relax stress in very different types of glasses and, through this insight, explore ways of modifying the mechanical properties of these materials.Read moreRead less
Fluctuation Effects in Non-Crystallising Liquids. Understanding the behaviour of liquids colder than their freezing temperature is important in areas as diverse as metal alloy preparation, prevention of cell damage in plants and animals at low temperatures, extending the working temperature range of new high voltage automotive batteries and controlling drug delivery in pharmaceuticals. Advances in these areas would represent important new manufacturing opportunities in industries already establi ....Fluctuation Effects in Non-Crystallising Liquids. Understanding the behaviour of liquids colder than their freezing temperature is important in areas as diverse as metal alloy preparation, prevention of cell damage in plants and animals at low temperatures, extending the working temperature range of new high voltage automotive batteries and controlling drug delivery in pharmaceuticals. Advances in these areas would represent important new manufacturing opportunities in industries already established in Australia. In this project the fundamental physical chemistry of supercooled liquids is developed and applied to a number of these technological challenges.Read moreRead less
Unifying Modern Approaches in Machine Learning. The proposed research will lead to better algorithms for some important machine learning problems that could lead to better tools for extracting useful knowledge from data such as in bioinformatics and sensor networks; it will strengthen an international collaboration with one of the world's top centres of machine learning research; it will contribute to an open source toolkit of machine learning algorithms which will put Australia on the map as a ....Unifying Modern Approaches in Machine Learning. The proposed research will lead to better algorithms for some important machine learning problems that could lead to better tools for extracting useful knowledge from data such as in bioinformatics and sensor networks; it will strengthen an international collaboration with one of the world's top centres of machine learning research; it will contribute to an open source toolkit of machine learning algorithms which will put Australia on the map as a provider of sophisticated machine learning software; it will provide training opportunities for several PhD students and a postdoc to work with some of the best machine learning researchers in the world.Read moreRead less
Formally-Based Security Evaluation Procedures. Guaranteeing information security is of critical national importance, especially in the current political climate. Devices intended to safeguard Australia's electronic communications must be proven secure using leading-edge techniques. Currently, evaluation of such devices relies on informal procedures and the experience of individuals. This project will introduce more rigour into security evaluations by adapting techniques from the fields of saf ....Formally-Based Security Evaluation Procedures. Guaranteeing information security is of critical national importance, especially in the current political climate. Devices intended to safeguard Australia's electronic communications must be proven secure using leading-edge techniques. Currently, evaluation of such devices relies on informal procedures and the experience of individuals. This project will introduce more rigour into security evaluations by adapting techniques from the fields of safety analysis and formal methods. In particular, mathematical concepts will be introduced using notations suitable for use by security personnel with no prior formal methods experience. The outcomes of this project will enable more efficient and effective information security evaluations.Read moreRead less
Improving optical data storage and micromachining technology through better modelling and characterisation of their laser beams. The laser sources generally do not have simple (Gaussian) distributions. The applicant has recently developed a model, describing free propagation of complex (non-Gaussian) laser beams. This project seeks to develop a comprehending model for laser beams propagation through complex optical systems. The effects of various optical elements will be defined employing a no ....Improving optical data storage and micromachining technology through better modelling and characterisation of their laser beams. The laser sources generally do not have simple (Gaussian) distributions. The applicant has recently developed a model, describing free propagation of complex (non-Gaussian) laser beams. This project seeks to develop a comprehending model for laser beams propagation through complex optical systems. The effects of various optical elements will be defined employing a novel method known as SAFE (Stable Aggregate of Flexible Elements) which is a compromise between geometrical and physical optics. Applying this model to micromachining and optical data storage (ODS), which need high beam quality (low divergence and good focussibility), enable accurate predictive capability critical to the optimisation of micromachining and ODS designs.Read moreRead less