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.
Read moreRead less
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
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
Why conserve genetic variation? Is this misdirected effort or a crucial concern? In attempting to conserve populations of threatened plants, ecosystem managers must prioritise allocation of resources to both immediate and long-term threats, including loss of genetic variation. This study will determine the importance of maintaining existing genetic variation within populations of several species in a major Australian plant group. As well as advancing theory in the area of plant ecological genet ....Why conserve genetic variation? Is this misdirected effort or a crucial concern? In attempting to conserve populations of threatened plants, ecosystem managers must prioritise allocation of resources to both immediate and long-term threats, including loss of genetic variation. This study will determine the importance of maintaining existing genetic variation within populations of several species in a major Australian plant group. As well as advancing theory in the area of plant ecological genetics and evolutionary biology, our results will provide a stronger scientific basis for the development of conservation policy and management decisions for conserving threatened plant species. Read moreRead less
A functional genomic approach for understanding metal ion adaptation in marine cyanobacteria. Unicellular marine cyanobacteria constitute 20-40% of total marine chlorophyll biomass and carbon fixation, and hence significantly impact the global carbon cycle and are very relevant to combating global warming. This research will reveal some of the major mechanisms by which marine cyanobacteria have adapted to metal levels in coastal and oligotrophic environments. Thus these results will help us und ....A functional genomic approach for understanding metal ion adaptation in marine cyanobacteria. Unicellular marine cyanobacteria constitute 20-40% of total marine chlorophyll biomass and carbon fixation, and hence significantly impact the global carbon cycle and are very relevant to combating global warming. This research will reveal some of the major mechanisms by which marine cyanobacteria have adapted to metal levels in coastal and oligotrophic environments. Thus these results will help us understand the distribution and diversity of these organisms in relation to global primary productivity. They will also lead to the development of more robust biomarkers for metal stress and pollution in coastal environments.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
Ageing wild vertebrates from their DNA: an investigation using Humpback Whales as an example. The aim of this project is to estimate the age of individually identified humpback whales and the age structure of humpback whale populations using non-lethal, innovative molecular techniques. Populations of humpback whales in the Southern Hemisphere are slowly recovering from intensive whaling during the 20th century. This project is significant because it will provide the first comparative information ....Ageing wild vertebrates from their DNA: an investigation using Humpback Whales as an example. The aim of this project is to estimate the age of individually identified humpback whales and the age structure of humpback whale populations using non-lethal, innovative molecular techniques. Populations of humpback whales in the Southern Hemisphere are slowly recovering from intensive whaling during the 20th century. This project is significant because it will provide the first comparative information on the age structure of these populations, resulting in improved estimation of recovery and population dynamics of long-lived vertebrates. The results of this project will revolutionise research on ageing in whales and dolphins, providing an important alternative to lethal scientific whaling.Read moreRead less
The Physics of Network Computation. This project combines expertise in nonlinear soliton physics and computational sciences in order to provide new insights into the physics of network computation. Our proposal addresses the mathematics and computer modelling underlying nonconscious problem solving. We develop a new template concept, the meta-mode, which embodies the network structure of knowledge and the linking mechanisms, which underpin human creativity. We establish the optimal connectiv ....The Physics of Network Computation. This project combines expertise in nonlinear soliton physics and computational sciences in order to provide new insights into the physics of network computation. Our proposal addresses the mathematics and computer modelling underlying nonconscious problem solving. We develop a new template concept, the meta-mode, which embodies the network structure of knowledge and the linking mechanisms, which underpin human creativity. We establish the optimal connectivity distributions to preserve distinct pattern classes yet allow model radical shifts in paradigms, and develop algorithms for autonomous connectivity optimisation. We investigate nonlinear process such as solitons and random Boolean networks as realisations of these principles.Read moreRead less