Efficient Algorithms for Multiple Object Filtering using Stochastic Geometry. The outcomes of this project will enhance our ability to harness advances in sensing and computing technologies and develop automated systems which facilitate rapid and reliable detection and monitoring of potential threats in our air, sea, and land space. Such systems assist our defence personnel in the event of a threat to implement measured and effective responses, and ultimately enhance Australia's operational adva ....Efficient Algorithms for Multiple Object Filtering using Stochastic Geometry. The outcomes of this project will enhance our ability to harness advances in sensing and computing technologies and develop automated systems which facilitate rapid and reliable detection and monitoring of potential threats in our air, sea, and land space. Such systems assist our defence personnel in the event of a threat to implement measured and effective responses, and ultimately enhance Australia's operational advantage, in line with the national research priority of 'Safeguarding Australia' and its associated priority goals. The developed technologies also have significant commercial potential which benefit Australian industries in areas such as robotics, automotive safety and biomedical engineering.Read moreRead less
Performance evaluation and characterisation for filtering in multi-object system. The project falls within the National Research Priority of 'Safeguarding Australia' and associated research priority goal of 'Transforming Defence Technology'. The project outcomes will provide cutting edge technology in surveillance, and monitoring of potential threat in our air, sea, and land space. Fast, reliable information enable our personnel to make timely, intelligent judgements, and appropriate responses i ....Performance evaluation and characterisation for filtering in multi-object system. The project falls within the National Research Priority of 'Safeguarding Australia' and associated research priority goal of 'Transforming Defence Technology'. The project outcomes will provide cutting edge technology in surveillance, and monitoring of potential threat in our air, sea, and land space. Fast, reliable information enable our personnel to make timely, intelligent judgements, and appropriate responses in the event of a threat, thereby maintaining Australia's operational advantage. Other application areas that benefits from our research include radar, sonar, guidance, navigation, air traffic control, image processing, oceanography, autonomous vehicles and robotics, remote sensing, and biomedical research.
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Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes ....Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes will include the development of new theory in probability and statistics, the initiation and reinforcement of collaborative ties with major international research figures, and the fostering of contacts with the finance industry.Read moreRead less
The astrophysical stochastic background of gravitational waves and detection by advanced high optical power interferometers: an Australia-US collaboration. The proposed project is designed to enable one of the most exciting and least studied components of the gravitational wave spectrum, the Astrophysical Gravitational wave Background (AGB), to be detected by Advanced LIGO. It will extend the Australia-US collaboration in Advanced LIGO to include modeling, simulation and detection methods of the ....The astrophysical stochastic background of gravitational waves and detection by advanced high optical power interferometers: an Australia-US collaboration. The proposed project is designed to enable one of the most exciting and least studied components of the gravitational wave spectrum, the Astrophysical Gravitational wave Background (AGB), to be detected by Advanced LIGO. It will extend the Australia-US collaboration in Advanced LIGO to include modeling, simulation and detection methods of the AGB and the study of the optical noise in LIGO and Advanced LIGO type systems. In particular we plan to search for anomalous noise sources and, especially those arising in high optical power cavities that could limit detection of the AGB.Read moreRead less
Developing a disability policy model to target the prevention or reduction of limitations on functioning and wellbeing. With the ageing of Australian society the challenge for public health is shifting from preventing death and disease onset to supporting healthy and productive ageing. The disability policy model will allow cost-effective targeting of interventions to reduce or prevent onset of disability or reduce its severity particularly among older Australians.
Parameter estimation for multi-object systems. Parameter estimation in multi-object system is essential to the application of multi-object filtering to a wider range of practical problems with social and commercial benefits. This project develops the necessary parameter estimation techniques for complete 'plug-and-play' multi-object filtering solutions that facilitates widespread applications.
Improving risk management based on short-term stochastic forecast for financial decisions. The project targets the problems of strategy selection in the framework of mathematical finance. The aim is to find ways to reduce the impact of forecast errors in the presence of uncertainty. Related forecasting algorithms and solutions of optimization problems will be obtained.
The Influence of Fracture Network Topology on Fluid Flow in the Subsurface. This project focuses on developing methods for the simulation of fluid flow in fractured rock aquifers. Given the large computational requirements involved in modelling discretely fractured rock masses, scaling approaches are required to allow for simulation at field scales. The sensitivity of the scaling to the parameters describing the fracture network will be investigated. It is anticipated that the scaled function ....The Influence of Fracture Network Topology on Fluid Flow in the Subsurface. This project focuses on developing methods for the simulation of fluid flow in fractured rock aquifers. Given the large computational requirements involved in modelling discretely fractured rock masses, scaling approaches are required to allow for simulation at field scales. The sensitivity of the scaling to the parameters describing the fracture network will be investigated. It is anticipated that the scaled functional relationships will be quite network specific, and that the identification of the controls on the form of the scaling relationships will allow for the focussing of data acquisition to the most salient information, and will reduce the costs involved.Read moreRead less
Multi-object Estimation for Live-Cell Microscopy. The objective of this project is to develop new tools for the inference of biological information from live-cell data to facilitate analysis of experiments and speed up discovery in cell biology. The new tools would provide reliable, consistent inference requiring no manual intervention and able to process large volumes of data in a timely manner. This would equip biologists with a vehicle that could move them closer to the goal of understanding ....Multi-object Estimation for Live-Cell Microscopy. The objective of this project is to develop new tools for the inference of biological information from live-cell data to facilitate analysis of experiments and speed up discovery in cell biology. The new tools would provide reliable, consistent inference requiring no manual intervention and able to process large volumes of data in a timely manner. This would equip biologists with a vehicle that could move them closer to the goal of understanding the mechanism behind biological processes.Read moreRead less
A stochastic geometric framework for Bayesian sensor array processing. This project develops a mathematical framework, and a new generation of techniques, for sensor array processing to address real-world problems with uncertainty in array parameters and number of signals. The outcomes will enhance the capability of sensors in many application areas including, radar, sonar, astronomy and wireless communications.