Time consistency, risk-mitigation and partially observable systems. This project aims to find optimal decision rules that mitigate risk in a time consistent manner for partially observable systems. Many problems in conservation management and engineering systems are dependent on random environments and entail risk of failure. The challenge of consistently minimising such a risk while achieving satisfactory and sustainable resource consumption is considerable. This project aims to develop analyti ....Time consistency, risk-mitigation and partially observable systems. This project aims to find optimal decision rules that mitigate risk in a time consistent manner for partially observable systems. Many problems in conservation management and engineering systems are dependent on random environments and entail risk of failure. The challenge of consistently minimising such a risk while achieving satisfactory and sustainable resource consumption is considerable. This project aims to develop analytical and numerical methods for optimal control in such scenarios. These methods will have application to fishery management, communication networks, power systems and social resource allocation scenarios.Read moreRead less
Large Markov decision processes and combinatorial optimisation. Markov decision processes continue to gain in popularity for modelling a wide range of applications ranging from analysis of supply chains and queueing networks to cognitive science and control of autonomous vehicles. Nonetheless, they tend to become numerically intractable as the size of the model grows fast. Recent works use machine learning techniques to overcome this crucial issue, but with no convergence guarantee. This project ....Large Markov decision processes and combinatorial optimisation. Markov decision processes continue to gain in popularity for modelling a wide range of applications ranging from analysis of supply chains and queueing networks to cognitive science and control of autonomous vehicles. Nonetheless, they tend to become numerically intractable as the size of the model grows fast. Recent works use machine learning techniques to overcome this crucial issue, but with no convergence guarantee. This project aims to provide theoretically sound frameworks for solving large Markov decision processes, and exploit them to solve important combinatorial optimisation problems. This timely project can promote Australia's position in the development of such novel frameworks for many scientific and industrial applications.Read moreRead less
Design and Construction Error Mitigation in Infrastructure Projects. Human errors committed during the design and construction process of infrastructure projects increase costs by as much as 25 per cent. The costs associated with such errors would be significantly higher in the event of an engineering failure and loss of life. This research will develop a model that can be used to mitigate errors and improve the performance and safety of infrastructure projects. A reduction in errors will reduce ....Design and Construction Error Mitigation in Infrastructure Projects. Human errors committed during the design and construction process of infrastructure projects increase costs by as much as 25 per cent. The costs associated with such errors would be significantly higher in the event of an engineering failure and loss of life. This research will develop a model that can be used to mitigate errors and improve the performance and safety of infrastructure projects. A reduction in errors will reduce the financial burden placed on taxpayers for cost overruns experienced as well as improve the profitability of organisations. This will lead to greater investment, and contribution to gross domestic product.Read moreRead less
Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces an ....Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces and system dynamics. Both theoretical and algorithmic approaches will be applied to sustainable fishery management --- an important problem for Australia and an ideal context for POMDPs. The project will advance research in artificial intelligence, dynamical systems, and fishery operations, and benefit the national economy.Read moreRead less
Testing a Multi-level Theory of Emotion in Organisations. Affective moods and emotions at work are now recognised internationally as important determinants of employee attitudes and behaviours at work, including job satisfaction, turnover, and performance. This collaborative project involves research teams in Australia and the United States, and entails three studies of the role of emotions in organisations. Based on experience-sampling methods, where participants report real-time data using ha ....Testing a Multi-level Theory of Emotion in Organisations. Affective moods and emotions at work are now recognised internationally as important determinants of employee attitudes and behaviours at work, including job satisfaction, turnover, and performance. This collaborative project involves research teams in Australia and the United States, and entails three studies of the role of emotions in organisations. Based on experience-sampling methods, where participants report real-time data using hand-held computers, the studies span within-person, between-persons, leadership, group, and organisational levels of analysis. The project also extends previous research by studying organisations as a source of depletion of regulatory resources that limit employees' potential to perform to their ability.Read moreRead less
Target Identification with Ultra-Wideband Polarimetric Radar. Radar reflecting objects resonate when electromagnetically and appropriately excited. These resonances can be extracted from the returned radar signal and used to identify the object. A simile is identifying a tuning fork from its sound rather than its image.
The techniques developed in this proposal are primarily to be used in security and defence applications for better screening of threat targets. The benefit is a safe and more ....Target Identification with Ultra-Wideband Polarimetric Radar. Radar reflecting objects resonate when electromagnetically and appropriately excited. These resonances can be extracted from the returned radar signal and used to identify the object. A simile is identifying a tuning fork from its sound rather than its image.
The techniques developed in this proposal are primarily to be used in security and defence applications for better screening of threat targets. The benefit is a safe and more secure environment. Read moreRead less
The Regionalisation of Peace Operations: Legitimacy, Effectiveness and Stable Peace. Through its deployments in East Timor, the Solomon Islands, PNG and elsewhere, Australia has led the world in thinking about innovative ways of conducting peace operations. It is well-understood that peace operations in failed states can help to prevent terrorism by removing the conditions in which they prosper. To date, however, there has been no rigorous conceptually informed historical and contemporary resear ....The Regionalisation of Peace Operations: Legitimacy, Effectiveness and Stable Peace. Through its deployments in East Timor, the Solomon Islands, PNG and elsewhere, Australia has led the world in thinking about innovative ways of conducting peace operations. It is well-understood that peace operations in failed states can help to prevent terrorism by removing the conditions in which they prosper. To date, however, there has been no rigorous conceptually informed historical and contemporary research on precisely which types of actors are most effective. This project will add significantly to global understandings of peace operations and make an important contribution to Australian policy decisions about how best to maximise effectiveness. Read moreRead less
Enhancing natural convection heat transfer using a single horizontal non-metallic fin. This project will develop the basis for a simple design to improve the energy efficiency of natural convection heat exchangers. Heat exchangers are widely adopted in many electronic devices and industrial processes as they require no external power input, additional space, and are quiet, reliable and economical. The research will exploit the interaction between two flows to trigger turbulence, and will result ....Enhancing natural convection heat transfer using a single horizontal non-metallic fin. This project will develop the basis for a simple design to improve the energy efficiency of natural convection heat exchangers. Heat exchangers are widely adopted in many electronic devices and industrial processes as they require no external power input, additional space, and are quiet, reliable and economical. The research will exploit the interaction between two flows to trigger turbulence, and will result in an increase of the overall capacity and performance of engineering systems. This will contribute significantly to reductions in power consumption and improvements in productivity and work environment, leading ultimately to reductions in greenhouse gas emissions and to economic benefits.Read moreRead less
Mach 10 Hydrogen fuelled scramjet development. Safe and economic access to space is a major technological challenge of the 21st century. Airbreathing engines, in particular, scramjets offer the potential to meet this challenge. The project aims to develop an understanding of the engineering and physical principals that determines the performance of a class of scramjet operating at hypervelocity speeds (>3km/s). Novel and innovative ideas will be explored which for the first time will provide ....Mach 10 Hydrogen fuelled scramjet development. Safe and economic access to space is a major technological challenge of the 21st century. Airbreathing engines, in particular, scramjets offer the potential to meet this challenge. The project aims to develop an understanding of the engineering and physical principals that determines the performance of a class of scramjet operating at hypervelocity speeds (>3km/s). Novel and innovative ideas will be explored which for the first time will provide the understandings necessary to make well founded predictions of the cost effectiveness of this approach, as well as provide the blue print to develop an engine which can operate at Mach 10.Read moreRead less
Modelling of unsteady natural convection in a reservoir sidearm. Horizontal exchange flows induced by daytime heating and night-time cooling through water surface play an important role in the transport of water properties in the shoreline regions of reservoirs. This project is aimed at exploring the driving mechanisms of these flows through a closely linked experimental, numerical and analytical research program. At the completion of this project, significant advance in experimental methodology ....Modelling of unsteady natural convection in a reservoir sidearm. Horizontal exchange flows induced by daytime heating and night-time cooling through water surface play an important role in the transport of water properties in the shoreline regions of reservoirs. This project is aimed at exploring the driving mechanisms of these flows through a closely linked experimental, numerical and analytical research program. At the completion of this project, significant advance in experimental methodology will be achieved, and reliable experimental and theoretical data will be available that can be used to estimate the heat and mass transfer in the coastal regions which is important for water quality management and environmental planning.Read moreRead less