Advanced Bayesian Inversion Algorithms for Wave Propagation. This project aims to improve algorithms for detecting hidden items by developing new computational mathematical techniques capable of reconstructing the shape and location of objects using electromagnetic waves. This project expects to generate new knowledge in the areas of Bayesian Inversion and computational wave propagation. Expected outcomes of this project are algorithms that can be developed for use in nonintrusive radio wave sec ....Advanced Bayesian Inversion Algorithms for Wave Propagation. This project aims to improve algorithms for detecting hidden items by developing new computational mathematical techniques capable of reconstructing the shape and location of objects using electromagnetic waves. This project expects to generate new knowledge in the areas of Bayesian Inversion and computational wave propagation. Expected outcomes of this project are algorithms that can be developed for use in nonintrusive radio wave security scanners. This should provide benefits such as the capability to scan a crowd without a checkpoint, which will have the potential to improve security in public places.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100006
Funder
Australian Research Council
Funding Amount
$444,847.00
Summary
Robust Derivative-Free Algorithms for Complex Optimisation Problems. Mathematical optimisation gives a systematic way for optimal decision-making. This project aims to develop new mathematical tools for complex optimisation problems where limited problem information is available. It will generate new foundational theories for alternative optimisation tools, introducing substantial new capability and rigour to the discipline. The project will create significant new mathematical optimisation techn ....Robust Derivative-Free Algorithms for Complex Optimisation Problems. Mathematical optimisation gives a systematic way for optimal decision-making. This project aims to develop new mathematical tools for complex optimisation problems where limited problem information is available. It will generate new foundational theories for alternative optimisation tools, introducing substantial new capability and rigour to the discipline. The project will create significant new mathematical optimisation techniques and create world-leading and publicly available software. These new techniques and software may ultimately be able to solve some of the most complex optimisation problems in research and industry, such as improving long-term climate predictions and designing 3D-printed medical implants.Read moreRead less
Complete blood fractionation using a low-cost microfluidic system. This project aims to understand particle focusing in inertial microfluidic systems to design efficient devices for cell sorting. The field of microfluidics could ultimately advance medical research but device design is primitive. Microfluidic particle separations are not thoroughly simulated before fabrication to predict performance. This project is expected to accelerate progress in design of efficient microfluidic devices. The ....Complete blood fractionation using a low-cost microfluidic system. This project aims to understand particle focusing in inertial microfluidic systems to design efficient devices for cell sorting. The field of microfluidics could ultimately advance medical research but device design is primitive. Microfluidic particle separations are not thoroughly simulated before fabrication to predict performance. This project is expected to accelerate progress in design of efficient microfluidic devices. The knowledge and models developed in this project should help design and develop a microfluidic device for efficient fractionation of complex fluids into valuable components.Read moreRead less
Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and buil ....Approximate algorithms and architectures for area efficient system design. This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and build capability in the area of approximate computing. It is also expected to lead to commercial products, licences and revenue, which will enable new job creation.
Read moreRead less
Particle segregation and dynamics in inertial microfluidics systems. This project aims to produce microfluidic devices suitable for high-throughput cell sorting and cellular therapy in the biopharmaceutical industry. This project will combine state-of-the-art experimental approaches with advanced modelling techniques to design and develop the new generation of filtration systems for the pharmaceutical industry. The knowledge and models developed in this project will assist design and development ....Particle segregation and dynamics in inertial microfluidics systems. This project aims to produce microfluidic devices suitable for high-throughput cell sorting and cellular therapy in the biopharmaceutical industry. This project will combine state-of-the-art experimental approaches with advanced modelling techniques to design and develop the new generation of filtration systems for the pharmaceutical industry. The knowledge and models developed in this project will assist design and development of a unique platform for scalable, high-throughput, low-cost and continuous cell separation.Read moreRead less
Burning characteristics of solid combustibles in fire investigation. Predictive fire models are increasingly being considered to analyse fire events. Nevertheless, the burning characteristics of solid combustibles relevant to household and industrial fires are yet to be thoroughly understood and described. This project focuses on the development of novel and innovative predictive fire models by incorporating a more comprehensive analysis of the combustion process of solid fuel, and directly link ....Burning characteristics of solid combustibles in fire investigation. Predictive fire models are increasingly being considered to analyse fire events. Nevertheless, the burning characteristics of solid combustibles relevant to household and industrial fires are yet to be thoroughly understood and described. This project focuses on the development of novel and innovative predictive fire models by incorporating a more comprehensive analysis of the combustion process of solid fuel, and directly linking the chemistry with particular volatiles emitted from the solid combustibles. These volatiles are regarded as being game-changing for fire engineering design assessments for a wide range of high temperature conditions in different settings and configurations.Read moreRead less
Characterization of Fast Propagating Fires in Green Buildings. This project aims to gain a better understanding of the mechanisms of fast-propagating fires and to address the deficiency in current fire models in assessing the fire safety requirement of green buildings. Although there are many compelling advantages associated with green building designs, because they promote better natural ventilation they could pose a significant fire hazard to occupants due to the propensity of rapid fire and s ....Characterization of Fast Propagating Fires in Green Buildings. This project aims to gain a better understanding of the mechanisms of fast-propagating fires and to address the deficiency in current fire models in assessing the fire safety requirement of green buildings. Although there are many compelling advantages associated with green building designs, because they promote better natural ventilation they could pose a significant fire hazard to occupants due to the propensity of rapid fire and smoke spread within the enclosed space. The new predictive fire model in this project is expected to promote a safer and sustainable building environment.Read moreRead less
Insulated sandwich panels in high temperature environments. A robust model comprising pyrolysis of polymeric material coupled with gas combustion will be developed to predict the burning behaviour of expanded polystyrene insulated sandwich panels. These models will provide an effective design tool for fire safety engineering design and the assessment of a wide range of polymeric materials in fire conditions.
Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilit ....Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilities, and released for community use. These developments underpin future ocean state forecasts, sea ice forecasts, wave forecasts, decadal climate prediction and climate process studies. The project will benefit search and rescue, Defence and shipping operations, and will enhance future climate projections.Read moreRead less
Numerically Robust Extruder Die Design for Fabricating High-Quality Preforms for Microstructured Polymer Optical Fibres. Microstructural polymer optical fibres (mPOFs) were pioneered in Australia, are now comparable in performance (but much more versatile) than conventional polymer fibre, and are a highly attractive commercial option. Potential industrial applications envisage cost-effective preform fabrication as a key issue, with extrusion as the favoured route. This interdisciplinary project ....Numerically Robust Extruder Die Design for Fabricating High-Quality Preforms for Microstructured Polymer Optical Fibres. Microstructural polymer optical fibres (mPOFs) were pioneered in Australia, are now comparable in performance (but much more versatile) than conventional polymer fibre, and are a highly attractive commercial option. Potential industrial applications envisage cost-effective preform fabrication as a key issue, with extrusion as the favoured route. This interdisciplinary project benefits Australia by (i) extending and exploiting our research advantages in advanced photonics and computational rheology, (ii) providing the 'missing link' for large-scale mPOF production and positioning us to reap the economic benefits of this innovative technology, and (iii) providing computational techniques for rheological modelling that are applicable in diverse Australian industry sectors.Read moreRead less