Modelling interactions of spray droplets with plants. This project addresses the National Research Priority of an environmentally sustainable Australia by developing sophisticated mathematical models and interactive software that will identify environmentally friendlier technologies to efficiently deliver agrichemicals while minimising large scale water usage. National benefits will accrue from the provision for postdoctoral, PhD and IT staff training, while direct links with industry will provi ....Modelling interactions of spray droplets with plants. This project addresses the National Research Priority of an environmentally sustainable Australia by developing sophisticated mathematical models and interactive software that will identify environmentally friendlier technologies to efficiently deliver agrichemicals while minimising large scale water usage. National benefits will accrue from the provision for postdoctoral, PhD and IT staff training, while direct links with industry will provide technology transfer to end-users to ensure community uptake. The project will benefit rural and regional communities by providing long-term solutions in the areas of water use and quality, pesticide pollution reduction, and improved environment and human health care.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.
The link between the deep Earth and its dynamic surface. Modelling the two-way interaction of plate tectonics with the actions of erosion and sedimentation gives a fundamentally new view of the dynamics of our planet and the importance of the surface on the deep interior. It will improve our understanding of the formation of sedimentary basins, their evolution and their preservation over geological time.
Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivi ....Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivity. The emphasis is on producing optimal solutions for planning, design, erection, monitoring, dismantling, and relocation of scaffolding, so that productivity is maximised subject to satisfying required cost and safety constraints. The project aims to therefore secure long-term economic benefits by improving productivity and enhancing project performance.Read moreRead less
Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, i ....Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, integer models usually assume the data is known with certainty, which is often not the case in the real world. This project will develop new theory and algorithms to enhance the analysis of integer models, including those that incorporating uncertainty, while also enabling the use of parallel computing paradigms. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101842
Funder
Australian Research Council
Funding Amount
$345,000.00
Summary
New mathematical models for capturing heterogeneity of human brain tissue. This project aims to understand the impact of the heterogeneity of brain tissue on Magnetic Resonance Imaging (MRI) data in both healthy and diseased human brains, and to extract and quantify information on heterogeneity from the data. The project aims to develop novel mathematical and computational approaches to model the heterogeneity of the human brain. The project aims to identify new biomarkers for classifying differ ....New mathematical models for capturing heterogeneity of human brain tissue. This project aims to understand the impact of the heterogeneity of brain tissue on Magnetic Resonance Imaging (MRI) data in both healthy and diseased human brains, and to extract and quantify information on heterogeneity from the data. The project aims to develop novel mathematical and computational approaches to model the heterogeneity of the human brain. The project aims to identify new biomarkers for classifying different brain diseases, based on the extent of heterogeneity across different brain tissue. Results will be validated against extensive MRI scanning data of patients. This project aims to advance state-of-the-art techniques in human brain MRI data analysis.Read moreRead less
Interaction of light with tissues: A hyper-spectral approach . This project aims to address an important problem of noncontact assessment of tissue including skin and cartilage. By using extremely wide spectrum – between the terahertz and the near infrared – the effects of scattering and absorption arising from the variation of tissue properties from macro- to nano-scale will be explored. Spatial variations of tissue properties will be addressed in model and experiment by combining spectroscopy ....Interaction of light with tissues: A hyper-spectral approach . This project aims to address an important problem of noncontact assessment of tissue including skin and cartilage. By using extremely wide spectrum – between the terahertz and the near infrared – the effects of scattering and absorption arising from the variation of tissue properties from macro- to nano-scale will be explored. Spatial variations of tissue properties will be addressed in model and experiment by combining spectroscopy with the novel terahertz and mid-infrared Scanning Near field Optical Microscopy. The outcomes will advance fundamental understanding of light interaction with multi-layered tissues. This will provide a tool for advancing bioengineering research, terahertz technology, and development in biomedical devices.Read moreRead less
Robust numerical solution of partial differential equations on petascale computer systems with applications to tsunami modelling and plasma physics. The project will apply new mathematical ideas to exploit the unprecedented computational resources provided by the next generation of high performance computers. The resulting techniques and software will form a key component for the science needed to understand the workings of complex dynamical systems, such as tsunamis and fusion reactors.