Applied and Computational Mathematics
Maths models for understanding brain tumour growth
Dr Qianqian Yang is an ARC Discovery Early Career Research Fellow. Her current research focuses on developing novel mathematical models to extract and quantify information on brain tumours from magnetic resonance imaging data, and providing guidance on identifying, classifying and treating brain tumours.
Advanced battery technology for renewable solutions
Professor Troy Farrell is collaborating on a project to develop more accurate and faster models of lithium ion batteries, to store energy generated by renewable sources, like wind and solar, creating sustainable solutions for power companies and consumers.
3D models of timber for industry and environmental planning
Dr Steven Psaltis and colleagues are collaborating with industry members on a major project; where maths and 3D modelling are being applied to better understand timber properties to improve its commercial and environmental viability.
Recognising high achievement: Professor Ian Turner
Professor Ian Turner is an internationally renowned computational mathematician and numerical analyst. He has published around 150 research articles and has a current h-index of 31 in Scopus and 42 in Google Scholar. He has attracted over $3.6M in ARC research funding and in excess of $1.2M in industry funding.
ARC funding boost for critical research
Our faculty's researchers have been awarded over $6.2 million in recent Australian Research Council (ARC) funding, including Professor Matthew Simpson, who will develop new mathematical analysis, calculations and tools to advance the interpretation of modern experiments on diseased cells.Our ARC grant recipients
What is applied and computational mathematics?
- teaching mathematics with an emphasis on mathematical modelling and numerical simulation
- high quality research to develop new fundamental knowledge in mathematics
- applying new models, algorithms and software to solve complex problems for our partners in academia, industry and government.
Industry engagement in learning
- the electrical activity of the heart
- the growth of cancerous tumours
- wound healing
- battery technology
- coal seam gas production
- wood drying processes
- agrichemical spraying of plants
- sugar cane production
- management of coastal aquifers.
- Heat and mass transfer
- Transport theory
- Fluid dynamics, bubbles and droplets
- Hydrology and groundwater flow
- Electrochemical systems and solar cells
- Porous materials
- Phase-change phenomena
- Multi-scaled modelling.
- Computational biology
- Intra-cellular processes
- Cardiac modelling
- Collective cell motion
- Tissue engineering
- Wound healing processes
- Tumour growth and invasion
- Infectious disease modelling
- Gene regulation
- Pattern formation
- Fracture healing
- Regulation of musculoskeletal tissues.
- Scientific computing and visualisation
- High performance computing
- Parallel computing with GPU hardware
- Stochastic simulation
- Computational efficiency
- Numerical methods
- Numerical linear algebra
- Quantifying uncertainty.
- Analysis of differential equations
- Numerical analysis
- Analysis of stochastic models
- Asymptotic analysis and perturbation methods
- Applied complex analysis
- Geometric singular perturbation theory
- Mathematical cryptology.
- 5 (well above world standard) for numerical and computational mathematics (FOR 0103)
- 4 (above world standard) for applied mathematics (FOR 0102).
Centres and groups
The Category 1 funded research projects we are currently leading are:
This project aims to develop mathematical and computational tools to compute the energy in a given ship wake and to determine a range of properties of a ship by taking simple measurements of the water height as the ship travels past.
The expected outcomes should have direct implications for measuring damage to coastal zones by ship wakes and for surveillance of shipping channels.
Project summaryThis project aims to develop a unifying theoretical framework for generalised fractional models using measure theory and a new class of distributed-order nonlocal operators to simulate anomalous transport processes in heterogeneous and anisotropic porous media.
Project summaryThis project aims to develop mathematical models of cell migration in crowded, living tissues. Existing models rely solely on stochastic simulations, and therefore provide no general mathematical insight into how properties of the crowding environment (obstacle shape, size, density) affect the migration of cells through that environment.
Project summaryThis project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants.
This project will use contemporary fluid mechanics to build practical mathematical models for droplet impaction, spreading and evaporation on leaf surfaces, and experimentally calibrate and validate the models.
Project summaryThis project aims to develop an innovative general framework to build multiphase porous media transport models directly from electron microscope images of the underlying microstructure. Leading edge experimental, computational and applied mathematical techniques are proposed to drive this novel approach of multiscale modelling, employable across numerous fields of science and engineering.
The central theme of developing an efficient and accurate multiscale model for simulating transport in heterogeneous porous media is expected to find application in the drying, timber and crop industries, and governmental agencies managing pollution in groundwater resources. This insight is likely to be invaluable for designing new industrial technologies and optimising current operations.
Project summaryGroundwater constitutes a vital part of water resources in Australia, however, the quality of this water is susceptible to contamination. This project aims to develop an innovative two-scale mathematical model for contaminant transport that accounts for small-scale heterogeneities found in the unsaturated zone of an aquifer located between the ground surface and the underlying groundwater.
The work will develop valuable environmental insights, a simulation tool that will help in making decisions regarding the future management of Australian groundwater resources, and a general two-scale modelling and simulation framework for other important environmental and industrial problems involving coupled transport in heterogeneous media.
Project summaryThis 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.
A key goal is to develop novel mathematical and computational approaches to model the heterogeneity of the human brain. The work also 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.
Project summaryCancer and chronic wounds are a national, and indeed, international health problem set to worsen as our population ages. Predictive and interpretive tools are required to improve our understanding of collective cell migration in relation to cancer and chronic wounds. This project will produce new validated mathematical tools for predicting collective cell migration in a general framework that can deal with application-specific details, such as the role of cell shape and cell size.
Although cell shape and size are known to affect collective cell migration, standard mathematical models ignore these details. This project will produce new predictive mathematical modelling tools that are validated by new experimental data.
Interdisciplinary and inter-institution projects
Project summaryThis project aims to develop a new multiscale model to investigate anisotropic and inhomogeneous mechanical properties of cartilage. It has been found that the mechanical properties of cartilage highly depend on its microstructures and components. The new model is proposed based on a new constitutive relation in the macroscale and a novel algorithm to obtain local stress distributions in the microscale as well as through rigorous experimental validations.
Industry and community
- Arrow Energy
- Australian Pine Kilns
- CRC ORE
- Plant Protection Chemistry NZ
- Sugar Research Australia
- Sustainable Technologies International
- Xstrata Queensland Pty Ltd
Universities and institutes
Our discipline brings together a diverse team of experts who deliver world-class education and achieve breakthroughs in research. We invite you to connect with our staff community.
Are you looking to study at a higher or more detailed level? We are currently looking for students to research topics at a variety of study levels, including PhD, Masters, Honours or the Vacation Research Experience Scheme (VRES).