Computational mathematics

Applied & Computational Mathematics

The Applied & Computational Mathematics research area studies a range of applied mathematical topics, including theoretical aspects of computational algorithms, computational PDEs, inverse problems, numerical linear algebra, computational topology, optimisation, data science, environmental science, mathematical modelling, theoretical plasma physics, and theoretical astrophysics.

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About

The Applied & Computational Mathematics research area studies a range of applied mathematical topics, including theoretical aspects of computational algorithms, data science, mathematical modelling, and theoretical astrophysics. The group members have a wide range of research interests in developing numerical methods for solving various application problems. We focus on algorithm design, numerical implementation and theoretical analysis.

Capabilities

The research of our group addresses the following aspects of computational and applied mathematics:

  • Computational PDEs
  • Computational topology and algebraic geometry
  • Environmental science
  • Inverse problems
  • Modelling
  • Numerical linear algebra
  • Optimisation
  • Plasma physics
  • Theoretical astrophysics

Reasons to work with us

Our group members have long-term experience in their research areas, which typically ties into practical applications and government or industrial partners. Examples include fluid dynamics with the River Darling Basin Authority, inverse problems with the Australian Signals Directorate, fusion energy with the Australian Nuclear and Science and Technology Organisation, and seismology with GeoSciences Australia. Completed HDR students routinely find employment in top international research agencies (e.g. US Department of Energy), or pursue higher degree studies in world-leading universities in the US and UK (e.g. Oxford).

Projects

Evaluation of hydrological models

Student intake

Open for Summer scholar students

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As we move into exascale computing, and beyond, the chance of a fault occurring in the system increases. Traditional approaches to building resilience into the system, such as check-pointing, may become too expensive.

Student intake

Open for Honours, Masters, PhD students

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Investigate representation theorems for lattice operators based on mathematical morphology and develop efficient machine learning methods based on them for applications in signal and image processing.

Student intake

Open for Bachelor, Honours, Masters, PhD students

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Study the metastability of Markov processes, in particular interacting particle systems, by analysing the resolvent of the process.

Student intake

Open for Bachelor, Honours, Masters students

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Potential

People

Astronomers are often faced with the problem of constructing models for systems which are not fully constrained by observational data.

Student intake

Open for PhD students

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Potential

People

The goal of this project is to compute the particle orbits in a MRxMHD equilibrium with fully 3D field and quantify the impact of the islands and chaos to particle confinement.

Student intake

Open for Honours, Masters students

Status

Potential

People

Members

Emeritus

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Emeritus Professor

Markus Hegland

Emeritus Professor

Steve Roberts

Emeritus Professor

Dayal Wickramasinghe

Emeritus Professor

Researcher

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Professor

Barry Croke

Senior Fellow / Professor

Lilia Ferrario

MSI Director
Professor

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MSI-Google Fellow

Professor

Qinian Jin

Associate Professor

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MSI-Google Fellow

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Postdoctoral Fellow

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MSI-Google Fellow

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Associate Professor

Kate Turner

Associate Professor and Director, Mathematical Data Science Centre

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Postdoctoral Fellow

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