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

Describe the theoretical properties of methods based on machine learning to solve forward, inverse and operator design problems associated with partial differential equations.

Student intake

Open for Bachelor, Honours, Masters, PhD students

People

Sensitivity analysis is an important tool in evaluating model behaviour and assessing which parameters are significant, as well as the interactions between parameters.

Student intake

Open for Summer scholar students

People

Shaping value of information to real world conditions in water decision making

Student intake

Open for Summer scholar students

People

Members

Researcher

Rowena Ball photo

Professor

Barry Croke

Senior Fellow / Professor

Lilia Ferrario

MSI Director
Professor

photo of Teresa Heiss-Synak

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

Retired and Honorary

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Emeritus Professor

Markus Hegland

Emeritus Professor

Steve Roberts

Emeritus Professor

Dayal Wickramasinghe

Emeritus Professor

Student