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

The polarised radiative transfer equations consist of four coupled first order differential equations in the four Stokes parameters which describe the radiation field.

Student intake

Open for PhD students

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Potential

People

Develop mathematical models for disease spread that take into account human mobility and population dynamics, which can be calibrated using machine learning methods.

Student intake

Open for Bachelor, Honours, Masters, PhD students

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Potential

People

Echelle spectroscopy (here Hamilton echelle at the Lick Observatory 3m telescope) of short period evolved binaries is the key to understanding the origin of cataclymic variables.

Student intake

Open for PhD students

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Potential

People

In this project we rederive and implement a recently published quantum algorithm for the Vlasov-Maxwell system of equations in Q#, a quantum computation platform.

Student intake

Open for Honours, Masters, PhD, Summer scholar students

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Potential

People

The project involves comparing different numerical schemes and testing those schemes with real data.

Student intake

Open for PhD students

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Potential

People

Recent development of a flowing MHD model for a rotating, collisional plasma column discovered the intriguing prediction of opposite axial acceleration of the plasma ions in the subsonic and supersonic regimes. This project would examine the regime above, below, and through the shock.

Student intake

Open for Bachelor, Honours, Masters, Summer scholar 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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