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Dr Pamela Burrage

Science and Engineering Faculty,
Mathematical Sciences,
Applied and Computational Mathematics

Personal

Name
Dr Pamela Burrage
Position(s)
Senior Lecturer
Science and Engineering Faculty,
Mathematical Sciences,
Applied and Computational Mathematics
Discipline *
Numerical and Computational Mathematics, Applied Mathematics
Phone
+61 7 3138 1130
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD
Qualifications

Doctor of Philosophy (University of Queensland), MA (1st class Hons) (University of Auckland)

Keywords

Numerical Methods, Simulation Science, Mathematical Modelling, Visualisation, High Performance Computing, Computational Biology

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Professional and Academic background

Dr Pamela Burrage received her PhD in Mathematics from the University of Queensland (UQ) in 1999, with the thesis “Runge-Kutta methods for Stochastic Differential Equations”.

After being a post-doctoral fellow at UQ in the departments of Mathematics and Civil Engineering, she became an Education/Research Fellow in the Queensland Parallel Supercomputing Foundation (QPSF) (2001 – 2006), developing educational materials and teaching in the areas of Visualisation and High Performance Computing.

A position as Senior Research Fellow at the Institute for Molecular Bioscience (UQ), 2007 – 2009, followed. This was with the QosCosGrid project, modeling and simulating in parallel (on a computational grid) the complex dynamical processes that take place on the plasma membrane of a cell.

She joined QUT as a Senior Lecturer in 2010 in the School of Electrical Engineering and Computer Science, and from 2013 has been in the School of Mathematical Sciences.

Citations

According to Google Scholar (as at June 2017), Dr Burrage has 1464 citations with an h-index of 18 and an i10-index of 20.

Research Interests

Dr Burrage has research interests in

Mathematical modeling and stochastic simulation (in particular the area of computational biology)

Numerical solution of differential equations – the development and efficient implementation of numerical methods for stiff and non-stiff ordinary and stochastic differential equations

Parallel implementations and Visualisation  

This information has been contributed by Dr Pamela Burrage.

Teaching

Teaching areas

• modelling and simulation science

• introductory engineering mathematics

 

Areas of expertise

• numerical solution of ordinary differential equations

• numerical solution of stochastic differential equations

• computational mathematics

This information has been contributed by Dr Pamela Burrage.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Supervision