Dr Pamela Burrage
Faculty of Science,
School of Mathematical Sciences
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 October 2021), Dr Burrage has 2145 citations with an h-index of 22 and an i10-index of 30.
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
Personal details
Positions
- Senior Lecturer
Faculty of Science,
School of Mathematical Sciences
Keywords
Numerical Methods, Simulation Science, Mathematical Modelling, Visualisation, High Performance Computing, Computational Biology
Research field
Numerical and computational mathematics, Applied mathematics
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (University of Queensland)
- MA (1st class Hons) (University of Auckland)
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
Publications
- Burrage, K., Burrage, P. & MacNamara, S. (2021). The reflectionless properties of Toeplitz waves and Hankel waves: An analysis via Bessel functions. Applied Mathematics and Computation, 389. https://eprints.qut.edu.au/207799
- Burrage, K., Burrage, P., Davis, J., Bednarz, T., Kim, J., Vercelloni, J., Peterson, E. & Mengersen, K. (2020). A stochastic model of jaguar abundance in the Peruvian Amazon under climate variation scenarios. Ecology and Evolution, 10(19), 10829–10850. https://eprints.qut.edu.au/205523
- Weerasinghe, H., Burrage, P., Burrage, K. & Nicolau, D. (2019). Mathematical Models of Cancer Cell Plasticity. Journal of Oncology, 2019. https://eprints.qut.edu.au/207951
- Thew, J., Burrage, P., Medlicott, N. & Mallet, D. (2019). Modelling optimal delivery of bFGF to chronic wounds using ODEs. Journal of Theoretical Biology, 465, 109–116. https://eprints.qut.edu.au/124173
- Donovan, D., Burrage, K., Burrage, P., McCourt, T., Thompson, H. & Yazici, E. (2018). Estimates of the coverage of parameter space by Latin Hypercube and Orthogonal Array-based sampling. Applied Mathematical Modelling, 57, 553–564. https://eprints.qut.edu.au/223326
- Abdullah, F., Liu, F., Burrage, P., Burrage, K. & Li, T. (2018). Novel analytical and numerical techniques for fractional temporal SEIR measles model. Numerical Algorithms, 79(1), 19–40. https://eprints.qut.edu.au/223889
- Burrage, K., Burrage, P., Turner, I. & Zeng, F. (2018). On the analysis of mixed-index time fractional differential equation systems. Axioms, 7(2), 1–23.
- Lawson, B., Burrage, K., Burrage, P., Drovandi, C. & Bueno-Orovio, A. (2018). Slow recovery of excitability increases ventricular fibrillation risk as identified by emulation. Frontiers in Physiology, 9, 1–19. https://eprints.qut.edu.au/123752
- Lawson, B., Drovandi, C., Cusimano, N., Burrage, P., Rodriguez, B. & Burrage, K. (2018). Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology. Science Advances, 4(1). https://eprints.qut.edu.au/223413
- Simmons, A., Burrage, P., Nicolau Jr., D., Lakhani, S. & Burrage, K. (2017). Environmental factors in breast cancer invasion: a mathematical modelling review. Pathology, 49(2), 172–180. https://eprints.qut.edu.au/105433
QUT ePrints
For more publications by Pamela, explore their research in QUT ePrints (our digital repository).
Supervision
Current supervisions
- Numerical Solutions of Stochastic Delay-Differential Equations
PhD, Principal Supervisor
Completed supervisions (Doctorate)
Completed supervisions (Masters by Research)
The supervisions listed above are only a selection.