Dr Niall Bootland

Research Associate

Mathematics and Statistics

Personal statement

I work with Prof Victorita Dolean as a research associate in scientific computing of wave scattering problems and applications. We are interested in domain decomposition methods for solving frequency domain wave propagation problems, such as those modelled by the Helmholtz or time-harmonic Maxwell equations. These models have applications in electromagnetics, geophysics and medical imaging, amongst others.

Previously I completed my doctorate under Prof Andy Wathen in collaboration with the US Army Coastal and Hydraulics Laboratory where I worked on scalable two-phase flow solvers, in particular focusing on preconditioning for variable coefficient Navier–Stokes equations.


You can find me at these upcoming events:

  • DD26  7 Dec to 11 Dec 2020  Hong Kong (now online)
  • SIAM CSE 2021 — 1 Mar to 5 Mar 2021 — Fort Worth, Texas, USA (and online)
  • SIAM ALA 2021 — 17 May to 21 May 20201 — New Orleans, Louisiana, USA (and online)

or else feel free to drop me an email if you are interested in my work.

You can also find my ResearchGate profile here and my Google Scholar profile here.


Has expertise in:

    Preconditioning; Domain Decomposition Methods; Numerical Linear Algebra; Scientific Computing; Numerical Analysis; Computational Physics; Industrial Mathematics


Multipreconditioning with application to two-phase incompressible Navier–Stokes flow
Bootland Niall, Wathen Andrew
European Numerical Mathematics and Advanced Applications ENUMATH 2019 European Numerical Mathematics and Advanced Applications Conference 2019 (2020)
Solving periodic semilinear stiff PDEs in 1D, 2D and 3D with exponential integrators
Montanelli Hadrien, Bootland Niall
Mathematics and Computers in Simulation Vol 178, pp. 307-327 (2020)
Challenge from Transpower : determining the effect of the aggregated behaviour of solar photovoltaic power generation and battery energy storage systems on grid exit point load in order to maintain an accurate load forecast
Hassell Sweatman Catherine Zoe Wollaston, Wichitaksorn N, Jiang A, Farrell T, Bootland N, Miskell G, Pritchard G, Chrystall C, Robinson G
The Australian and New Zealand Industrial and Applied Mathematics Journal Vol 60, pp. M1-M40 (2020)
On the Dirichlet-to-Neumann coarse space for solving the Helmholtz problem using domain decomposition
Bootland Niall, Dolean Victorita
Numerical Mathematics and Advanced Applications ENUMATH 2019 European Numerical Mathematics and Advanced Applications Conference 2019 (2020)
Preconditioners for two-phase incompressible Navier-Stokes flow
Bootland Niall, Bentley Alistair, Kees Christopher, Wathen Andrew
SIAM Journal on Scientific Computing Vol 41, pp. B843–B869 (2019)
Automatic Optimised Design of Umbilicals
Bootland Niall, Brosa Planella Ferran, Christmas Jacqueline, Lunz Davin, Dewynne Jeff, Fadai Nabil, Gower Artur, Hicks Peter, Kovalchuk Vasyl, Lacey Andrew, Lackner Marie-Louise, Lee Sara, Ockendon John, Pereira Victoria, Piette Bernard, Purvis Richard, Roy Thomas, Spelman Tamsin, Timms Robert
Study Group Reports Study Group Reports (2016)

More publications

Research interests

My wider interests lie in computational methods for solving challenging problems rooted in applications, typically stemming from PDE models which are discretised by finite elements, and developing novel algorithms that are efficient and robust to model parameters. My focus if primarily on the numerical linear algebra tools that are at the centre of effective computational simulations.

Professional activities

Minisymposium on Preconditioning Methods for Frequency Domain Wave Problems
Minisymposium on Recent Advances in Numerical Simulation of Incompressible Flows
Workshop on Iterative Methods for Partial Differential Equations, Scottish Numerical Methods Network 2019
Workshop on Parallel Solution Methods for Systems Arising from PDEs
University of Bath
Visiting researcher
Minisymposium on Preconditioning and Iterative Methods for Differential Equations

More professional activities


Mathematics and Statistics
Livingstone Tower

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