Dr Alex Bespalov BSc PhD

Alex Bespalov

School of Mathematics
Associate Professor in Numerical Analysis

Contact details

Address
School of Mathematics
Watson Building
University Âé¶¹¾«Ñ¡
Edgbaston
Birmingham
B15 2TT
UK

Dr Alex Bespalov is Associate Professor in Numerical Analysis and a member of the Applied Mathematics group in the School of Mathematics. Alex is a numerical analyst with expertise in a range of modern computational methods and techniques. His research aims at the design, analysis and implementation of robust and accurate numerical algorithms for solving mathematical problems coming from real-life applications. Alex's research has been supported by EPSRC and The Alan Turing Institute.

Qualifications

  • PhD in Computational Mathematics, Russian Academy of Sciences, 1999.
  • BSc in Mathematics, 1994.

Biography

Alex obtained his PhD in Computational Mathematics from the Russian Academy of Sciences in 1999.

Before joining the University Âé¶¹¾«Ñ¡, Alex held postdoctoral research positions at Universidad de Concepción (Chile), Brunel University, and the University of Manchester.

Teaching

Semester 1

LH/LM Financial Mathematics

LH/LM Numerical Methods and Numerical Linear Algebra

Postgraduate supervision

Alex is happy to discuss potential supervision of PhD research projects in Numerical Analysis with motivated and suitably qualified candidates.

PhD opportunities

Research

Research themes

  • Numerical solution of partial differential and boundary integral equations
  • Numerical methods for uncertainty quantification
  • High-order (p- and hp-) finite element and boundary element methods
  • Error estimation, error control, and adaptivity
  • Singularities and their numerical approximation
  • Applications to electromagnetics, linear elasticity, and fluid dynamics
  • Software development

Research activity

Alex specialises in Numerical Analysis. As a mathematician, he is interested to see how intrinsic properties of mathematical models (e.g., differential equations) influence their numerical approximations. He uses these insights together with advanced methods of applied analysis to provide mathematical justification of robust and accurate numerical algorithms tailored to specific problems of practical interest.

One direction of Alex's research concerns numerical methods for problems with uncertain (or, random) inputs. Here, the focus is on the development and analysis of efficient, accurate and practical numerical methods for solving high-dimensional parameter-dependent partial differential equations (PDEs). This research is within a rapidly evolving area of uncertainty quantification, which is at the forefront of modern computational science.

Alex's research in numerical methods for uncertainty quantification goes hand in hand with his expertise in and passion for high-order polynomial approximations. He also studies these in the context of finite element and boundary element methods for deterministic PDE problems posed over non-smooth (not necessarily bounded) domains. Here, non-smoothness of physical domain is one of the key points when thinking of practical applications, e.g., in civil engineering (crack detection) and electromagnetics (radar design).

Alex has been collaborating with many colleagues across the world, notably with Professor Norbert Heuer (Pontificia Universidad Católica de Chile), Professor Ralf Hiptmair (ETH Zurich, Switzerland), Professor Serge Nicaise (Université de Valenciennes, France), Professor Dirk Praetorius (Technical University of Vienna), and Professor David Silvester (University of Manchester).

Other activities

  • Reviewer for Mathematical Reviews (2008-2013)
  • SIAM member (since 2018)

Publications

Recent publications

Article

Bespalov, A, Praetorius, D, Round, T & Savinov, A 2025, '', SIAM/ASA Journal on Uncertainty Quantification.

Bespalov, A & Silvester, DJ 2023, '', SIAM Journal on Scientific Computing, vol. 45, no. 2, pp. A781-A797.

Bespalov, A, Silvester, DJ & Xu, F 2022, '', SIAM Journal on Scientific Computing, vol. 44, no. 5, pp. A3393-A3412.

Bespalov, A, Praetorius, D & Ruggeri, M 2021, '', I M A Journal of Numerical Analysis.

Bespalov, A, Loghin, D & Youngnoi, R 2021, '', SIAM Journal on Scientific Computing, vol. 2021, pp. S92-S116.

Bespalov, A, Praetorius, D & Ruggeri, M 2021, '', SIAM/ASA Journal on Uncertainty Quantification, vol. 9, no. 3, pp. 1184-1216.

Bespalov, A & Xu, F 2020, '', Computers & Mathematics with Applications, vol. 80, no. 5. <>

Khan, A, Bespalov, A, Powell, C & Silvester, D 2020, '', Mathematics of Computation, vol. 0, 3572.

Bespalov, A, Rocchi, L & Silvester, D 2020, '', Computers & Mathematics with Applications, vol. 81, pp. 373-390.

Bespalov, A, Betcke, T, Haberl, A & Praetorius, D 2019, '', Computer Methods in Applied Mechanics and Engineering, vol. 346, pp. 260-287.

Bespalov, A, Praetorius, D, Rocchi, L & Ruggeri, M 2019, '', SIAM Journal on Numerical Analysis, vol. 57, no. 5, pp. 2359–2382.

Crowder, A, Powell, C & Bespalov, A 2019, '', SIAM Journal on Scientific Computing, vol. 41, no. 3, pp. A1681-A1705.

Bespalov, A & Rocchi, L 2018, '', SIAM/ASA Journal on Uncertainty Quantification, vol. 6, no. 1, pp. 243–272 .

Bespalov, A, Praetorius, D, Rocchi, L & Ruggeri, M 2018, '', Computer Methods in Applied Mechanics and Engineering.

Bespalov, A, Haberl, A & Praetorius, D 2017, '', Computer Methods in Applied Mechanics and Engineering, vol. 317, pp. 318-340.