Dr Michal Bosy

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Michal Bosy
About
Teaching and learning
Research
Leadership and management

About

I am Lecturer in Mathematics and Computing at Kingston University since 2021. My research areas are Numerical Analysis and Scientific Computing. I focus on the design, analysis and efficient implementation of finite or boundary element methods for partial differential equations. 

I received my PhD in 2017 from the University of Strathclyde in Glasgow, working under the supervision of Victorita Dolean and Gabriel  Barrenechea on Efficient discretisation and domain decomposition preconditioners for incompressible fluid mechanics. Before moving to Kingston University, I was a Research Fellow at University College London from 2019. I worked with Erik Burman and Timo Betcke on Coupling of finite element and boundary element methods. Between 2017-2019 I worked with Giancarlo Sangalli at the University of Pavia on Efficient solvers for Isogeometric methods.

For more information please visit:

https://michalbosy.wixsite.com/mathematician

Academic responsibilities

Lecturer in Mathematics and Computing

Qualifications

  • 2017 PhD in Applied Mathematics
  • 2013 Master of Pure Mathematics
  • 2011 Bachelor of Mathematics
  • 2022 Fellow of Higher Education Academy

Teaching and learning

I am a supervisor of postgraduate and undergraduate students working on their dissertation projects in Data Analysis, Numerical Methods and Computational Mathematics.

I am or was (depending on the term) a teacher of:

  • CI4450 Professional Environments module;
  • MA4510 Problem Solving and Computational Mathematics module;
  • MA4700 Mathematics of AI module (Module Leader);
  • EG4012 Engineering Mathematics and Computing module;
  • CI5250 Computing Systems module;
  • MA5500 Application of Calculus and Linear Systems module (Module Leader);
  • MA6530 Optimisation Techniques and Applications module;
  • MA6910 Individual Project module;
  • CI7000 Project Dissertation module;

Qualifications and expertise

  • Fellow of Higher Education Academy

Undergraduate courses taught

Postgraduate courses taught

Research

As a mathematician and computer scientist, I try to understand the world by

  • Modelling real-life problems using differential equations.
  • Building efficient solvers for large linear systems.
  • Developing numerical software.
  • Researching machine learning approaches for uncertainty.

My research interests are focused on the design and analysis of coupling methods for partial differential equations. These methods arise because of considering multi-physics problems, non-conforming methods or using domain decomposition methods. The applications that I have studied include such fields of science and engineering as fluid dynamics, continuum mechanics, wave propagation and biomolecular physics.  

My theoretical investigations include the design of well-posed discrete problems and a priori error analysis for Galerkin finite element methods using continuous and discontinuous approximation spaces. 

My computational studies include the design of efficient iterative solvers using domain decomposition methods that allow taking advantage of modern parallel architectures.

Qualifications and expertise

  • Numerical Analysis
  • Computational Mathematics
  • Mathematical Modelling

Areas of specialism

  • Finite and boundary element methods
  • Domain Decomposition methods
  • Partial Differential Equations
  • Multi-physics problems
  • Coupling methods

Publications

Jump to: Article | Conference or Workshop Item
Number of items: 8.

Article

Bosy, Michal, Scroggs, Matthew W., Betcke, Timo, Burman, Erik and Cooper, Christopher D. (2023) Coupling finite and boundary element methods to solve the Poisson–Boltzmann equation for electrostatics in molecular solvation. Journal of Computational Chemistry, ISSN (print) 0192-8651 (Epub Ahead of Print)

Betcke, Timo, Bosy, Michał and Burman, Erik (2022) Hybrid coupling of finite element and boundary element methods using Nitsche's method and the Calderon projection. Numerical Algorithms, ISSN (print) 1017-1398 (Epub Ahead of Print)

Bogdan, Krzysztof, Bosy, Michał and Skalski, Tomasz (2022) Maximum likelihood estimation for discrete exponential families and random graphs. Latin American Journal of Probability and Mathematical Statistics, 19, pp. 1045-1070. ISSN (online) 1980-0436

Bosy, Michał, Montardini, Monica, Sangalli, Giancarlo and Tani, Mattia (2020) A domain decomposition method for isogeometric multi-patch problems with inexact local solvers. Computers & Mathematics with Applications, 80(11), pp. 2604-2621. ISSN (print) 0898-1221

Barrenechea, Gabriel R., Bosy, Michał, Dolean, Victorita, Nataf, Frédéric and Tournier, Pierre-Henri (2019) Hybrid discontinuous Galerkin discretisation and domain decomposition preconditioners for the Stokes problem. Computational Methods in Applied Mathematics, 19(4), pp. 703-722. ISSN (print) 1609-4840

Barrenechea, Gabriel R., Bosy, Michał and Dolean, Victorita (2018) Numerical assessment of two-level domain decomposition preconditioners for incompressible Stokes and elasticity equations. ETNA - Electronic Transactions on Numerical Analysis, 49, s41-s63. ISSN (online) 1068-9613

Conference or Workshop Item

Hunter, Gordon, Bosy, Michal, Jones, Mark and Wyman, Christopher (2024) Mathematics for an undergraduate course in artificial intelligence : aspirational perspectives and initial lessons learned. In: CETL-MSOR 2024; 29-30 Aug 2024, Limerick, Ireland. (Unpublished)

Barrenechea, Gabriel R., Bosy, Michał and Dolean, Victorita (2018) Stabilised hybrid discontinuous Galerkin methods for the Stokes problem with non-standard boundary conditions. In: ICOSAHOM 2018 : International Conference on Spectral and High Order Methods; 09 - 13 Jul 2018, London, U.K..

This list was generated on Tue Dec 3 04:23:23 2024 GMT.

Leadership and management

University responsibilities

  • Organiser of the Faculty of Engineering, Computing and the Environment Seminar

Social media

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