Stefan Wierling

Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Stefan Wierling

Einsteinstr. 62, room 120.009
48149 Münster

T: +49 251 83-35056

Academic ProfileExternal Profile
Research Foci

Computational Mathematics

Mathematical Modelling of Atherosclerotic Plaque Formation

Most vascular pathologies arise from atherosclerosis. Atherogenesis is an inflammatory process mainly triggered by low-density lipoproteins entering the intimal layer of arteries. This phenomenon in turn is regionally related to a blood flow dependent change in endothelial shear stress. We aim at numerical modeling of atherogenesis based on multiparametric imaging data of vessel architecture, blood flow and vascular inflammation. Simulation-based characterisation of the dependence of plaque formation on critical parameters should finally support our understanding of plaque development.

Discontinuous Galerkin Methods

DUNE (Distributed and Unified Numerics Environment)

CV

Academic Education

Doctoral studies (Mathematics)
Mathematics (diploma), minor: Computer Sciences
Mathematics (diploma), minor: Computer Sciences
bachelor Mathematics/Computer Sciences

Positions

Research Assistent (University of Muenster)
Student research assistant (University of Muenster)
Student research assistant (FU in Hagen)
Projects
Articles
  • , , , and . . “The DUNE-FEM-DG module.Archive of Numerical Software 5 (1): 2161. doi: 10.11588/ans.2017.1.28602.
  • , , and . . “Efficient Parallel Simulation of Atherosclerotic Plaque Formation Using Higher Order Discontinuous Galerkin Schemes.” in Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems, Vol.78 of Springer Proceedings in Mathematics & Statistics, edited by J Fuhrmann, M Ohlberger and C Rohde. Springer International Publishing. doi: 10.1007/978-3-319-05591-6_61.
Scientific Talks

  • Miscellaneous

     

    Atherosclerosis

    Inflammation process of Atherosclerosis (2D Simulation, 3D Simulation)

    Further Projects

    Mathematics and Computer Sciences always have been my passion.

    As pupil, I developed for the university project  lernserver - indivuelle Rechtschreibförderung the central diagnosis component of a individual spelling support. The C++ (and Visual Basic.Net) programm is still in use to reliably classify single words containing a high number of spelling mistakes (e.g. five). Results from commercial products have been outperformed.