Matthias Mayr
Scholar

Matthias Mayr

Google Scholar ID: -U3wAecAAAAJ
University of the Bundeswehr Munich
Numerical Simulation of PDEsCoupled Multi-Physics ProblemsComputational Mechanics
Citations & Impact
All-time
Citations
425
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • 2017: Robert J. Melosh Medal, Duke University
  • 2010: Scholarship from Prof. Dr. Erich Müller Stiftung for research visit at Duke University
  • 2010: Scholarship from MAN Truck & Bus Company, Technische Universität München
  • 2009: Rudolf Diesel Award, Technische Universität München
  • 2008–2010: Full Academic Scholarship from the Max-Weber-Programm, funded by the State of Bavaria
  • 2008–2010: Full Scholarship from the Bayerische EliteAkademie
  • Active contributor to open-source scientific software projects including 4C Multiphysics, Trilinos, MueLu, MIRCO, and Drekar
Research Experience
  • 09/2020 – Present: Head of Laboratory, Data Science & Computing Lab, University of the Bundeswehr Munich, Germany
  • 07/2018 – Present: Postdoctoral Researcher & Lecturer, Institute for Mathematics & Computer-Based Simulation, University of the Bundeswehr Munich, Germany
  • 03/2017 – 05/2018: Postdoctoral Researcher, Sandia National Laboratories, Livermore, CA, USA
  • 10/2010 – 12/2016: Research & Teaching Associate, Mechanics & High Performance Computing Group, Technische Universität München, Germany
  • 09/2015: Visiting Researcher, Computational Science Research Institute, Sandia National Laboratories, USA
  • 04/2010 – 09/2010: Visiting Student Researcher, Duke Computational Mechanics Lab, Duke University, Durham, USA
Background
  • Research interests include coupled multi-physics problems, fluid-structure interaction, magneto-hydrodynamics (MHD), and electromagnetics
  • Focus on contact & interface mechanics, multi-scale phenomena, cardiovascular mechanics, and biomedical engineering
  • Expertise in parallel linear solvers, preconditioning, multi-level methods, and nonlinear solvers
  • Work on time integration, error estimation, implicit/explicit (IMEX) schemes, and numerical methods for PDEs
  • Specializes in Finite Element Methods, Mortar methods, High Performance Computing, and algorithms for novel hardware architectures
  • Engaged in data-driven modeling and scientific software development
Miscellany
  • Since 2022: Member of GAMM Activity Group 'Applied and Numerical Linear Algebra'
  • Since 2020: Member of GAMM Activity Group 'Computational Science & Engineering'
  • Since 2020: Member of RISK Research Center, University of the Bundeswehr Munich
  • Since 2020: Member of European Mechanics Society (EUROMECH)
  • Since 2018: Member of Society for Industrial and Applied Mathematics (SIAM)
  • Since 2017: Active in the scientific computing community