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Andreas Schafelner

 

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Andreas Schafelner

 

Contact


Office: Science Park II, 0086

Phone: ++43(0)732/2468-5140

EMail:

Address:
Doctoral Program Computational Mathematics
Johannes Kepler University
Altenberger Straße 69
A-4040 Linz
Austria

Publications

 

 

Short Curriculum Vitae


  • September 2006 - June 2011 Highschool HTBLA Perg
  • September 2011 - May 2012 Civil Service
  • September 2012 - April 2016 Bachelor Studies "Technische Mathematik", JKU Linz, Austria.
  • April 2016 - December 2017 Master Studies "Industrial Mathematics", JKU Linz, Austria.
  • Since January 2018 PhD Student in the Doctoral Program "Computational Mathematics'', JKU Linz,
 Austria.

Research interests

  • Space-time Finite Element Methods
  • Evolution equations
  • Simulation of Electrial Machines
  • Parallelization
  • High Performance Computing
  • Multi-level Solvers
  • Algebraic Multigrid

Activities

Scientific Stays

Participation at conferences and workshops

  • July 17 - 23, 2016 ECMI Modelling Week, Sofia, Bulgaria.
  • February 19 - 21, 2018 Austrian High Performance Computing Meeting (AHPC), Linz, Austria.
  • May 3 - 4, 2018 14th Austrian Numerical Analysis Day, Klagenfurt, Austria.
  • August 6 - 10, 2018 11th Workshop on 'Analysis and Advanced Numerical Methods for Partial Differential Equations (not only) for Junior Scientists', Särkisaari, Finland
  • September 26 - 28, 2018 DK Statusseminar, Strobl, Austria
  • February 18 - 22, 2019 GAMM 90, Vienna, Austria
  • February 25 - 27, 2019 Austrian High Performance Computing Meeting 2019, Grundlsee, Austria
  • March 24 - 28, 2019 19th Copper Mountain Conference On Multigrid Methods, Copper Mountain, CO, USA
  • June 18 - 21, 2019 MAFELAP, London, UK
  • July 1 - 5, 2019 12th Workshop on 'Analysis and Advanced Numerical Methods for Partial Differential Equations (not only) for Junior Scientists', Strobl, Austria

Awards

Teaching

  • Tutor for "Programmierung" in WS2015/16 and WS2016/17
  • Tutor for "Computersysteme" in SS2015 and SS2016
  • Tutorial "Numerische Analysis" in WS2018