This picture showsTizian Wenzel


Tizian Wenzel

Research assistant
University of Stuttgart
Institute of Applied Analysis and Numerical Simulation


+49 711 685-62059

Pfaffenwaldring 57
70569 Stuttgart
Room: 7.326

Office Hours

By arrangement


  • T. Wenzel, "Analytic properties and numerical investigations of restricted greedy kernel methods", master thesis
  • Wenzel, T., Santin, G., Haasdonk, B.: A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution, arXiv Preprint 1911.04352, 2019. (submitted)
  • Haasdonk, B.; Wenzel, T.; Santin, G.; Schmitt, S.: Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods. University of Stuttgart, 2019 (submitted to ENUMATH 2019 Proceedings).
  • Summer term 2019: Assistance to "Numerische Grundlagen"
  • Winter term 2019/20: Assistance to "Mathematik für Wirtschafswissenschaftler"
  • Summer term 2020: "Numerical methods for differential equations"
  • 2013-2016: Bachelor studies in Physics at the University of Stuttgart
  • 2016-2019: Master studies in Mathematics at the Univerity of Stuttgart
  • 2018: Internship and working student at Daimler AG, Stuttgart
  • since 2019: PhD student/Ressearch associate at the University of Stuttgart
  • Data-based modelling for high-dimensional function approximation, data-analysis, machine learning
  • Deep greedy kernel methods for submodel coupling in fluid- and biomechanics
  • ML-MORE: Maschinelles Lernen und Modellordnungsreduktion zur Vorhersage der Effizienz katalytischer Filter

2019: Graduation award from Robert Bosch GmbH

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