c_song

Phone: +49 (0)6221 – 533 – 520
Email: Chen.Song(at)h-its.org

Research interests

  • Uncertainty Quantification (UQ)
  • Biomechanical Engineering
  • Variational Multiscale Method (VMS)
  • Rotating system modeling
  • High Performance Computing (HPC)
  • Computational Fluid Dynamics (CFD)

Publications

  • Simon Gawlok, Philipp Gerstner, Saskia Haupt, Vincent Heuveline, Jonas Kratzke, Philipp Lösel, Katrin Mang, Mareike Schmidtobreick, Nicolai Schoch, Nils Schween, Jonathan Schwegler, Chen Song, Martin Wlotzka

HiFlow3 – Technical Report on release 2.0

EMCL Preprint Series 2017-06, 2017

  • Chen Song, Vincent Heuveline

Multilevel preconditioner of Polynomial Chaos Method for quantifying uncertainties in a blood pump

Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), 2017

  • Chen Song, Markus Stoll, Kristina Giske, Rolf Bendl, Vincent Heuveline

Sparse Grids for quantifying motion uncertainties in biomechanical models of radiotherapy patients

EMCL Preprint Series 2017-01, 2017

  • Michael Schick, Chen Song, Vincent Heuveline

A Polynomial Chaos Method for Uncertainty Quantification in Blood Pump simulation

Proceedings of the 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), 2015

  • Chen Song, Kristian Stavåker, Martin Wlotzka , Peter Fritzson and Vincent Heuveline

PDE modeling with modelica via FMI import of HiFlow3 C++ components with parallel multi‐core simulations

Proceedings of the 55th SIMS Conference on Simulation and Modelling, pp 184-191, Aalborg, Denmark, October , 2014

Talks

  • Uncertainty Quantification for the Reliable Simulation of a Blood Pump Device

SIAM conference on Uncertainty Quantification (UQ18), Los Angeles, USA, 2018

  • Application of Uncertainty Quantification for a rotating device

Invited talk by Northeast Electric Power University (NEEPU), Jilin City, China, 2017

  • Multilevel preconditioner of Polynomial Chaos Method for quantifying uncertainties in a blood pump

International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), Rhodes, Greece, 2017

  • Uncertainty Quantification for a Biomedical Blood Pump Application 

SIAM conference on Uncertainty Quantification (UQ16), Lausanne, Switzerland, 2016

  • A Towards Blood Pump Simulation Using Polynomial Chaos and the Variational Multiscale Method

International conference on Quantification of Uncertainty in Engineering, Sciences and Technology (QUEST), Beijing, China, 2015

  • A Polynomial Chaos Method for Uncertainty Quantification in Blood Pump Simulation

International workshop on Uncertainty Quantification in Computational Fluid Dynamics, Paris, France, 2015