Dr. Chen Song

IWR

Phone: +49 6221 54 14530
Room: 1/227
chen.song <_at_> iwr.uni-heidelberg.de

HITS

Phone: +49 6221 533 520
chen.song <_at_> h-its.org

Postdoc

Office address/Post address

Engineering Mathematics and Computing Lab (EMCL)
Interdisciplinary Center for Scientific Computing (IWR)
Im Neuenheimer Feld 205
69120 Heidelberg (Germany)


Biography

Since 06/2018

Postdoc at Heidelberg University, Germany.

12/2013 -- 06/2018

 

PhD student at Heidelberg University, Germany.

09/2012 -- 09/2013

Master of Research in Biomechanics, Claude Bernard University Lyon 1, France.

09/2010 -- 09/2013

Engineer Diploma (Diplôme d'ingénieur) in Mechanical Engineering, Polytech Lyon, Claude Bernard University Lyon 1, France.

09/2008 -- 09/2010

University Technology Diploma (Diplôme Universitaire de Technologie - DUT) in Mechanical and Manufacturing Engineering, Claude Bernard University Lyon 1, France. 

 


Research Interests

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

 

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
Mutilevel 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

• M. Schick, C. Song, V. 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

• C. Song, M. Wlotzka, K. Stavaker, V. Heuveline, P. Fritzson
PDE Modeling with Modelica via FMI Import of HiFlow3 C++ Components with Parallel Multi-Core Simulations
Proceedings of the 55th SIMS Conference on Modeling and Simulation, 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 
2nd 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
1st 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