Dr. Jonas Kratzke

Phone: +49 6221 54 14512
Room: 1/220
jonas.kratzke <_at_> iwr.uni-heidelberg.de


Office address/Post address

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

Short Biography

In my studies of technical mathematics at the Karlsruhe Institute of Technology (KIT), I placed special emphasis on computational fluid dynamics (CFD) and medical simulation systems. I graduated in 2013 with a diploma thesis on A Virtual Wind Channel for Low Reynolds Numbers: A Numerical Approach based on Lattice Boltzmann Methods (LBM), in which I investigated the quality of a surface force evaluation method by the means of computing the drag coefficient of complex-shaped objects.
In June 2013, I joined the work group of Prof. Dr. Heuveline as a research associate. In the scope of the project Autostereoscopic medical visualization for minimally invasive surgery (AstemViz), I deepened my experiences in numerical methods for cardiovascular applications. As an associate member of the Collaborative Research Center SFB/TRR 125 Cognition-guided Surgery my research focuses on fluid-structure interaction simulations for surgery assistance systems. Applied to the thoracic aorta, a further-reaching question is, how the reliability of simulation outcomes can be measured, aiming at a trustworthy clinical integration of simulation methods.

Research Interests

  • Computational fluid dynamics (CFD)
  • Fluid-structure interaction (FSI)
  • Uncertainty quantification (UQ)
  • Cardiovascular applications
  • High performance computing (HPC)




  • Uncertainty quantification for the simulation of the human heart
    Workshop at the Philips Research Laboratories, Hamburg, 25.06.2018
  • A probability measure for aortic vessel wall overload based on fluid-structure interaction simulations
    ECCM - ECFD 2018, Glasgow, UK, 13.06.2018
  • Fluid-Structure Interaction with Uncertainty in Medical Engineering
    SIAM Conference on Uncertainty Quantification (UQ18), Los Angeles, USA, 16.04.2018
  • HPC-based uncertainty quantification for fluid-structure coupling in medical engineering
    bwHPC Symposium 2017, Tübingen, 04.10.2017
  • Enhancing Imaging in Medical Engineering using HPC: Application to an Aortic Phantom
    6th International Conference on High Performance Scientific Computing (HPSC), Hanoi, Vietnam, 16.03.2015
  • Towards enhancing 4D-MRI imaging in aortic phantoms by means of numerical simulation
    IWH Symposium Simulation and Optimization of Extreme Fluids, Heidelberg, 11.11.2014
  • HiFlow3-based Numerical Simulations for Cognition-Guided Surgery
    PDE Soft 2014 Conference, Heidelberg, 15.07.2014
  • HPC-based Numerical Simulations for Cognition-Guided Surgery
    International Symposium on Modeling and Simulation of the Cardiovascular System, Heidelberg, 11.02.2014