• M. Schick and V. Heuveline, Numerical Evaluation of a parallel stochastic Galerkin solver for the incompressible Navier-Stokes equations with uncertain parameters, submitted
  • M. Schick, Parareal time-stepping for limit-cycle computation of the incompressible Navier-Stokes equations with uncertain periodic dynamics, Book chapter, submitted
  • M.Hoecker, K. Polsterer, D.Kügler, V. Heuveline, Modified fractal similarity measures: A new generic method for unsupervised analysis of noisy, high-dimensional, and large datasets in astronomy, SIGMOD 2015, Melbourne Australia, submitted
  • D.Kügler, K. Polsterer, M.Hoecker, Determining Spectroscopic Redshifts by Using k Nearest Neighbors Regression, Astronomy & Astrophysics Journal 2015, submitted


  • M. Schick, V. Heuveline and O. P. Le Maître, A Newton-Galerkin method for fluid flow exhibiting uncertain periodic dynamics, SIAM/ASA Journal on Uncertainty Quantification (2)1, pp. 153-173, 2014
  • M. Schick, A parallel multilevel spectral Galerkin solver for linear systems with uncertain parameters, Proceedings of the 22nd Euromicro Conference on Parallel, distributed and network-based Processing, pp. 352-359, Torino, Italy, February 2014
  • V. Heuveline and M. Schick, A hybrid generalized Polynomial Chaos method for stochastic dynamical systems, International Journal for Uncertainty Quantification 4(1), pp. 37-61, 2014
  • 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, 55th SIMS Conference on Simulation and Modelling, pp. 184-191,Aalborg, Denmark , October , 2014


  • V. Heuveline and M. Schick, Wie sicher oder unsicher ist Ihre numerische Simulation? Neue Ansätze zur Quantifizierung von Unsicherheiten, GAMM Rundbrief 02/2013
  • M. Hoecker, M. Kunze, An on-demand scaling stereoscopic 3D video streaming service in the cloud, Journal of Cloud Computing: Advances, Systems and Applications 2013
  • Patent: Scalable System and Method of Providing Stereoscopic Video in a Requested Format (US-application 13/528,431)