Prof. Dr. Cristóbal Bertoglio

Research interests

Teaching

Short vita

  • Postdoctoral researcher, TU Munich, 2012--
  • Ph.D. in Applied Mathematics, INRIA & Université Paris VI, France, 2008-12
  • Research intern, Max-Planck-Institute for Mathematics in the Sciences, Germany, 2008
  • M.Sc. in Structural Mechanics, Pontificia Universidad Católica, Chile, 2006-07
  • Diploma in Civil Engineering, Pontificia Universidad Católica, Chile, 2000-06

Awards

 Main publications

      see complete list here

  1. C. Bertoglio, D. Barber, N. Gaddum, I. Valverde, M. Rutten, P. Beerbaum, P. Moireau, R. Hose, and J-F. Gerbeau. Identification of artery wall stiffness: in vitro validation and in vivo results of a data assimilation procedure applied to a 3D fluid-structure interaction model. J.Biomech., 47(5):1027-1034, 2014. DOI
  2. C. Bertoglio and A. Caiazzo. A tangential regularization method for backflow stabilization in hemodynamics. J.Comp.Phys., Vol. 261, pp 162–171, 2014. DOI
  3. A. Nagler, C. Bertoglio, M. Gee, and W.Wall. Personalization of cardiac fiber orientations from image data using the Unscented Kalman Filter. Functional Imaging and Modeling of the Heart, Lecture Notes in Computer Science, Vol. 7945, pp 132-140, 2013. DOI
  4. C. Bertoglio, A. Caiazzo, and M.A. Fernandez. Fractional-step schemes for the coupling of distributed and lumped models in hemodynamics. SIAM J. Sci. Comput., 35(3), B551–B575, 2013. DOI
  5. C. Bertoglio, D. Chapelle, M.A. Fernandez, J-F. Gerbeau, and P. Moireau. State observers of a vascular fluid-structure interaction model through measurements in the solid. Comp. Meth. Appl. Mech. Engrg., 256:149-168, 2013. DOI
  6. P. Moireau, C. Bertoglio, N. Xiao, C.A. Figueroa, C.A. Taylor, D. Chapelle, and J-F. Gerbeau. Sequential identification of boundary support parameters in a fluid-structure vascular model using patient image data. Biomech. Model. Mechanobiol., 12(3):475-496, 2013. DOI
  7. C. Bertoglio, P. Moireau, and J-F. Gerbeau. Sequential parameter estimation in fluid-structure problems. Application to hemodynamics. Int. J. Numer. Meth. Biomed. Engrg., 28:434-455, 2012. DOI
  8. C. Bertoglio and B.N. Khoromskij. Low-rank quadrature-based tensor approximation of the Galerkin projected Newton/Yukawa kernels. Comp. Phys. Comm., 183:904-912, 2012. DOI