Simulation of aortic dissection

Malte ROLF

prof_pic.jpg

Postdoctoral researcher

Institute of Applied Mechanics

FAU Erlangen-Nürnberg, Germany

Since March 2025, I have been a postdoctoral researcher at the Institute of Applied Mechanics at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, working within Prof. Ellen Kuhl’s European Research Council Advanced Grant DISCOVER. I also continue to collaborate closely with the group of Prof. Gerhard A. Holzapfel at the Institute of Biomechanics at Graz University of Technology, Austria. This is where I completed my PhD in Biomedical Engineering with distinction in 2024, and I was fortunate to see my dissertation recognized with several national and international awards.

During my doctoral studies, I spent a year at the University of California, Berkeley, in 2016 and 2017 as a visiting researcher working with Prof. Panayiotis Papadopoulos, followed by a three-month research stay with Prof. Alison L. Marsden at Stanford University in 2022. Since then, I have remained connected to Stanford as a sponsored affiliate and currently return regularly for shorter visits to work with Prof. Ellen Kuhl.

research interests

  • Multiscale material modeling and model discovery for soft tissues
  • Modeling and simulation of diseased arteries, especially aortopathies
  • Growth and remodeling of arterial tissue and regenerative biomaterials
  • Verification, validation, and uncertainty quantification of in silico models
  • Uncertainty quantification with Bayesian inference

selected publications

  1. Review
    Mechanisms of aortic dissection: From pathological changes to experimental and in silico models
    M. Rolf-Pissarczyk, R. Schussnig, T.-P. Fries, and 4 more authors
    Progress in Materials Science, 2025
  2. Original
    A reparameterization-invariant Bayesian framework for uncertainty estimation and calibration of simple materials
    M. P. Wollner, M. Rolf-Pissarczyk, and G. A. Holzapfel
    Computational Mechanics, 2026
  3. Original
    Assessment of aortic dissection remodeling with patient-specific fluid-structure interaction models
    K. Bäumler, M. Rolf-Pissarczyk, R. Schussnig, and 6 more authors
    IEEE Transactions on Biomedical Engineering, 2025
  4. Original
    Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder-decoder surrogate
    S. Ranftl, M. Rolf-Pissarczyk, G. Wolkerstorfer, and 4 more authors
    Computer Methods in Applied Mechanics and Engineering, 2022
  5. Original
    A discrete approach for modeling degraded elastic fibers in aortic dissection
    M. Rolf-Pissarczyk, K. Li, D. Fleischmann, and 1 more author
    Computer Methods in Applied Mechanics and Engineering, 2021