Denisa Martonová

Denisa Martonová, M. Sc.

doctoral candidate

Department of Mechanical Engineering
Institute of Applied Dynamics (LTD, Prof. Leyendecker)

Room: Room 01.015
Immerwahrstrasse 1
91058 Erlangen

curriculum vitae

  • 2011 – 2014 B.Sc. in Molecular Medicine, University of Regensburg
  • 2013 – 2016 B.Sc. in Mathematics, University of Regensburg
  • 2016 – 2018 M.Sc. in Mathematics, University of Regensburg
  • 2019 – doctoral candidate, Institute of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg




reviewed journal publications





conferences and proceedings






further publications


  • Smoothed finite element methods in modelling and simulation of cardiac electromechanics

    (Third Party Funds Single)

    Term: 2022-04-01 - 2024-03-31
    Funding source: Deutsche Forschungsgemeinschaft (DFG)
  • Establishment of a heart support system as a contractile membrane based on the pericardium

    (Third Party Funds Single)

    Term: 2016-05-01 - 2022-07-15
    Funding source: Stiftungen

    This projectcontains the establishment of a heart support system as a contractile membrane based on the pericardium to minimize theconsequences of severe heart disease and to maintain proper cardiacfunction. The project is a research cooperation between the Institute ofApplied Dynamics and the Pediatric Cardiology at the Friedrich-Alexander-Universität Erlangen-Nürnberg and is funded by the Klaus Tschira Foundation.

    The project includes the study ofcardiac function under pathological and normal conditions by developing computer models of the heart, which are validated with experimental data ofpediatric cardiology of the University of Erlangen Nuremberg. The clinicalmeasurements and experimental data, as well as the simulation model are basedon rat hearts. Subsequently, a cardiac support system based on a membrane is to be designed to improve or at least maintain heart function under pathological conditions.

    In particular at the Institute of Applied Dynamics, we are focusing on the development of theunderlying computational heart model including the anatomy, morphology,electrophysiology and also the fluid-structure interaction to be able to buildup the optimized heart support system but also to better understand thefunction of the heart and thus to predict or early detect cardiac dysfunctions andbring new treatments to the clinic.