Prof. Wolfgang A. Wall

Academic Career and Research Areas

Prof. Wall conducts research in the field of computational mechanics. The focus is on single field problems (e.g. structural and fluid mechanics) as well as complex coupled multi-field and multi-scale problems. The research expertise covers the entire cycle of novel approaches to modeling, the development of powerful numerical methods, the implementation in efficient software and application-oriented simulations on supercomputers. The methodological spectrum also extends to uncertainty quantification, machine learning and inverse problems. Applications include all areas of engineering and applied sciences, with a focus on biophysics and biomedicine.

A native of Salzburg, Austria, he studied at the University of Innsbruck. After a research stay at Princeton University, he earned his PhD at the University of Stuttgart. In 2003, he would be appointed head of the newly created Institute for Computational Mechanics at TUM. He was founding director of the Munich School of Engineering and currently serves as Rector of CISM (Udine/Italy), among other positions.

Awards

  • European Research Council (ERC) Advanced Grant (2021)
  • EUROMECH Fellow Award (2018)
  • Member of Bavarian Academy of Sciences (2017)
  • Prandtl Medal (2016)
  • Member of Austrian Academy of Sciences (2015)

Ager C, Seitz A, Wall WA: “A consistent and versatile computational approach for general Fluid-Structure-Contact Interaction problems”. International Journal for Numerical Methods in Engineering, 2020.

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Kremheller J, Vuong A-T, Schrefler BA, Wall WA: “An approach for vascular tumor growth based on a hybrid embedded/homogenized treatment of the vasculature within a multiphase porous medium model”. International Journal for Numerical Methods in Biomedical Engineering. 2019; 35: e3253.

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Pfaller MR, Hörmann JM, Weigl M, Nagler A, Chabiniok R, Bertoglio C, Wall WA: “The importance of the pericardium for cardiac biomechanics: From physiology to computational modeling”. Biomechanics and Modeling in Mechanobiology. 2019; 18: 503-529.

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Roth CJ, Becher T, Frerichs I, Weiler N, Wall WA: “Coupling of EIT with computational lung modelling for predicting patient-specific ventilatory responses”. Journal of Applied Physiology. 2017; 122: 855-867.

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Biehler J, Gee MW, Wall WA: “Towards efficient uncertainty quantification in complex and large scale biomechanical problems based on a Bayesian multi fidelity scheme”. Biomechanics and Modeling in Mechanobiology. 2015; 14(3): 489-513.

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