Simone Preuss

Simone Preuss, M.Sc., is a Research Associate at the Chair of Vibro-Acoustics of Vehicles and Machines at the Technical University of Munich (TUM). She is affiliated with the TUM School of Engineering and Design, Department of Engineering Physics and Computation. Her research focuses on advanced computational acoustics techniques, particularly the Boundary Element Method (BEM), viscothermal acoustics, and acoustic metamaterials.

Her recent work explores the integration of machine learning with BEM for robust sound field calculations and damping quantification. She has contributed to projects involving fluid-structure interaction, inverse acoustics, and numerical methods in Python. Her publications address challenges in thermoviscous acoustics, fast multipole BEM, and isogeometric analysis.

Simone actively teaches courses such as Numerical Acoustics in Python and collaborates with colleagues including Steffen Marburg, Ahmed Mostafa Shaaban, and Johannes Schmid. Her research bridges theoretical advancements in acoustics with practical applications in engineering mechanics and vehicle acoustics.