Munich, Bavaria, Germany
Research Associate & Ph.D. candidate at the Chair of VIbroacoustics of Vehicles and Machines of the Technical University of Munich. During my tenure, I taught several courses for undergrad and grad students concerning engineering mechanics and computation acoustics, wrote multiple project proposals and conducted multiple projects concerning experimental, computational and data-driven solutions for vibroacoustic engineering problems. My Ph.D. research focuses on the application of data-driven methods (Probabilistic approaches, e.g. Bayesian Inference, and deep learning) to enhance acoustic material characterization of porous materials subject to natural uncertainty.
Efficient Simulation of Sound Radiation of an Electric Drive Using Model Order Reduction
Research Assistant for Computational Acoustics at the Chair of Vibro-Acoustics of Vehicles and Machines