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Prof. Dr. Steffen Marburg is a Full Professor at the Chair of Acoustics of Mobile Systems within the TUM School of Engineering and Design at the Technical University of Munich. His research focuses on numerical methods in vibroacoustics, structural optimization, and acoustic modeling for applications in automotive, maritime, and musical instrument domains. Education: PhD from Technical University of Dresden (1998). Academic Career: Junior Professor at TU Dresden (2004), Chair of Technical Dynamics at University of the Federal Armed Forces Munich (2010), Full Professor at TUM (2015–present). Editorial Roles: Co-Editor-in-Chief of Journal of Theoretical and Computational Acoustics, Associate Editor of Journal of the Acoustical Society of America, Editor of Acoustics Australia and Mechanical Systems and Signal Processing. His research integrates computational acoustics, boundary element methods, and machine learning to address noise control and structural optimization challenges. Recent work explores acoustic metamaterials, viscothermal losses, and data-driven modeling. He has co-authored over 150 publications and led advancements in multifrequency solution methods and noise-insulating structures. Scientific awards include the Innovation Award of the Industrieclub Sachsen e.V. (1999). His editorial contributions and leadership in journals highlight his influence in computational acoustics and structural dynamics.

• Numerical Methods in Vibroacoustics
• Aeroacoustics
• Structural Optimization
• +6 more

Prof. Dr.-Ing. Gerhard Müller is a Full Professor at the Chair of Structural Mechanics within the TUM School of Engineering and Design at Technical University of Munich (TUM). Since 2004, he has held this distinguished position, and since 2014, he has served as Executive Vice President for Academic and Student Affairs at TUM. His research focuses on structural dynamics and vibroacoustics, with specific expertise in dynamic soil-structure interaction, sound radiation analysis, and seismic risk assessment. Professorship: Structural Mechanics University: Technical University of Munich School: TUM School of Engineering and Design Department: Chair of Structural Mechanics in Civil Engineering Prof. Müller's research spans multiple domains, including: Structural Dynamics : Examining building and vehicle vibrations, seismic soil-structure interaction, and advanced model order reduction techniques Vibroacoustics : Investigating sound radiation from vibrating structures and developing acoustic metamaterials for noise control Computational Methods : Pioneering hybrid deterministic-statistical approaches, Wave Based Methods (WBM) for saturated elastodynamic structures, and parametric model order reduction His recent publications demonstrate expertise in: Wave propagation analysis in poroelastic media Bayesian parameter updating for structural models Acoustic metamaterials for vibration control Advanced numerical methods for seismic risk assessment Hybrid ITM-FEM approaches for soil-structure interaction Energy flow analysis in timber structures Awarded the Spindler Prize in 1984 , Prof. Müller also holds significant academic leadership roles: President of European Association for Structural Dynamics (EASD) Chairman of Bavarian-French University Center (BayFrance) Active member of ASIIN accreditation agency and Bavarian Chamber of Engineers Previously served as Dean of Civil Engineering and Surveying at TUM (2010-2014) He leads the Structural Dynamic Lab (formerly Vibroacoustics Lab) and has developed interactive web apps for engineering education. His work bridges theoretical advancements with practical applications in construction acoustics, transportation noise control, and geothermal energy infrastructure analysis.

• Structural Dynamics
• Vibroacoustics
• Dynamic Soil-Structure Interaction
• +5 more

Prof. Dr. Thomas Grätsch is a faculty member at Hamburg University of Applied Sciences within the Faculty of Technology and Computer Science, specifically in the Department of Mechanical Engineering and Production. His office is located in Room 226e at Berliner Tor 21, 20099 Hamburg, with contact number +49 40 428 75-8705. Prof. Grätsch specializes in computational mechanics with a focus on the Finite Element Method (FEM) and its applications in vibroacoustics. His research particularly addresses noise emission from wind turbines, structural vibration analysis, and mechanical system simulations. He has developed sophisticated models for predicting and reducing tonal noise in wind energy systems, with emphasis on gearbox vibrations and acoustic radiation from large structures. His publication record shows a consistent research trajectory focused on wind turbine noise simulation, with recent work (2018-2022) concentrating on hybrid multistep procedures, large-scale finite element modeling, and practical applications for noise reduction in wind energy systems. His work bridges theoretical computational methods with practical engineering applications in renewable energy technology. Prof. Grätsch holds several administrative roles including Program Coordinator for the Master's program 'Calculation and Simulation in Mechanical Engineering', Spokesperson for the Mechanics Group, Member of the Department Council for Mechanical Engineering and Production, and Deputy Member of the Confidence Committee of the Faculty of Technology and Computer Science. He is also a Member of the Editorial Board of Computers & Structures. His research projects focus on vibroacoustics, particularly addressing noise emission from wind turbines through computational simulation and structural analysis. His work has practical implications for the wind energy industry seeking to reduce environmental noise pollution while maintaining energy production efficiency.

• Finite Element Method
• Vibroacoustics
• Mechanical Engineering
• +3 more

Felix Schneider is a Researcher at the Chair of Structural Mechanics at Technical University of Munich since 2018. He holds an M.Sc. in Civil Engineering from TU Munich (2018) and completed a semester abroad at the Norwegian University of Science and Technology. His research focuses on uncertainty analysis in structural and acoustic models, Bayesian updating techniques, and stochastic reduction methods in the frequency domain. He has contributed to advancements in rational polynomial chaos expansions and sparse Bayesian learning for structural dynamics applications. Education: 2011-2018: Study of Civil Engineering at Technical University of Munich 2018: Master of Science (M.Sc.) in Civil Engineering 2016: Semester abroad at Norwegian University of Science and Technology 2009: Abitur at Humboldtgymnasium Solingen Research emphasizes computational methods for structural dynamics, including: Bayesian parameter estimation for linear systems Rational surrogate models for uncertainty quantification Frequency-domain stochastic reduction techniques Applications in seismic risk assessment and vibroacoustic simulations Key contributions include a Maurer Söhne Prize for his Master's thesis and a published MATLAB toolbox for rational polynomial chaos expansions on the LRZ Git repository. Teaching responsibilities include courses on random vibrations, structural dynamics, and continuum mechanics. He has participated in research stays at ETH Zurich (2023) and collaborates with international institutions on uncertainty quantification projects.

• Structural Dynamics
• Uncertainty Quantification
• Bayesian Methods
• +3 more

Tao Yang is a Marie Skłodowska-Curie Postdoctoral Fellow at the Chair of Vibroacoustics of Vehicles and Machines, Technical University of Munich (TUM School of Engineering and Design, Department of Engineering Physics and Computation). His research addresses urban noise pollution through innovative textile-based metamaterials for broadband low-frequency sound absorption, targeting the critical Research focuses on integrating acoustic and textile disciplines to overcome limitations of current metamaterials (narrowband absorption) and traditional absorbers (impractical size requirements). Key interests include acoustic metamaterial design, fibrous material characterization, and numerical simulation techniques for sound absorption optimization in polyester-based nonwovens and fiber assemblies. Publications from 2018-2020 demonstrate consistent expertise in experimental and computational analysis of porous materials, with emphasis on homogeneity assessment, airflow resistivity modeling, and multi-component fiber systems for noise control applications. Scientific recognition: Marie Skłodowska-Curie Postdoctoral Fellowship Dr. Yang serves as assistant lecturer for "Numerical Acoustics in Python" at TUM (Summer term 2025). His fellowship-funded project emphasizes two-way knowledge transfer through training and presentations, enhancing both technological innovation in noise reduction and professional development.

• Acoustic Metamaterials
• Sound Absorption
• Numerical Acoustics
• +2 more

Dr. Marcus Mäder is a Researcher at the Chair of Vibroacoustics of Vehicles and Machines within the Department of Engineering Physics and Computation at the Technical University of Munich . He specializes in aeroacoustics, numerical mechanics, and machine learning applications in acoustics, with a focus on source identification, acoustic metamaterials, and uncertainty quantification. His work bridges experimental and computational approaches in vibroacoustics. Research Topics: Aeroacoustics Acoustic Metamaterials Machine Learning in Engineering Experimental Vibroacoustics Uncertainty Quantification Fluid-Structure Interaction Recent Publications highlight advancements in neural network-driven object classification, energy harvesting from coupled systems, and physics-informed modeling for acoustic boundary conditions. His collaborations span interdisciplinary projects in automotive noise reduction, structural dynamics, and metamaterial design. Teaching Contributions: Experimental Vibroacoustics Machine Learning in Computational Engineering Mechanics Industrial Applications of Vibroacoustics

• Aeroacoustics
• Numerical Mechanics
• Room Acoustics
• +4 more

Christopher Sittl is a Researcher at the Chair of Vibroacoustics of Vehicles and Machines within the Department of Engineering Physics and Computation at the TUM School of Engineering and Design, Technical University of Munich. Pursuing an External PhD, his work focuses on developing efficient computational methods for acoustic optimization in automotive applications. His research interests span computational acoustics, vehicle noise control, and advanced numerical methods: Computational Acoustics Vehicle Acoustics and Noise Optimization Boundary Element Method applications Finite Element Method for vibroacoustic problems Matrix-Padé-via-Lanczos Method implementation Sound quality engineering for automotive powertrains Sittl's research addresses the computational challenge of solving large linear systems in acoustic scattering tasks, moving beyond traditional frequency-by-frequency approaches to develop more efficient Padé-approximation methods applicable across frequency ranges. His work bridges theoretical numerical methods with practical automotive engineering needs, particularly in creating customer-pleasant noise profiles rather than merely minimizing sound pressure levels. His primary publication demonstrates application of Krylov subspace methods for efficient acoustic transfer function solutions. Collaborating with Ostbayerische Technische Hochschule Regensburg, Otto von Guericke University of Magdeburg, and CHP Messtechnik GmbH, his research contributes to the department's focus on computational vibroacoustics and automotive noise control.

• Computational Acoustics
• Vehicle Acoustics
• Boundary Element Method
• +6 more

Arne Hildenbrand, M.Sc., serves as a Research Associate at the Chair of Vibro-Acoustics of Vehicles and Machines led by Prof. Dr.-Ing. Steffen Marburg at the Technical University of Munich (TUM). He is affiliated with the TUM School of Engineering and Design within the Department of Engineering Physics and Computation. His research focuses on uncertainty quantification and Bayesian/variational inference methods, data-driven deep learning approaches, and Galerkin methods for computational acoustics. His work spans automotive vibroacoustics, particularly in developing variational autoencoder models for dimensionality reduction and admittance response modeling of car bodies. Hildenbrand teaches several courses including Computational Acoustics, Numerical Acoustics in Python, Vibroacoustic Finite Element Simulations in Virtual Prototyping, and Machine Learning in Computational Engineering Mechanics. These courses emphasize practical implementation of numerical methods for acoustic analysis using Python programming. His scientific work demonstrates a strong trend toward integrating machine learning techniques with traditional computational acoustics methods, particularly focusing on variational autoencoders for dimensionality reduction in automotive vibroacoustic applications. The research bridges theoretical acoustics with practical automotive engineering challenges. Hildenbrand collaborates with researchers including Steffen Marburg, Mert Dogu, and Michael Buba on various teaching and research activities within the vibroacoustics laboratory at TUM.

• Uncertainty Quantification
• Bayesian Inference
• Variational Inference
• +5 more

Yang Tao, Ph.D. , a Marie Skłodowska-Curie Postdoctoral Fellow at the Technical University of Munich (TUM), works at the Chair of Acoustics of Mobile Systems under Prof. Steffen Marburg. His research focuses on developing textile-based metamaterials for low-frequency noise absorption, bridging acoustics, material engineering, and computational modeling. Acoustic metamaterials Fibrous material characterization Numerical acoustics Multi-functional textiles Recent publications highlight his expertise in Johnson-Champoux-Allard-Lafarge models for fibrous materials, acoustic bound states, and modular multilayer systems. Yang's work addresses urban noise challenges through scalable textile manufacturing techniques. Scientific awards include the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship . His research integrates experimental and computational approaches to advance sound absorption and material design.

• Acoustic Metamaterials
• Fibrous Materials for Sound Absorption
• Numerical Acoustics
• +3 more

Johannes Schmid, M.Sc., is a Research Associate at the Chair of Vibroacoustics of Vehicles and Machines at the Technical University of Munich . His work focuses on integrating machine learning with computational acoustics, particularly in physics-informed deep learning and uncertainty quantification for vibroacoustic systems. Research Interests Physics-informed deep learning for acoustic modeling Data-driven surrogate modeling for dynamic systems Uncertainty quantification in industrial applications Stochastic Finite Element Methods Interactive acoustics apps for education Publications Schmid has authored/co-authored over 15 publications in computational acoustics, with recent work on neural networks for boundary integral methods, metamaterial design, and hybrid machine learning techniques. His research spans automotive applications, noise control, and educational tools. Laboratory Affiliation He is affiliated with the Chair of Vibroacoustics of Vehicles and Machines , contributing to projects on vehicle acoustics, fluid-structure interaction, and deep learning applications in engineering.

• Physics-informed deep learning
• Data-driven surrogate modeling
• Uncertainty quantification
• +11 more

Mert Dogu, M.Sc., is a Research Associate at the Chair of Vibroacoustics of Vehicles and Machines at the Technical University of Munich (TUM School of Engineering and Design, Department of Engineering Physics and Computation). His work focuses on deep learning in acoustics, active vibration control using piezoelectric properties, computational vibro-acoustics, and finite/boundary element methods. Recent research includes interactive acoustics apps for education and active vibration control with integrated piezoelectrics. He contributes to teaching courses such as Computational Acoustics and Numerical Acoustics in Python , emphasizing practical and computational aspects of technical acoustics. His collaborations with Steffen Marburg and colleagues highlight interdisciplinary applications in vehicle acoustics , fluid-structure interaction , and modeling uncertainty . Details about grants, advisors, and awards are not explicitly mentioned in the text.

• Deep Learning in Acoustics
• Active Vibration Control
• Computational Vibro-Acoustics
• +3 more

Dr. phil. Monika Gatt is a Researcher at the Chair of Vibroacoustics of Vehicles and Machines (Technical University of Munich, TUM School of Engineering and Design). She focuses on interdisciplinary research bridging Philosophy and Acoustics , particularly in Ethics , Phenomenology , and the Philosophical Basis of Acoustics . She co-founded the working group Akuphil to explore ethical and philosophical questions in acoustics. Education: Doctorate in Philosophy, Jesuit School of Philosophy, Munich (2009) Logics and Philosophy of Science, Ludwig-Maximilian-University, Munich Research Trends: Her work uniquely merges Philosophy of Nature , Ethics for Engineers , and Philosophical Foundations of Acoustics . Recent articles emphasize Ethics in AI , Human-Acoustic Interaction , and Interdisciplinary Methodologies connecting metaphysics with vibroacoustic modeling. Scientific Awards: Erasmus+ Scholarship (2018, 2020) Teaching: Since 2010, she has taught Philosophy at the University of the Federal Armed Forces in Munich, Helmut-Schmidt-University (2011–2014), and TUM. Current courses include Ethics in AI (University of Applied Sciences Ingolstadt, 2020/21) and ethics-related lectures at TUM. Labs & Teams: Collaborates with the Chair of Vibroacoustics and co-founded Akuphil , an interdisciplinary working group for philosophical and ethical issues in acoustics.

• Ethics
• Phenomenology
• Philosophy of Nature
• +3 more

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.

• Boundary Element Method
• Viscothermal Acoustics
• Acoustic Metamaterials
• +5 more

Dr.-Ing. Ahmed Mostafa Shaaban is a DFG Postdoctoral Fellow at the Technical University of Munich (TUM) within the TUM School of Engineering and Design. He works in the Department of Engineering Physics and Computation under the Chair of Vibroacoustics of Vehicles and Machines led by Prof. Steffen Marburg. Affiliation: Technical University of Munich Research Focus: Computational Mechanics, Acoustic Metamaterials, Boundary Element Method, Isogeometric Analysis His research develops advanced computational methodologies for acoustic metamaterials, combining isogeometric analysis and deep learning to address real-world vibroacoustic challenges. He investigates these materials as coupled acoustic-structural systems with full 3D geometries and thermoviscous losses, while applying deep neural networks for uncertainty quantification and high-frequency dynamic analysis. Recent publications demonstrate expertise in boundary element methods, isogeometric analysis, and thermoviscous/acoustic metamaterials. Current projects include numerical acoustics teaching activities in Python programming environments. Scientific Awards: DFG Postdoctoral Fellowship He contributes to academic research through publications in leading journals like Computer Methods in Applied Mechanics and Engineering , and participates in conferences such as DAGA 2024. His work bridges advanced computational techniques with practical applications in vehicle and machine acoustics.

• Computational Mechanics
• Boundary Element Method
• Isogeometric Analysis
• +3 more