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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. Wolfgang Nejdl is a Professor at the Institute for Data Science within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover. He serves as Executive Director of the L3S Research Centre and Leibniz Forschungszentrum Inclusive Citizenship. Web Science Information Retrieval Artificial Intelligence Deep Learning His recent research focuses on AI applications in medicine , multimodal data fusion , and ethical AI systems . Projects include CAIMed (AI in Causal Medicine) and DAISEC (AI & Cybersecurity). His publications span conferences like AAMAS, WWW, and SIGIR. Notable awards include membership in the National Academy of Science and Engineering (acatech) . Former students hold positions at institutions like Stanford, TU Dresden, and ETH Zürich. Current projects involve climate resilience AI , federated learning for healthcare , and quantum-inspired data science .

• Web Science
• Information Retrieval
• Artificial Intelligence
• +4 more

Prof. Dr.-Ing. Sabine C. Langer is a Full Professor of Acoustics and Director of the Institute of Acoustics at Technische Universität Braunschweig. She holds a PhD in Engineering and has extensive experience in academia, including leadership roles such as President of the Deutsche Gesellschaft für Akustik (DEGA) and Deputy Speaker of the DFG Collaborative Research Center 880 (SFB 880). Her research focuses on acoustics, numerical modeling, aircraft noise reduction, and innovative materials for sound absorption. She has pioneered studies on acoustic black holes, metamaterials, and AI-driven design optimization. Langer’s work also includes contributions to educational platforms, such as developing MATLAB-based sound quality analysis tools and online learning resources for engineering students. Education: Civil Engineering degree (1991–1996, TU Braunschweig), PhD in Engineering (2001, TU Braunschweig). Key positions include W2 Professor for Vibroacoustics (2013–2018) and Junior Professor for Wave Propagation and Building Acoustics (2003–2013). She led the Graduate School at SFB 880 and advised numerous research initiatives in structural acoustics and noise mitigation. Research interests span numerical acoustics, sound quality assessment, and sustainable acoustic design. Her recent work emphasizes AI integration in engineering design, stochastic modeling, and additive manufacturing of acoustic materials. She has published extensively on aircraft cabin noise prediction, vibration isolation, and metamaterial applications. Professional roles include membership in the DIN/VDI Normenausschuss Akustik and the Advisory Board of the Excellence Cluster Hearing4All. She has organized major acoustics conferences, including DAGA 2020 in Hannover, and contributed to standard-setting in noise reduction and vibration technology.

• Acoustics
• Modeling and Simulation
• Numerical Acoustics
• +7 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

Prof. Bodo Fiedler is the Head of the Institute of Polymers and Composites at Hamburg University of Technology (TUHH) since 2013. He holds a doctoral degree (1998) and post-doctoral habilitation (2008) in mechanical engineering, focusing on fiber-reinforced composites. His career spans academia and industry, including roles as head of production technology at RUAG Aerospace and executive board member at Bionic Composite Technologies AG. Education: Studied mechanical engineering at TUHH, with a thesis on crack growth in metal fiber-reinforced ceramics. Conducted post-doctoral research at Kyoto University and the Weizmann Institute. Research Interests: Focuses on composite materials, polymer degradation, structural health monitoring, and sustainable materials. Leads projects on thermoset aging, bio-based composites, and advanced manufacturing techniques. Current Projects: Includes DFG-funded initiatives on hydrogen transport systems (HY-FIT LH2), bioelectrochemical reactors (BioElectroFlow), and functional electrode structures (CRC 1615). Collaborates on EU-funded projects involving composites for aerospace and industrial applications. Expertise: Editor of CEAS Aeronautical Journal, member of ESCM, and advisor to DFG, BMBF, and international journals. Over 200 publications in materials science, composites, and engineering.

• Polymer Engineering
• Composite Materials
• Structural Health Monitoring
• +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

Markus Mörwald serves as a Research Fellow at the Technical University of Munich within the Chair of Vibroacoustics of Vehicles and Machines under Prof. Steffen Marburg. He operates in the Department of Engineering Physics and Computation within the School of Engineering and Design, focusing on computational engineering applications. His research integrates Machine Learning and Deep Learning methodologies with vibroacoustic challenges, specializing in Uncertainty Quantification for predictive modeling and Building Acoustics solutions for timber construction noise insulation. This work bridges theoretical computational mechanics with industrial applications in vehicle acoustics and sustainable building design. Mörwald actively contributes to academic instruction as a lecturer assistant for “Machine Learning in Computational Engineering Mechanics” (Summer Term 2025), collaborating with the Federal Institute for Research on Building, Urban Affairs and Spatial Development on real-world vibroacoustic projects.

• Vibroacoustics
• Machine Learning
• Deep Learning
• +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

Arun Arjunan is a Professor in Research at the University of Wolverhampton, Faculty of Science and Engineering, School of Engineering. He serves as the Director of the Centre for Engineering Innovation and Research (CEIR) and leads the Additive Manufacturing of Functional Materials (AMFM) research group. His academic journey at the university includes roles as Reader, Senior Lecturer, Lecturer, and Course Leader in Mechanical Engineering. He holds a PhD from the University of Wolverhampton and is a Senior Fellow of the Higher Education Academy (SFHEA). His research focuses on additive manufacturing of advanced functional materials, particularly metamaterials with unique mechanical, acoustic, and biological properties. Key areas include auxetic and meta-biomaterials for biomedical implants and tissue engineering, infection-resistant 3D printed materials, and acoustic metamaterials for noise cancellation (e.g., Herschel Quincke-Arjunan waveguides). The recent publications highlight a strong trend in sustainable and biomedical applications of 3D printing, including personalized implants, water purification using bio-based materials, and environmentally responsible manufacturing. His work bridges engineering innovation with real-world challenges in healthcare and sustainability. GKN Award (2011) Senior Fellowship of the Higher Education Academy (2015) Vice Chancellor’s Award for Outstanding Contribution to Research (2020) UK Engineering Innovation Award (2021) THE ENGINEER UK Collaborate to Innovate Finalist (2021) Nominated for Blavatnik Awards (2019, 2020) Arun actively supervises PhD students and has secured substantial research funding from Innovate UK, the UK Department of Transport, the European Union, and industrial partners. He plays a key role in national and international standards development as a member of the BSI AMT/8 committee and contributes to ISO/TC 261 and CEN/TC 438. He has served as an external examiner for the University of Greenwich and as a reviewer for UK Research Councils. He leads the AMFM research group and CEIR, both of which foster interdisciplinary collaboration among academic staff, post-docs, technicians, and PhD researchers, focusing on cutting-edge engineering solutions for industrial and societal challenges.

• Additive Manufacturing
• Metamaterials
• Auxetic Materials
• +12 more