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Recommended citation: Pelling, A.J.R. and Sarradj, E. (2021) “Efficient Forced Response Computations of Acoustical Systems with a State-Space Approach,” Acoustics, 3(3), pp. 581–593. Available at: https://doi.org/10.3390/acoustics3030037.
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Noise prediction from the measured surface-vibration of a casing structure by using compressed sensing and finite element method

Published in Applied Acoustics, 2023

A compressed sensing method for noise prediction in an industrial application in cooperation with Rolls-Royce Deutschland.

Recommended citation: Mustafi, P. et al. (2023) “Noise prediction from the measured surface-vibration of a casing structure by using compressed sensing and finite element method,” Applied Acoustics, 211, p. 109527. Available at: https://doi.org/10.1016/j.apacoust.2023.109527.
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A Framework for Generating Large-Scale Microphone Array Data for Machine Learning

Published in Multimedia Tools and Applications, 2023

AcouPipe: A machine learning extension for Acoular.

Recommended citation: Kujawski, A. et al. (2023) “A framework for generating large-scale microphone array data for machine learning,” Multimedia Tools and Applications. Available at: https://doi.org/10.1007/s11042-023-16947-w.
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Snapshot-driven Rational Interpolation of Parametric Systems

Published in arXiv, 2024

Rational interpolation of parametric systems from non-parametric snapshot realizations.

Recommended citation: Pelling, A.J.R. et al. (2024) “Snapshot-driven Rational Interpolation of Parametric Systems.” arXiv. Available at: https://doi.org/10.48550/arXiv.2406.01236.
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MIRACLE — A Microphone Array Impulse Response Dataset for Acoustic Learning

Published in EURASIP Journal on Audio, Speech, and Music Processing, 2024

A comprehensive dataset of anechoic impulse responses.

Recommended citation: Kujawski, A., Pelling, A.J.R. and Sarradj, E. (2024) “MIRACLE—a microphone array impulse response dataset for acoustic learning,” EURASIP Journal on Audio, Speech, and Music Processing, 2024(1), p. 32. Available at: https://doi.org/10.1186/s13636-024-00352-8.
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Towards an Efficient Shifted Cholesky QR for Applications in Model Order Reduction using pyMOR

Published in arXiv, 2025

Modifications of the shifted Cholesky QR Algorithm and efficient implementation im pyMOR.

Recommended citation: Bindhak, M., Pelling, A.J.R. and Saak, J. (2025) “Towards an Efficient Shifted Cholesky QR for Applications in Model Order Reduction using pyMOR.” arXiv. Available at: https://doi.org/10.48550/arXiv.2507.07788.
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SRIRACHA: Shoebox Room Impulse Response Archive with Varying Absorption

Published in TU Berlin depositonce, 2025

A comprehensive dataset of room impulse responses extending the MIRACLE dataset.

Recommended citation: Pelling, A.J.R., Kujawski, A. and Sarradj, E. (2025) “SRIRACHA: Shoebox Room Impulse Response Archive with Varying Absorption.” Available at: https://depositonce.tu-berlin.de/handle/11303/25123 (Accessed: October 30, 2025).
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Adaptive reduced order modelling of acoustic LTI systems with input–output dead time

Published in Mechanical Systems and Signal Processing, 2025

A randomized and adaptive modifcation of Eigensystem Realization Algorithm and a dead time extraction method for acoustical systems.

Recommended citation: Pelling, A.J.R. and Sarradj, E. (2026) “Adaptive reduced order modelling of acoustic LTI systems with input–output dead time,” Mechanical Systems and Signal Processing, 242, p. 113613. Available at: https://doi.org/10.1016/j.ymssp.2025.113613.
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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.

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