Snapshot-driven Rational Interpolation of Parametric Systems
Pelling, A.J.R. et al. (2026) “Snapshot-driven Rational Interpolation of Parametric Systems.” Automatica. Available at: https://doi.org/10.1016/j.automatica.2026.113023.
CV
Education
- M.Sc. in Mathematics, TU Berlin, 2021
- B.Sc. in Mathematics, TU Berlin, 2018
Work experience
- July 2025: Research Assistant
- Department of Engineering Acoustics, TU Berlin
- DFG Project: Acoular: accessible and reproducible sound localization in Python
- Supervisor: Ennes Sarradj
- November 2021: Research Assistant
- Department of Engineering Acoustics, TU Berlin
- DFG Project: Reduced order modelling of acoustical systems based on measurement data, Final Report (German)
- Supervisor: Ennes Sarradj
- May 2021: Research Assistant
- Department of Engineering Acoustics, TU Berlin
- Duties included: Data-driven “model updating” of FEM simulations of coupled fluid-structure systems
- Supervisor: Ennes Sarradj
Skills
- Numerical Linear Algebra
- Acoustics
- Python
Publications
Adaptive reduced order modelling of acoustic LTI systems with input–output dead time
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.
SRIRACHA: Shoebox Room Impulse Response Archive with Varying Absorption
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).
Towards an Efficient Shifted Cholesky QR for Applications in Model Order Reduction using pyMOR
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.
MIRACLE — A Microphone Array Impulse Response Dataset for Acoustic Learning
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.
A Framework for Generating Large-Scale Microphone Array Data for Machine Learning
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.
Noise prediction from the measured surface-vibration of a casing structure by using compressed sensing and finite element method
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.
Efficient Forced Response Computations of Acoustical Systems with a State-Space Approach
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.
Conference Contributions
Getting Started with Acoular
tutorial at DAS-DAGA 2025 - 51. Jahrestagung für Akustik, Copenhagen, Denmark
Data-driven Methods: Theory and Practice
tutorial at pyMOR School 2024, Münster, Germany
Reduzierte Modellierung akustischer Systeme auf Basis von Messdaten Permalink
conference at DAGA 2024 - 50. Jahrestagung für Akustik, Hannover, Germany
Data-driven and Low-rank Implementations of the Generalized Singular Perturbation Algorithm Permalink
conference at Young Mathematicians in Model Order Reduction (YMMOR24), Stuttgart, Germany
Data-driven Methods: Theory and Practice
tutorial at pyMOR School 2023, Berlin, Germany
Data-driven Balancing for Acoustical Systems Permalink
invited at Minisymposium: Physics-based and Data-driven Modeling for Digital Twins, 10th International Congress on Industrial and Applied Mathematics 2023 (ICIAM), Tokyo, Japan
System Identification with pyMOR Permalink
tutorial at SIAM Conference on Computational Science and Engineering 2023 (CSE23), Amsterdam, Netherlands
Data-driven Balancing for Acoustical Systems Permalink
invited at Minisymposium: Optimization-based and Data-driven Reduced-order Modeling of Structured Dynamical Systems, SIAM Conference on Computational Science and Engineering 2023 (CSE23), Amsterdam, Netherlands
Reduced Order Modelling for Acoustical Systems
conference at Young Mathematicians in Model Order Reduction (YMMOR22), Münster, Germany
Introduction to Systems Theory and Model Order Reduction
tutorial at Young Mathematicians in Model Order Reduction (YMMOR22), Münster, Germany
Data-driven MOR Methods
tutorial at pyMOR School 2022, Magdeburg, Germany