Egke Chatzimoustafa, M. Sc.
Scientist
Room: 311
+49 241 80-26976
+49 241 80-22254
chatzimoustafa(at)iks.rwth-aachen.de
Research
- Automatic enhancement and alteration of spatial sound for multimedia and communication applications
- Improvement of Higher Order Ambisonics signals
- Signal processing, signal analysis, acoustics, measurement technology, and machine learning
Teaching
- Laboratory Communications Engineering
- Exercise Machine Learning for Speech and Audio Processing
- Laboratory MATLAB meets LEGO Mindstorms
- Seminar Selected Topics in Communications Engineering
Studentische Arbeiten
Veröffentlichungen
Chatzimoustafa, E. and Jax, P.: Frequency-Independent Ambisonics Upscaling using Deep Learning, in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, 2026, accepted for publication
Chatzimoustafa, E. and Jax, P.: Higher-Order Ambisonics Upscaling using Gated Recurrent Units, in Proceedings of European Signal Processing Conference (EUSIPCO), pp. 171-175, Sep. 2025, ISBN: 978-9-46459-362-4, 10.23919/EUSIPCO63237.2025.11226429
Chatzimoustafa, E., Heck, J., Patek , D. and Jax, P.: A Comprehensive Room Impulse Response Database for Spatial Audio, in Proceedings of German Annual Conference on Acoustics (DAGA), pp. 1161-1164, Mar. 2025, ISBN: 978-3-93929-623-2, 10.71568/dasdaga2025.377
Hilgemann, F., Chatzimoustafa, E. and Jax, P.: Data-Driven Uncertainty Modeling for Robust Feedback Active Noise Control in Headphones, in Journal of the Audio Engineering Society, Vol. 72, No. 12, pp. 873-883, Dec. 2024, ISSN: 1549-4950, 10.17743/jaes.2022.0185