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Thomas Dietzen is an Assistant Professor in the Department of Engineering Technology at KU Leuven, specializing in audio and speech processing. His research interests encompass various aspects of acoustic signal processing, including sound source localization, multi-channel processing, and the dynamics of underwater soundscapes. He has been involved in multiple notable projects, such as the UNWARP initiative for modeling processing, and he plays a key role in various PhD research positions focused on advanced acoustic techniques. Throughout his academic career, Dietzen has contributed to numerous publications in leading journals and conferences, focusing on techniques for improving audio analysis and understanding. His engagement with the academic community is exemplified through his active participation in conferences and collaborative projects aimed at pushing the boundaries of audio engineering. Dietzen's work frequently intersects with machine learning, deep learning methodologies, and innovative solutions for real-world audio processing challenges.
KU Leuven • Sint-Katelijne-Waver
Engaged in teaching and research in audio and speech processing.
Master of Engineering: Computer Science. Admission is at the discretion of the Faculty of Engineering Science.