معرفی
Roland Badeau is a Full Professor at Télécom Paris (part of Institut Polytechnique de Paris) within the Signal, Statistics and Learning (S2A) team of the Image, Data, Signal (IDS) Department. His work focuses on statistical modeling of non-stationary signals, particularly in audio and music processing, with applications including source separation, denoising, dereverberation, and automatic music transcription. He has authored over 30 journal papers, 130 conference papers, 4 patents, and a book chapter.
- Education: Habilitation à Diriger des Recherches (2010), PhD in Signal Processing (2005) from Télécom Paris
- Research Themes: Stochastic reverberation models, time-frequency analysis, probabilistic latent variable models, audio coding, and biomedical data applications
- Teaching: Applied Mathematics and Signal Processing at Télécom Paris; Music Signal Processing at Sorbonne Université; Audio-Frequency Analysis at ENS Paris-Saclay
- Awards: Featured in Stanford's Top 2% Researchers (2024); contributed to a best student paper award at ICASSP 2020
- Responsibilities: Supervision of doctoral theses, teaching units, and academic programs like TSIA and Master ATIAM
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