Éric Moulines
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Éric Moulines (born in Bordeaux on 24 January 1963) is a French researcher in statistical learning and signal processing. He received the silver medal from the CNRS in 2010,[1] and was appointed a Fellow of the European Association for Signal Processing in 2012[2] and of the Institute of Mathematical Statistics in 2016,[3] and was elected a member of the French Academy of Sciences in 2017.[4] He is General Engineer of the Corps des Mines (X81).[5]
Éric Moulines entered the École polytechnique in 1981, then went to study at Télécom ParisTech.
He began his career at the Centre national d'études des télécommunications where he worked on speech synthesis from text. He is involved in the development of new waveform synthesis methods called PSOLA (pitch synchronous overlap and add).[6]
After defending his thesis in 1990,[7] he joined the École Nationale Supérieure des Télécommunications (now Télécom ParisTech).[1] He then became interested in different problems of statistical signal processing. In particular, it contributes to the development of subspaces methods for the identification of multivariate linear systems[8] and source separation[9] and develops new algorithms for adaptive system estimation.
He became a full professor at Télécom ParisTech in 1996.[1] He received his Habilitation à diriger des recherches (authorisation to direct research) in 2006.[10] He then devoted himself mainly to the application of Bayesian methods with applications in signal processing and statistics. In 2025 he joined the faculty of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi.[11]
Éric Moulines directed 21 theses, was president of the jury for 9 theses, was rapporteur for 10 theses, was member of the jury for 6 theses.[12]
