Accredited to Supervise Research
Laboratoire de Mécanique des Structures et des Systèmes Couplés
I am a lecturer at Cnam Paris since September 2009, in the acoustics team of the Laboratoire de Mécanique des Structures et des Systèmes Couplés .
To date, I have officially co-supervised PhD students (4 defended, 2 in progress since December 2021), and I am leading since early 2019 the ANR Deeplomatics until June 2022.
I defended my accreditation to supervise research (HDR) in December 2019. My habilitation thesis has been deposited on HAL , and I leave available a chaptered video of the defense as well as the slides in html.
My research activities are focused on inverse problems in acoustics, signal processing associated with microphonic arrays, and Deep Learning methods for acoustics.
Accreditation to Supervise Research, Acoustics, 2019
Conservatoire National des Arts et Métiers (FR)
PhD thesis in Mechanical Engineering, Acoustics Specialty, 2008
Cotutelle University of Sherbrooke (Qc, CA) and University Paris 6 Pierre et Marie Curie (FR)
Master in Acoustics, Signal Processing and Computer Science (ATIAM), 2005
Pierre et Marie Curie University (FR)
Teacher training degree (french Agregation) Physics, 2004
École Normale Supérieure de Cachan (FR)
Bachelor and Master of Fundamental Physics, 2002-2003
École Normale Supérieure de Cachan / Université d'Orsay (FR)
Realtime Identification and geolocalization of flying drones.
Improving speech intelligibility recorded by in-the-ear transducers
Research activities focused on microphonic array signal processing, inverse problems in the time domaine in acoustics, deconfinement, moving source localization, and the use of Deep Learning in acoustics for source localization and sound source recognition.
Courses in acoustics and signal processing for initial training, apprenticeship diplomas, and Cnam engineering courses in evening classes, in-class and distance learning. Students from Bac+1 to Bac+5.
Ongoing contracts and supervised PhDs