Avatar

Éric Bavu

Full Professor

LMSSC

Cnam Paris

I am a full professor since 2023 (former senior lecturer since 2009) at Cnam Paris, in the acoustics team of the Laboratoire de Mécanique des Structures et des Systèmes Couplés .

To date, I have officially co-supervised 8 PhD students (4 defended, 4 in progress). I lead the ANR Deeplomatics project 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.

Interests

  • Inverse problems in time domain
  • Deep Learning applied to acoustics
  • Source localization
  • Reverberant and noisy environments
  • 3D Audio
  • Transient elastography (post-doc)

Education

  • 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)