Maureen Clerc




Current position


  • Research Director at INRIA
  • Vice-deputy for research at INRIA Sophia Antipolis-Méditerranée
  • Member of Athena Project-Team

Research interests

I am currently interested in

This leads me to study :

Inverse problems...

Estimating information from partial measurements, while using as much a priori information as available.
  • Estimating Deformations of Stationary Processes
  • Source Regularization for the MEEG inverse problem

Signal processing with wavelets...

Using time-frequency or space-scale representations to uncover hidden information from signals or images.
  • Solving Shape from Texture in monocular images
  • Single-trial biosignal analysis with Consensus Matching Pursuit

Numerical simulation...

Modeling relevant physical phenomena and simulating them with as much accuracy as possible, with an emphasis on model calibration.
  • The Symmetric Boundary Element Method for electrostatics, and the Fast Multipole Method
  • Conductivity sensitivity analysis and calibration
  • An opensource library of forward and inverse problems for bioelectromagnetism: OpenMEEG

Biographical note


"Maureen Clerc is research director at Inria in Sophia Antipolis, France. She obtained a PhD in 1999 from Ecole Polytechnique and the "Habilitation à Diriger des Recherches" from the University of Nice Sophia Antipolis in 2007. Her research combines mathematics and computer science to extract dynamic information from the living human brain. The bioelectrical phenomena which she studies are electro- and magneto-encephalography, functional electrical stimulation, especially cochlear implants. This interdisciplinary research is performed in close interaction with clinical partners from Marseille and Nice University hospitals. A strong believer in reproducible research, she contributes to collaborative opensource software platforms (OpenMEEG and OpenViBE). In 2014, she has been awarded with the Pierre Faurre prize by the French Academy of Science."




Download resume in English / in French.

Research and activities
Research fields
Signal processing