Détermination de Formes et Identification
Equipe-projet commune avec l'INRIA Saclay-Ile de France.
Responsable : Houssem Haddar, Directeur de Recherche INRIA.
Laurent Bourgeois (POEMS/ENSTA)
Antonin Chambolle, Directeur de Recherche CNRS
Lorenzo Audibert (EDF R&D)
Thi Phong Nguyen
The research activity of our team is dedicated to the design, analysis and implementation of efficient numerical methods to solve inverse and shape/topological optimization problems in connection with acoustics, electromagnetism, elastodynamics, and diffusion.
Sought practical applications include radar and sonar applications, bio-medical imaging techniques, non-destructive testing, structural design, composite materials, and diffusion magnetic resonance imaging.
Roughly speaking, the model problem consists in determining information on, or optimizing the geometry (topology) and the physical properties of unknown targets from given constraints or measurements, for instance, measurements of diffracted waves or induced magnetic fields.
In general this kind of problems is non-linear. The inverse ones are also severely ill-posed and therefore require special attention from regularization point of view, and non-trivial adaptations of classical optimization methods.
Our scientific research interests are three-fold :
Theoretical understanding and analysis of the forward and inverse mathematical models, including in particular the development of simplified models for adequate asymptotic configurations.
The design of efficient numerical optimization/inversion methods which are quick and robust with respect to noise. Special attention will be paid to algorithms capable of treating large scale problems (e.g. 3-D problems) and/or suited for real-time imaging.
Development of prototype softwares for precise applications or tutorial toolboxes.