My research takes place at the MACS laboratory of Le Cnam. It lies at the crossroads of structural dynamics, acoustics and signal processing, with a strong focus on methods that can be used on real measured data.
Theme 1
Inverse problems
How can we recover the forces acting on a structure from a limited number of noisy vibration measurements? I work on Bayesian methods — Bayesian inference, Bayesian regularization filtering and Gaussian processes — in time and frequency domains for source identification in structural dynamics.
- Source identification
- Bayesian inference
- Bayesian filtering
- Regularization
- Gaussian processes
Theme 2
Vibration control
Reducing vibration levels and radiated noise in mechanical systems, by designing passive treatments and active control strategies.
- Active control
- Passive damping
- Structural dynamics
Theme 3
Vibro-acoustic modeling
Building models that predict how structures vibrate and radiate sound, and how they interact with surrounding fluids. This is the basis for both identification and control.
- Vibro-acoustics
- Modal analysis
- Numerical methods
Tools
Open science
Most of the methods I develop are released as open-source software, so that results can be reproduced and reused in teaching.