Subject of thesis, defended in 2023 : Unsupervised separation of actuator signatures from non-intrusive sensors in industrial processes. Applications to the energy sustainability of heterogeneous systems.

Post-doctoral project aimed at developing approaches combining deflectometry and computer vision techniques for vibration metrology, and modal analysis in particular. The aim of this work is twofold : to improve the accuracy and robustness of deformation measurements of complex structures, on the one hand by proposing a new measurement process, and on the other hand by quantifying the uncertainties associated with the proposed method.