ETH Zürich - SMM group seminar

March 20, 2026

I had the pleasure to give a seminar at ETH Zürich in Prof. Chatzi’s Structural Mechanics and monitoring group. It involved our latest published work on Bayesian fusion methods for robust degradation prognostics. The seminar followed very interesting exchanges and research directions with different attendees from the department. More details about the seminar can be found on the following webpage, slides are available here as well as the video below:

PhD defense

February 9, 2026

I have defended my PhD at ENS Paris-Saclay on February 9th 2026, carried out in partnership with EDF R&D, the Centre Borelli and the LISN. My thesis, Hybrid prognostics using simulation codes and statistical models - Application to the study of steam generators clogging, dealt with developing hybrid frameworks to support uncertainty-aware digital twins of complex nuclear power plant systems to support maintenance planning.

Kalman filtering for prognostics

June 3, 2024

The following presentation is largely based on Tim Sullivan’s UQ book which I highly recommend. It gives clear and concise mathematical presentations of various topics in UQ. Suppose we have a state-observation model that is linear and additive. The state/variable under scrutiny here is linked to a degradation phenomenon, moreover the degradation dynamics here are supposed to be linear. For non-linear dynamics, non-parametric methods exist, especially using particle filters. For the moment let the system be defined as:

Conformal Prediction for Regression

August 10, 2023

We fix a probability space $(\Omega,\mathcal{F},\mathbb{P})$. We denote by $2^{\mathbf{X}}$ the set of subsets of the set $\mathbf{X}$.