Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Kolmogorov-Arnold representation theorem
Published:
This post presents an overview on the Kolmogorov-Arnold representation theorem.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
projects
Power Electronics Lifetime Estimation
Published:
This project focuses on estimating the remaining lifetime of power electronics modules using machine learning.
publications
Hybrid modeling for remaining useful life prediction in power module prognosis
Published in 2024 25th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), 2024
This paper presents a hybrid approach to estimate the remaining useful life of power electronic modules. It uses Paris law alongside an adaptive polynomial interpolation method to predict the evolution of the module s health indicator
Physics-informed Markov chains for remaining useful life prediction of wire bonds in power electronic modules
Published in Microelectronics Reliability, 2025
In this paper, we utilise kernel density estimation coupled with a Markov-chain based sampling scheme to estimate the remaining useful life of power electronic modules. The approach presents high accuracy even when the data is scarce and the prediction task is difficult, namely interpolation and extrapolation
talks
Hybrid modeling for remaining useful life prediction in power module prognosis
Published:
This work was presented during the 2024 25th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE). Its main purpose is to highlight how a physics-based model (Paris’ law) and a data-driven model (adaptive polynomial regression) can be combined to obtain a hybrid model that benefits from both model types’ strenghts.
Estimating the remaining useful life of power electronic modules using aging tests
Published:
This talk was given during the annual doctoral students’ day to present my PhD’s topic and has recieved the award of the best presentation.
Physics-informed Markov chains for remaining useful life prediction of wire bonds in power electronic modules
Published:
This poster was presented during the 35th European Symposium on Reliability of Electron Devices, Failure Physics and Analysis (ESREF 2024). Throught this poster, we show how kernel density estimation can be utilised as a probability density estimator, to be utilised in a Markov-Chain based sampling scheme. This sampling scheme allows us to capture the dynamic responsible for the power electronic modules’ failure, using experimental data of tests to failure, combined with numerical simulations used to generate mechanical features.
Combining machine learning with finite element simulations for fast computation in power module failure Analysis due to wire bond degradation
Published:
This talk took place at the 2025 Digital Twins in Engineering & Artificial Intelligence and Computational Methods in Applied Science confernece (DTE - AICOMAS 2025), it presented how machine learning can be used to create surrogate models for finite element simulations to reduce computational time. This work was carreid out to enable advanced frameworks for remaining useful life estimation.
teaching
Mathematical tools for management
Undergraduate course, IUT Sceaux, 2023
This course introduces basic notions of mathematics to undergraduate students (L1 level), specialising in management. As a teaching assistant, my job was to make students familiar with their course materials by going through various exercices and creating an environment that promotes discussions and questions to solidify the students’ knowledge. I was the teaching assistant of 2 groups of 25 students for the first semester and one group of 25 students for the second semester. The topics adressed during this course are mentioned below :
Numerical tools for management
Undergraduate course, IUT Sceaux, 2023
This course highlights how the Central Limit Theorem can be utilised to create confidence intervals and to conduct statistical tests. I was the teaching assistant of a group of 25 undergraduate students (L2 level) during the second semester of the 2023/2024 academic year.