About me

I am a recent PhD graduate in applied mathematics, focusing on estimating the remaining lifetime of power electronic modules using data-driven approaches.

PhD

My doctoral research was a collaboration between the SATIE (Laboratoire des systèmes et applications des technologies de l’information et de l’énergie) and LMPS (Laboratoire de Mécanique Paris-Saclay) labs at ENS Paris-Saclay. My work focused on utilizing experimental and simulated data to efficiently model the failure of power electronic modules. Through this research, I aimed to bridge the machine learning, electrical engineering, and mechanics communities, providing practical solutions for manufacturers and users to optimize the use of power modules. My thesis was supervised by Mounira Bouarroudj, Ludovic Chamoin, and Emanuel Aldea. If you’re curious about the outcomes of this work, you can explore the the Publications and Talks sections.

Tags: Machine learning Time series Power electronics Predictive maintenance Few-shot learning Stochastic models

Background

I am a graduate of ENSTA’s class of 2022, majoring in applied mathematics, and I hold an MVA Master’s degree from ENS Paris-Saclay. I graduated with the highest honors from both institutions. Prior to my engineering studies, I ranked first nationwide in the National Entrance Examination for Engineering Schools (Tunisia).

Skills

Throughout my academic career and my personal projects, i have developped skills in

  • Machine learning
  • Statistics
  • Probabilistic modeling
  • Time series modeling
  • Programming
  • Optimization

For a comprehensive overview of how I apply these skills, you can refer to my Publications and my detailed CV.

Interests

I developed an interest in mathematics and logic at a young age, initially sparked by brain-teasers I stumbled upon in magazines and math books. This curiosity translated into academic milestones: in 2015, I was selected to take the PISA exam, and I later ranked first in the Ben Arous region of Tunisia in the mathematics regional exam organized by the Tunisian Association of Mathematics (ATSM). This earned me a spot in the math olympiad training course among the top 20 candidates. I also enjoy applying this logical foundation to competitive programming, having ranked 34th out of 97 in the South Western Europe Regional Contest (SWERC) in 2022.

As I grew up and discovered the internet, my passion for math was further fueled by channels like Numberfile, 3Blue1Brown, and MindYourDecisions. Aside from my love of math, I have a soft spot for physics, which ultimately inspired the choice of my thesis topic. Today, channels like Vsauce and Veritasium continue to fuel my curiosity in both science and physics.

Stay in touch

I am looking forward to hearing from you! Feel free to contact me via the social links in the left sidebar. I would love to hear your thoughts on my work or have a discussion about related topics. I am currently open to collaborations and job opportunities.