Education
- PhD in machine learning applied to power electronic module’s reliability, ENS Paris-Saclay, 2026 (expected)
- Masters MVA (Mathématiques, vision, apprentissage), ENS Paris-Saclay, 2022
- Engineering degree in Applied mathematics, ENSTA Paris, 2022
- Preparatory class Institut préparatoire aux études d’ingénieurs Tunis (IPEIT), 2019
Work experience
- Spring 2022: Reasearch internship
- Datakalab
- Data-Driven quantization of neural networks for image classification and segmentation
- Supervisors: Edouard yvinec, Kevin Bailly
- Spring 2021: Reasearch internship
- CREST-ENSAE
- Statistical modeling for Cross platform audience estimation
- Supervisor: Guillaume Lecué
Skills
- Machine learning
- Pytorch
- Tensorflow
- Programming
- Python
- C/C++
- R
- Matlab
- Optimization
- Julia
Miscellaneous
- Competitive programming : Ranked 34/97 in the competitive programming competition SWERC (South Western Europe Regional Contest)
- Maths and logic : Top 20 in the Tunisian national exam of mathematics and participation in the training course organized by the Tunisian association of mathematics (ATSM)
- Freelance : Practice Question Writer at Study.com
Publications
Talks
Combining machine learning with finite element simulations for fast computation in power module failure Analysis due to wire bond degradation
Talk at Arts et Métiers – ENSAM (Paris Campus), Paris, France
Physics-informed Markov chains for remaining useful life prediction of wire bonds in power electronic modules
Poster at Paganini Conference Center, Parma, Italy
Estimating the remaining useful life of power electronic modules using aging tests
Talk at Amphi Dorothy Hodgkin, ENS Paris-Saclay, Gif-sur-Yvette, France
Hybrid modeling for remaining useful life prediction in power module prognosis
Talk at Four Points by Sheraton Catania Hotel & Conference Center, Aci Castello, Catania, Italy
Teaching
Academic records
- baccalauréat
- Preperatory class : First year, semester 1, First year, semester 2, Second year, semester 1, Second year, semester 2, National exam
- Engineering : First year (French), First year (English), Second year (French), Second year (English), Third year (French)
- Masters
Download
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