Students
PhD students- Ben Gao - Toward frugal machine learning with physics-aware models (starting date: October 2024) - co-supervised with Olivier Alata
- Abdel-Rahim Mezidi - Unveiling and incorporating knowledge in physics-guided machine learning models (starting date: October 2023) - co-supervised with Amaury Habrard
- Wynona Bouchenot - Predicting publications with continuous deep models (May-June 2024)
- Aubin Sionville - Discovering the laws of physics through the bilevel learning of neural operators (May-August 2024)
- Abdel-Rahim Mezidi - Fast approximation of high-order hyper-gradients (April-September 2023)
- Antoine Grand - Multi-task learning of neural ODEs (March-September 2023)
Courses
Télécom Saint-Etienne
2nd year, Data Engineering Apprenticeship Engineer
A quick introduction to data analysis for engineers
Course webpage
2nd year, Data Engineering Apprenticeship Engineer
A quick introduction to data analysis for engineers
Course webpage
Télécom Saint-Etienne
1st year, Engineer Telecom Saint-Etienne
Comprehensive understanding of fundamental data structures in C/C++
Course webpage
1st year, Engineer Telecom Saint-Etienne
Comprehensive understanding of fundamental data structures in C/C++
Course webpage
Télécom Saint-Etienne
2nd year, Data Engineering Apprenticeship Engineer
Design, implementation, and interpretation of statistical tests
Course webpage
2nd year, Data Engineering Apprenticeship Engineer
Design, implementation, and interpretation of statistical tests
Course webpage
MATh.en.JEANS
The organization MATh.en.JEANS aims to bring mathematics to life for young people, according to the principles of mathematical research. It allows young students to meet researchers and practice an authentic scientific approach in schools, from its theoretical to applied dimensions and if possible in touch with current research themes. Since 2020, I have been invited to collaborate and animate workshops with the European School The Hague and the French Lycée Vincent-Van-Gogh. For the 2020-2021 edition, I have proposed subjects about card tricks and autonomous vehicles. Throughout the year, students have acquired knowledge ranging from numeral systems and object-oriented programming to deep Q-learning. During 2021-2022, I have suggested research projects on face recognition, robust coding systems and fairness in machine learning.Teaching Experience
Since September 2022, I am a associate professor in Machine learning at Telecom Saint-Etienne (TSE) where I give courses both in the Engineer program (FISE) and the Data Engineering Apprenticeship program (FISA). I am also involved in the international master program Machine Learning and Data Mining (MLDM) of the Universite Jean Monnet (UJM)In 2021-2022, I have done teaching vacations at INSA Rouen Normandie. From 2013 to 2016, I benefited from a teaching activity grant. I gave tutorial classes as well as oral exercices and supervised practical exercices at Université Claude Bernard Lyon 1 and Ecole Normale Supérieure de Lyon.