Assil Bouzid CNRS Researcher

Teaching & supervision

8 PhD researchers

3 current · 5 alumni

4 Postdoctoral researchers

1 current · 3 alumni

4 Master students
3 Visiting students

Current PhD researchers and postdocs

Current PhD researchers

  • Irfan Ali Soomro
    2025-2028
    CO2 hydrogenation to valuable chemical products using density functional theory.
    Co-supervision with Lei Zhang and Yun Wang.
  • Alif Ijlal Wafi
    2025-2028
    Machine learning modeling of high-entropy materials.
    Co-supervision with Santanu Saha and Samuel Bernard.
  • Panupol Untarabut
    2024-2027
    First-principles investigation of high-entropy ceramic materials.
    Co-supervision with Santanu Saha and Samuel Bernard.

Current postdoctoral researchers

  • Narjes Jomaa
    2025-2026
    Development of high-throughput screening workflows for high-entropy ceramics discovery.
    Co-supervision with Sylvian Cadars.

Former PhD researchers and postdocs

PhD alumni

  • Fabien Mortier
    PhD defended on February 6, 2026
    First-principles and machine learning modelling of advanced ceramics for electrochemical water splitting.
    Co-supervision with Samuel Bernard.
  • Firas Shuaib
    PhD defended in January 2025
    First-principles and machine learning modelling of cathode materials for Na batteries.
    Co-supervision with Olivier Masson.
    Thesis manuscript
  • Ravikant Kumar
    PhD defended in April 2024
    First-principles modelling of metal oxide nanoparticles and their electronic properties.
    Co-supervision with Olivier Masson and Abid Berghout.
    Thesis manuscript
    Current position: Postdoc at Czech Technical University, Prague.
  • Raghvender Raghvender
    PhD defended in March 2023
    Ab-initio study of the structure of tellurium-oxide-based glasses: a step forward in establishing structure-property relationships.
    Co-supervision with Olivier Masson.
    Thesis manuscript
    Current position: Machine Learning Scientist at PreDeeption.
  • Lyna Torzuoli
    PhD defended in December 2020
    Study of the structures of TeO2-MxOy (M = Ti, Tl) glasses with total X-ray diffusion and molecular dynamics.
    Co-supervision with Olivier Masson and David Hamani.
    Thesis manuscript
    Current position: Associate Scientific Editor, Materials Today Communications, Elsevier.

Postdoctoral alumni

  • Firas Shuaib
    2025-2026
    Developing machine learning interatomic potentials for perovskite materials.
    Co-supervision with Santanu Saha.
  • Sébastien Rousseau
    2023-2024
    A machine-learning-guided optimization of geopolymer formulations for antenna coatings: AI algorithm development.
    Co-supervision with Ameni Gharzouni.
  • Raghvender Raghvender
    2023
    Predicting high-k dielectric materials.
    Co-supervision with Olivier Masson and Sylvian Cadars.
Courses

Teaching experience

Years Course Program / Institution
2020-present Statistical Physics M1 Advanced Ceramics · École Universitaire de Recherche TACTIC, University of Limoges
2016-2018 Geometrical Optics Materials Engineering · EPFL
2013-2014 Quantum Mechanics L3 Physics · University of Strasbourg
2013-2014 Physics Practical Works L2 Physics · University of Strasbourg
2012-2013 C Programming L1 Physics · University of Strasbourg
2012-2013 Quantum Mechanics L3 Physics · University of Strasbourg