Team
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Research group
Postdoctoral researchers
Jian ZUO, “Degradation analysis and lifetime extension for fuel cells applied in heavy-duty vehicles”, began in January 2023.
Xin WANG, "Development of robust EIS implementable converters for PEM electrolyzers", began in July 2024.
Islam ZERROUGUI, "AST tests and electrolyzer system control", began in October 2025.
Doctoral researchers
Baturalp GERS, "Multi-scale in-operando characterizations for electrolyzers", began in January 2026
Zhuang TIAN, "Fuel cell modelling and control", began in November 2024
Fan YANG, "Magnetic field measurement based diagnosis for electrolyzers", began in February 2024
Zhiwen CHEN, "electrolyzer multiphysics modelling", began in February 2024
Simone PIEROBON, "Hybrid degradation modelling for PEM electrolyzers", began in October 2024
QiAn HE, “Health inspection for energy management and maintenance of multi-stack fuel cell systems”, began in October 2024.
Feng HAN, “Fuel cell prognostics and energy management”, began in November 2023.
Graduate students
Thomas BALMES, "Development of diagnostic tools for PEMFC using combined magnetic and software sensors", began in January 2026
Former group members
Postdoctoral researchers
(Post-doc) Zhigen NIE, « Trajectory planning and control for automated connected vehicles », 2019-2021
(Post-doc) Ali BAWAB, "Non-intrusive diagnostics of electrochemical devices through efficient inverse modeling", began in December 2024.
Doctoral researchers
(PhD) Nicolas VIGNAL, “Hybrid multiscale degradation modelling for PEMWEs”, began in November 2022.
(PhD) Islam ZERROUGUI, “Degradation mitigation control for PEMWEs”, began in November 2022
(PhD) Walid TOUIL, « Durability enhancement control for fuel cells », began in November 2021
(PhD) Raphaël GASS, « Durability modelling of fuel cells », began in October 2021
(PhD) Liang GUO, “Health and Energy managements for EVs”, begin in September 2020.
(PhD) Chu WANG, “Data-driven prognostics for fuel cell systems”, Began in September 2019.
(PhD) Jian ZUO, “Development of a Fuel Cell Prognosis Approach in the Context of a Local Energy Grid”, Began in September 2019.
(PhD) Majdi SAIDI, “Contrôle et optimisation d’un système hybride nomade à base de sources renouvelables pour la production énergétique”, defended in December 2021.
Graduate students
(MEng) Serdar KUCUK, "Realisation of double loop water circulation system", 2025.
(MEng) Bertrand SAWADOGO, "Contribution to the realization of an electrolyzer test bench", 2024.
(MEng) Loqmane RECHAM, "Realisation of magnetic field sensors for electrolyzer diagnosis", 2024.
(MSc) Xuelu WANG, « Health-aware EMS » defended in 2022.
(MSc) Ossama RAFIK, « Degradation modelling and adaptive EMS » defended in 2022.
(MSc) Jie SUN, « Design of electric circuit for wireless vehicle chargers », defended in 2021.
(MSc) Walid TOUIL, « MPC based EMS for FC hybrid vehicles », defended in 2021.
(MSc) Zakaria BENZINE, « Diagnostic des moteurs électriques à base de données ». 2020.
(MSc) Adrien DE BISSCHOP, Titre : Modélisation et analyse de données d’une électrode d’électromyographie Bipolaire sur sonde uro-dynamique, 2020
(MSc) Moustapha NIANE, “Fault diagnosis for fuel cells using partial model data-driven methods”, Defended in July 2013.
(MSc) Taher MARZOUGUI, “Support Vector Machine and its application for fault diagnosis”, Defended in July 2013.
(MSc) Nasr-eddine ELOBI, “Modeling solar energy potential using eclarement data”, Defended in July 2017.
(MEng) Yuxuan FEI, “AI-Assisted EMS for fuel cell based CHPs”, 2022.
(MEng) Raphael GASS, “Mass transfer modelling for fuel cells”, Defended in September 2021.
(MEng) Fouad BILAL, « Collection des données pour un système micro-cogénération ». 2021.
(MEng) Jérémy ARREOU, « Collection des données pour un système micro-cogénération ». 2021
(MEng) Jiaqi ZHANG, “Design of a hybrid renewable energy system in consideration of its energy management”, Defended in September 2019.
(MEng) Lin JIN, “Co-management of energy generation and load for a hybrid energy system”, Defended in September 2019.
(MEng) Zihan ZHU, “Energy management strategy for fuel cell hybrid vehicles using deep reinforcement learning”, Began in October 2018.
(MEng) Dongrui LYU, “Realizing robust fuel cell prognostic through online model learning”, Began in February 2019.
Joining the group
If you are interested in a PhD, postdoctoral position or research visit, consult the group news for advertised opportunities or email Zhongliang Li with your research interests and the type of position you are seeking. For international funding, see Campus France’s guide to doctoral funding. Applicants considering a China Scholarship Council doctorate or research visit can also consult the CSC–Centrale programme and get in touch before preparing an application.