Mohamed Zaid SAKHI, Contribution to Cognitive Digital Twin for Prognostics and Health Management of Production Systems: enabling cognitive capabilities through Machine Learning and Ontologies. Doctoral Grant. Started in October 2025. Co-supervisor (50 %) with C. Franciosi (50%).
Melvin Fernandes Novo, Contribution to the failure prediction of industrial products using a hybrid approach combining artificial intelligence and physical models - Application to Schneider Electric products. PhD in collaboration with Scheider-Electric (CIFRE).. Started in November 2024. Co-supervisor (50 %) with P. Do (50%).
Rayane Ammar Khodja, Contribution to Predictive Maintenance of Pilot-Scale Units by Robust Detection of Functional Drifts Using AI Methods. PhD granted by IFP Energie Nouvelle. Started in September 2024. (100%)
Sofia Zappa, Cognitive Digital Twin framework for for asset lifecycle extension . PhD in co-supervision with Marco Macchi from Politecnico di Milano, Manufacturing group at the Department of Management, Economics, and Industrial Engineering. Started in December 2023. (30%)
Huu Truong Le, AI-based machine learning and reasoning for predictive maintenance in industry 4.0. PhD granted by Horizon Europe project MODAPTO. To be started in June 2023. . Co-supervisor (50 %) with P. Do (50%).
Ilias Abdouni, Federated Learning for Prognostics and Health Management. PhD granted by Horizon Europe project MODAPTO in collaboration with LORIA. Started in April 2023. Co-supervisor (50%) with C. Cerisara (LORIA) (50%).
Julien Chapelin, Digital transition and digital continuity to improve factory 4.0 performance: knowledge capitalization and development of associated 4.0 maturity models. PhD in collaboration with SEW. Defended on Decembre 18th, 2024. Duration: 45 months. Co-supervisor (33 %) with B. Rose () (33%) and B. Iung (33%).
Alaaeddine Chaoub, Deep learning representation pre-training for industry 4.0. PhD granted by H2020 project AI-PROFICIENT in collaboration with LORIA lab. Defended on July 10th, 20204. Duration: 44 months. Co-supervisor (50 %) with C. Cerisara (LORIA) (50%).
Van Thai Nguyen, AI-based maintenance planning for multi-component systems considering different kinds of dependencies. PhD granted by H2020 project AI-PROFICIENT. Defended on June 12th, 2023. Duration: 32 months. Co-supervisor (50 %) with P. Do (50%).
Antonin Gay, Data-driven prognostics for maintenance decision making: Facing industrial small datasets using Data Augmentation with prior knowledge integration. PhD in collaboration with Arcelor Mital (CIFRE). Defended on June 6th, 2023. Duration: 39 months. Co-supervisor (50 %) with B. Iung (50%).
Chiara Franciosi, a conceptual framework for measuring maintenance impacts on sustainability. PhD thesis University of Salerno. Defended on March 4th, 2019. Duration: 38 months. Scientific referee with R. Iannone, co-supervisor B. Iung and S. Miranda. Position 2020: Post-doctoral fellow at University of Salerno.
Thomas Laloix, Machine health check methodology to help maintenance in operational condition: application to machine tool from its kinematic monitoring. PhD Thesis Université de Lorraine in collaboration with RENAULT (CIFRE). Defended on December 11th, 2018. Duration: 40 months.Co-supervisor (50 %) with B. Iung (50%). Position 2019: Predictive Maintenance project leader RENAULT Group.
Bouthaina Abichou, Contribution to the formalization of health assessment for a multi-layers systems to aid maintenance decision making: Choquet integral-based aggregation of heterogeneous indicators. PhD Thesis Université de Lorraine granted with BMCI project. Defended on April 18th, 2013. Duration: 40 months. Co-supervisor (50 %) with B. Iung (50%). Position 2019: Data Mining Consultant, ALTEN.
Pierre Cocheteux, Contribution to proactive maintenance with the formalization of the prognostic process for industrial system performance. PhD Thesis UHP Nancy1. Defended on November 15th, 2010. Duration: 49 months. Co-supervisor (33%), co-supervisor B. Iung (33%) and E. Levrat (33%). Position 2020: teacher in higher education school.
Aqeel Ahmed. Post-doctoral position for the projects AI-PROFICIENT and MODAPTO (01/2025 - 12/2025). Chiara Franciosi (33%), Pascale Marangé (33%), Alexandre Voisin (33% )
Hanser Steven Jimenez Gonzalez. Post-doctoral position for the projects MODAPTO (07/2024 - 07/2025). Alexandre Voisin (50% ), Phuc Do (50%)
Chiara Franciosi. Post-doctoral position for the projects AI-PROFICIENT and MODAPTO (07/2022 - 08/2023). Alexandre Voisin (50% ), Mario Lezzoche (50%)
Hai-Canh Vu, Advanced models and algorithms for prognostics (02/2017 – 02/2018). Alexandre Voisin (50% ), Phuc Do (50%)
Mohammed-Farouk Bouaziz. Post-doctoral position for the cluster CONNEXION (12/2013 – 11/2014). Alexandre Voisin (50%), Pascale Marangé (50%)
Gabiella Medina-Oliva. Post-doctoral position for BMCI project. (12/2011 – 12/2012).
Rayane Ammar Khodja. contribution to predictive maintenance of pilot units through robust detection using artificial intelligence approaches, Master in Mechatronics Machine Vision and Artificial Intelligence , Paris Saclay University (03/2024- 08/2024). In collaboration with IFPEN.
Sofia Zappa. Cognitive digital twin for sustainable maintenance. Master in Management Engineering specialization in Industry 4.0, Politecnico di Milano, Italy (06/2023- 11/2023).
Samir El-Amrany. Joint learning to compensate missing features in machine prognostics. Master Data Mining and Business Intelligence (EID.) Galilei Institute - Sorbonne Paris Nord University, Paris, France / Master Web Intelligence and Data Science (WISD) Faculty of Sciences Dhar El Mahraz, Fez, Moroco (03/2023-07/2023).
Adeen Fasihi. Federated Learning for Industrie 4.0. Erasmus Mundus joint Master in Advanced Systems Dependability Université de Lorraine, France (03-2021-07/2021)
Gautier Vanson. Evaluation du niveau de régénération en utilisant les réseaux de pétris colorés stochastiques. MASTER ISC (Complex System Engineering). (09/2019-09/2020).
Rida Dahioui. Automotive market model based on causal graph in collaboration with PSA. (09/2014-09/2015).
Collince Christian Nzukam. Prognostic performance for multilevel systems. MASTER ISC (Complex System Engineering). (03/2013-09/2013).
Ludovic Rizzolo. Aggregation of Indicators for health assessment of hierarchical systems. MASTER ISC (Complex System Engineering). (03/2010-09/2010).
Jean-Pierre Noot. Statistical and Machine Learning Methods for Anomaly Detection and Predictive Maintenance of High-Power Engines, Strasbourg University, France. 25 September 2025.
Louis Goupil. Knowledge-Enhanced Machine Learning for Diagnosis, Toulouse University, France. 8 Jully 2024.
Khaled Sayad. Résilience croisée dans les réseaux de systèmes cyber-physiques cloud-natifs : Modélisation de la Disponibilité, Analyse et Optimisation du provisionnement des services critiques, Paris-Saclay University, France. 10 April 2024.
Albeiro Espinal Pulgarin, Modélisation d'offres d'emploi et de curriculums vitae en vue d'un processus de présélection automatisée de candidats. PhD thesis from Ecole Nationale Supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, IMT Atlantique. 11 December 2024.
Yann Petot, Contribution to k-additive fuzzy measures and to the stochastic Choquet integral. Application to medical cost-utility analysis. PhD thesis Université de Lorraine. 23 October 2017.
2020: Kerman López de Calle Etxabe "On the use of context information for an improved application of data-based algorithms in condition monitoring". University of the Basque Country (UPV/EHU). Spain. (evaluation letter for defense approval)