Professor in Computer Science at Université de Lorraine – HDR. – Deputy director of the LORIA lab.
Head of the BIRD research team at LORIA lab, PI of the ANR BOOM (2020-2024) project.
Teaching at IDMC (Institute of Digital Sciences, Management and Cognition), head of the 2nd year of Master in Cognitive Sciences (2012-2018: head of the Bachelor in Mathematics and Computer Science applied to Social and Human Sciences)
My research interests are: artificial intelligence, trustworthy AI, including user modelling: preferences and behavior for diagnostic, predictive and prescriptive modelling, with a specific focus on the design of recommender systems. My approach relies on machine learning and data mining.
Application domains of my research works are: education, media, commerce, human resources, banking, etc.
I am currently the co-adviser of the following PhD students:
- Guillaume Schmit « Improve performance and generalisation of AI ». Defence planned in November 2026.
- Chloé Przemyski « Anti-fraud system: inference and prediction in a non-stationary and reactive environment. » Defence planned in October 2026.
- Ikram Gagaoua « Conception d’un méta-modèle apprenant » Thèse CIFRE. Defence planned in March 2025.
- Célina Treuillier « News Recommender Systems to Open Opinion Bubbles ». Defence planned in October 2024.
- Nicolas Hubert » Recommender system for educational orientation ». Defence planned in October 2024.
- Evan Dufraisse « Hybrid representation of polarising topics in political news ». Defence planned in March 2024.
- Patrick Asante Owusu « Causal inference for recommendation ». International co-tutelle with Université de Sherbrooke (Québec), co-advised by Pr. Shengrui Wang. Defence planned in November 2023.
Past Phd students:
- Alexandre Bettinger « Independent influence and explainability of exploration and exploitation in metaheuristics ». Defended in December 2022.
- Zhao Zhang » Towards hybrid and explainable recommender systems mixing content analysis and collaborative filtering ». Defended in July 2022.
- Adrien Dufraux « Leveraging Noisy, Incomplete, or Implicit Labels for Automatic Speech Recognition ». Defended in April 2022.
- Halima Ramdani « Optimization e-recruitment process ». Defended in December 2021.
- Julie Budaher » Sequential Pattern Generalization for Mining Multi-source Data ». Defended in December 2020.
- Yacine Abboud « Fouille de motifs : entre accessibilité et robustesse ». Defended in November 2018.
- Benjamin Gras « Modeling atypical users in recommender systems ». Fefended in January 2018.
- Oleksandr Palchenko « Algorithms and information technology to search similar objects in Big Data ». PhD stopped after 1 year.
- Marharyta Aleksandrova « Matrix factorisation and contrats analysis for recommandation ». French-Ukraine PhD. Defended in July 2017.
- Lina Fahed « Predicting and Influencing the occurrence of events in a complex sequence ». Defended in October 2016.
- Geoffray Bonnin « sequential approaches in recommender systems for Web navigation ». Defended in November 2010.
- Ilham Esslimani « a behavioral approach of the recommendation and social networks as a representation tool ». Defended in December 2010.
