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.