Fabien Lauer

Ass. Prof. of Computer Science at the Université de Lorraine (UL), France Member of the MosAIk research team at the Lorraine Laboratory of IT Research and its Applications (LORIA) (also ex-member of the ABC and SyNaLP research teams) Head of the department Natural Language Processing and Knowledge Discovery of the LORIA Address: LORIA - Equipe Synalp - Campus Scientifique - BP 239 - F-54506 Vandoeuvre-lès-Nancy, France Office: room B102 in the LORIA building Phone: +33(0) 3 54 95 85 31 E-mail: fabien.lauer (at) loria.fr

Machine learning

• Learning theory
• Learning piecewise smooth functions and switching regression
• Support Vector Machines and kernel methods
• Sparsity and convex relaxations
• Spectral clustering
• Incorporating prior knowledge in learning algorithms

Other related fields

• Hybrid dynamical system identification (new book)
• Scenario approach to robust optimization
• Bioinformatics
• Computer vision

Machine learning/AI related courses:

• Artifical Intelligence (M1 Informatique, 4A Polytech Nancy)
• Supervised learning (M1 Informatique)
• Statistical learning and model selection (M2 AVR)
• Modeling, Estimation and Learning (5A CSS Polytech Nancy)
• Data analysis (L3 Informatique)

Responsibilities:

• M1 Informatique, Nancy

• Abdelkader Metakalard (2024- ): Quantized learning theory and dynamical system identification
• Senaid POPOVIC (2024- ): Intent detection and analysis in textual contexts
• Tom MASINI (2021-2024): Analysis of phase transitions in statistical learning theory
• Louis MASSUCCI (2019-2022): Statistical learning theory and hybrid system identification
• Khadija MUSAYEVA (2015-2019): Generalization performance of margin multi-category classifiers
• Van Luong LE (2010-2013): Hybrid dynamical system identification: geometry, sparsity and nonlinearities

• Rahimeh ROUHI (2019-2021): ECG classification and Atrial fibrilation detection, AIHD project