• Fuzzy Sets and Systems (Area Editor), since 2023
• International Journal of Approximate Reasoning, Associate/Aera Editor 2015-2024, Senior Area editor since 2024
• Artificial Intelligence Review (Editorial Board), between 2016 and 2022.

• Member of the french IA workgroup GDR IA executive committee (2018-?), in charge of website maintenance
• Directorial board member of BFAS (2010-2017: secretary, 2019-2023: member)
• Member of the executive committee SIPTA (2011-2013 and 2015-2017 as executive editor, 2013-2015 as secretary, 2017-2019 as president, 2019-2021 as at-large member, 2025-2027 as secretary)
• Former member of EUSFLAT and AFIA

• Member of the “comité d'orientation stratégique” for SATIE laboratory
• Member of the steering committee (comité de pilotage) of LFA conferences since 2020
• Member of the steering committee of ECSQARU conferences since 2025
• Member of CNRS national section 2 (computer science) and 54 (natural sciences and data) during 2025-2029 mandate

Starting 2026, I do not accept any PC/SPC/AC invitation to AI/ML/… conferences having more than 3000 submissions, nor am I the lead author/main proposer of any submission to those, as I believe that beyond this threshold (which is probably conservative), it becomes impossible to ensure a global high-quality reviewing process of scientifically advanced papers. I also do not encourage students to submit to such large scale events, preferring small-scale, specialized ones, but I still explain to them that these conferences are helpful for getting a job and gain visibility, and that they still “have” to play the game. I however do not forbid myself to be a co-author of one of those paper, provided I had a significant contribution to it.

• KR (2024-2025)
• AISTATS (2019-2025)
• CVPR (2024)
• AAAI (2018-2022, SPC: 2023-2026)
• NIPS/NeurIPS (2017-2025)
• UAI (PC: 2010-2020, SPC: 2021, AC: 2022-2026)
• IJCAI (SPC: 2017-2021, Program Committee Board: 2022-2024 )
• ECML (Journal Track: 2021-2025, conference track: 2024)
• ICML (2018-2020, 2022-2025)
• ECAI (2014-2022, every two years, SPC: 2024-2025)
• ICLR (2020-2024)
• COPA (2023)
• FLAIRS (2018-2022)
• DA2PL (2018,2020,2022 - Chair)
• SUM (2018,2020, 2024 - Program chair)
• BELIEF (2012-2022, every two years,2018 - Chair)
• ECSQARU (2011-2025, every two years, 2015 - Chair)
• IHMSC (2011)
• IUKM (2016-2018,2023)
• ISIPTA (2009-2025, every two years, 2013 - Chair,2017 and 2025 - Program Committee Board)
• SMPS (2012, 2018 - Chair, 2022)
• SOCPAR (2010)
• LFA (2012-2023, 2019 - Chair, Steering committee since 2020)
• KSE (2013-2014)
• EUROFUSE (2013)
• IPMU (2014-2024, every two years)
• FUZZ'IEEE (2014-2025)
• FUSION (2019-2025)
• ICAART (2016-2019)

Reviewer

• Violaine Antoine, Classification and Uncertainty Modelling, Université Clermont Auvergne, 2023
• Jean-Philippe Poli, Contributions to Explainable Artificial Intelligence: Developing ExpressIF® for Industry and Sciences, Université Paris Saclay, 2023
• Georg Schollmeyer, Relational methods for statistical analysis and decision making in the context of non-standard data and information structure, Ludwig-Maximilians-Universität (Munich), 2024
• Aly Chkeir, Technologie pour le Bien-Veillir: Modélisation, Traitement du signal et Intelligence Artificielle au Service de l'Autonomie et l'Assistance Personnalisée, Université de Technologie de Troyes, 2025

Examiner

• Wassila Ouerdane, From Preference Elicitation to Explaining Decisions: a Dialectical Perspective, Université Paris-Saclay, 2022
• Abdelhak Imoussaten, Modélisation des incertitudes et des préférences : application aux problèmes de décision multicritère et à l’apprentissage automatique prudent, Université de Montpellier, 2024

Reviewer

• Rocco De Rosa, Confidence-based and Nonparametric Classification: Applications to Credal Classification, Online and Active Learning, Universita di Milano, 2014
• Massimo Gurrieri, Benchmarks, Reduction Techniques and Rule-Based Learning for Label Ranking, Faculté Polytechnique de Mons, Belgique, 2015
• Quentin Brabant, Fonctions latticielles polynômiales pour l’interpolation et la classification monotone, Université de Lorraine, 2018
• Yiru Zhang, Modeling and management of imperfect preferences with the theory of belief functions, Université de Rennes 1, 2020
• Gerald Rocher, Évaluation de l’Effectivité des Systèmes Ambiants, Université Côte d'Azur, 2020
• Nadjet Bourdache, Élicitation incrémentale de préférences pour l'optimisation multi-objectifs, Sorbonne université, 2020
• Tekwa Tedjini, Le problème de tournée de véhicules avec fenêtres de temps et temps de service et de trajets incertains : Une réponse fondée sur les fonctions de croyance, Université D'artois, 2021
• Ismaïl Baaj, Explainability of Possibilistic and Fuzzy rule-based systems, Sorbonne Université, 2022
• Marvin Lasserre, Apprentissages dans les réseaux Bayésiens à base de copules non-paramétriques, Sorbonne Université, 2022
• Syrine Saidi, Représentation et exploitation des préférences conditionnelles dans un cadre possibiliste : Comparaison avec d’autres approches et extensions, Université Toulouse Sabatier, 2022
• Michael Franklin Mbouopda, Explainable classification of uncertain time series, Université de Clermont-Auvergne, 2022
• Andrea Campagner, Robust Learning Methods for Imprecise Data and Cautious Inference, Université de Milan-Bicocca, 2022
• Massinissa Hamidi, Méta-apprentissage guidé par les connaissances du domaine, Université Sorbonne Paris Nord,2022
• Claire Theobald, Bayesian Deep Learning for Mining and Analyzing Astronomical Data, Université de Nancy, 2023
• Julian Lienen, Robustifying Machine Learning through Weakening Supervision, Paderborn University, 2023
• Pierre Pomeret-Cocquot, Décision individuelle et stratégique sous incertitude : une approche algébrique et formelle, université Toulouse Sabatier, 2023
• Nicolas Dewolf, A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning, Ghent University, 2024
• Clara Charon, Classification probabiliste pour la prédiction et l'exsplication d'événements de santé défavorables et évitables en EHPAD, Sorbonne Université, 2024
• Mohamed Yassine Mejri, Decision Theory Applied to Mass Spectrometry-based Natural Product Discovery, Université Pairs Dauphine, 2024
• Alina Ciocarlan, Small target detection using deep learning, Université Paris Saclay, Onera, 2024
• Quentin Saint-Christophe, Fusion d'information multi-source en monde ouvert: vulnérabilité du processus et gestion des conflits, Ecole navale, ENSTA-Bretagne, 2024
• Armel Soubeiga, Evidential Clustering for Trajectory Analysis, Université de Clermont Ferrand, 2025
• Mohamed Ouaguenouni, Learning and predicting preferences over sets under element interaction and preference cycles, Sorbonne Université, 2025
• Arthur Ledaguenel, Probabilistic Neurosymbolic Techniques for Informed Classification: a unified view, experimental evaluation and complexity analysis, Université Paris-Sclay, CentraleSupélec, 2025
• Paul Melki, Contributions à la prédiction conforme pour la prise de décision basée sur la vision par ordinateur en agriculture, Université de Bordeaux, 2025
• Mohammed Fellaji, Epistemic Calibration for Bayesian Deep Learning: Principles, Issues and Solutions, Centrale Supélec, 2025
• Shireen Kudukkil Manchingal, Epistemic Deep Learning: Enabling Mahcine Learning to 'know when they do not know', Oxford Brookes, 2025
• Julian Rodemann, Uncertainty Quantification in Data-Centric Machine Learning: Some Statistical Perspectives, ludwig maximilian university of munich, 2026

Examiner

• Mohammad Ghasemi Hamed, Méthodes non-paramétriques pour la prévision d'intervalles avec haut niveau de confiance: application à la prévision de trajectoires d'avions, Université Paul-Sabatier, Toulouse, 2013
• Àlvaro Martinez Gòmez, Engine health monitoring and prognosis of engine fleets using intelligent data analysis for interval-valued and possibilistic data, Universidad de Oviedo, 2014
• Mehena Loudahi, Distances matricielles dans la théorie des fonctions de croyance pour l’analyse et la caractérisation des interactions entre les sources d’information, Université de Lille, Lille, 2014
• Idir Benouaret, Un système de recommandation contextuel et composite pour la visite personnalisée de sites culturels, Université de Technologie de Compiègne, 2016
• Siqi Liu, Uncertainty management in parameter identification, Université de Technologie de Compiègne, 2016
• Hela Goudier, Graphical Preference Representation under a Possibilistic Framework, Université de Toulouse Paul-Sabatier, 2017
• Nathalie Helal, An evidential answer for the capacitated vehicle routing problem with uncertain demands, Université d'Artois, 2017
• Marie Lachaize, Fusion de données pour les métiers de l'environnement : application au traitement des déchets, Université de Paris Sud, 2018
• Asma Trabelsi, Classifier ensemble under the belief function framework, Université d'Artois, 2018
• Khaled Belhacene, Towards accountable decision aiding : explanations for the aggregation of preferences, Ecole Centrale Paris, 2018
• Nicolas Cambier, Bio-inspired Collective Exploration and Cultural Organisation, Université de Technologie de Compiègne, 2019
• Sébastien Ramel, Evidential logistic regression: application to active classifier calibration and choquistic extension, Université de l'Artois, 2020
• Lucie Jacquin, Traitement de données incertaines : Application au tri des matières plastiques, Ecole des mines d'Ales, 2021
• Ayyoub Imakhlaf, Application des diagrammes de décision binaire pour l’analyse des arbres de défaillance cohérents et non cohérents en présence d’incertitudes, Université de Technologie de Compiègne, 2021
• Cyprien Gilet, Discretized minimax classifier for personalized diagnosis in medicine, Université de Nice, 2021
• Charles Vernerey, Multi-Objective Modeling and Optimisation for Knowledge Discovery, IMT Atlantique, 2023
• Tuan Anh Vu, Optimization problem with uncertain objective coefficients using belief functions and lower probabilities, Université d'Artois, 2024
• Mélina Verger, Algorithmic fairness analyses of supervised machine learning in education, Sorbonne Université, 2024
• Mathieu Cocheteux, Apprentissage automatique pour l'auto-calibrage de capteurs et l'analyse sémantique de scènes de conduite, Université de Technologie de Compiègne, 2025
• Margot Herin, Learning Preference Models: A Marriage between Decision Theory and Machine Learning, Sorbonne Université, 2025
• Océane Fourquet, Interpretable Classification Methods for Phenotype Prediction in Biomedicine, Sorbonne Université and Institut Pasteur, 2025
• Nicolas Urbani, Hierarchical Classification and Out-of-Distribution Detection for Vision, Université de Technologie de Compiègne, 2025
• Ahmed Laouar, Managing inconsistency in partially ordered information: application to dynamic and explainable access control models, Université d'Artois, 2025
• Jerôme Gaigne, Ordered structures for belief revision: from decisive operators to incomparability tolerant operators, Université de Technologie de Compiègne, 2025

• Université Sorbonne Paris Nord (LIPN)
• INSA Toulouse (LAAS)
• Polytech Annecy-Chambéry (LISTIC)
• Sorbonne Université (LIP6)
• Paris-Dauphine (LAMSADE)
• CentraleSupélec - Université Paris-Saclay (MICS)

• LFA 2006, 2012, 2019 (Program Chair)
• SMPS 2008, 2018 (Chair)
• ISIPTA 2013 (Chair)
• MS2T workshop 2013
• ECSQARU 2015 (Chair)
• MS2T summer school 2015
• WUML 2015, 2017, 2020 (@ECML), 2021 (local)
• WPMSIIP 2017
• BELIEF 2018 (Co-Chair)
• SUM 2019
• DA2PL 2022 (Co-Chair)

• ERCIM 2011,2012
• SMPS 2012
• KSE 2013
• EUROFUSE 2013
• IPMU 2014
• ECDA 2018
• ECML/PKDD 2020: WUML
• PFIA 2021: IA challenges in reasoning and learning
• IJCAI 2022: M-PREF
• ECSQARU 2023: workshop on uncertainty meets explainability
• IPMU 2024
• ECAI 2024

• Regular (Around once a year or more): International journal of Approximate Reasoning (IJAR), Fuzzy Sets and Systems (FSS), Information Sciences (INS), IEEE Transactions on Man, Systems and Cybernetics (IEEE SMC), International Journal of Uncertainty, Fuzziness and Knowledge-bases (IJUFKS), Soft computing (SOCO), IEEE Transactions on Fuzzy Systems (IEEE TFS), Machine Learning (MACHS), European Journal of Operations Research (EJOR).

• Occasional (at least once): Journal of Statistical Theory and Practice (JSTP), Artificial Intelligence (AI), Journal of the Franklin institute, Mathematical Social Sciences (MSS), International Journal of Reliability and Safety (IJRS), Annals of Operations Research (ANOR), Hydrology and Earth System Sciences, Computer-Aided Design (CAD), Journal of Risk and Reliability (JRR), IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Environmental Modelling & Software, International Journal of Performability Engineering, Journal of Engineering and Computer Innovations, Computational Statistics & Data Analysis (CSDA), Journal of Statistical Planning and Inference (JSPI), ACM Transactions on Modeling and Computer Simulation (TOMACS), Computers and Electronics in Agriculture (COMPAG), Ecography, IEEE Transactions on Automation Science and Engineering (IEEE T-ASE), IEEE Transactions on Reliability (IEEE TR), Journal of Applied Logic (JAL), Engineering Applications of Artificial Intelligence (EAAI), PLOS ONE, Journal of Mathematical Analysis and Applications (JMAA), Journal of Artificial Intelligence Research (JAIR), Journal of Mathematical Psychology (JMP), Information Fusion (INFFUS).

LFA (2009), SMPS (2008, 2010), EUSFLAT (2009), IPMU (2010, 2012)

Grant reviewer for French (ANR, RNTI), Swiss (SNF), Dutch (NWO), English (EPSRC) and Czech (GACR) national research agencies.