Tuan Anh Vu (2025 -SAFE AI chair): “Optimisation and uncertainty with belief functions”

Ander Gray (2024-2025, lab sponsored): “Dealing with severe uncertainties in risk propagation and machine learning” - now post-doctoral researcher at LIX, Polytechnique

Arthur Hoarau (2024-, SAFE AI Chair): “Uncertainty in learning problems” - now permanent lecturer at Centrale Metz

Louenas Bounia (2024-2024, SAFE AI Chair): “Robust explanations in AI models” - now permanent lecturer at Université Paris XIII

Cyprien Gilet (2022, Fondation UTC): “Controlling classification errors” - now permanent lecturer at Université de Technologie de Compiègne

Tom Davot (co-supervised with D. Savourey, 2021-2022, Labex MS2T, 2023, ANR PreServe): “Graph optimisation under severe uncertainty” - now permanent lecturer at Angers University

Tathagata Basu (co-supervised with B. Quost, 2021-2022, PreServe ANR project): “Preference learning under severe uncertainty” - now post-doctoral researcher at Strathclyde

Arthur Van Camp (co-supervised with B. Quost, 2019-2020, PreServe ANR project): “Preference learning under severe uncertainty” - now lecturer at Eindhoven University

Yann Soullard (co-supervised with I. Thouvenin, 2014-2016, KIVA project): “Pattern recognition and sensory feedback in virtual environment for gesture training” - now lecturer at Rennes University

Nadia Ben Abdallah (co-supervised with M. Sallak, 2014-2015, ANR project RECIF): “Expert elicitation in reliability studies” - now research engineer at CEA

Olivier Cailloux (co-supervised with B. Quost, 2014-2015, LABEX grant): “Aggregation of partial preferences” - now lecturer at Paris Dauphine

Ignacio Montes (2014-2015, LABEX grant): “Design of multi-objective systems under uncertainty” - now lecturer at University of Oviedo

Armand Gaudillier: “Explaining and correcting inconsistent preferences through uncertainty modelling” (co-supervised with Khaled Belahcene and Wassila Ouerdane)

Chenrui Zhu: “Robust explanations and explaning robustness” (co-supervised with Mylène Masson and Vu-Linh Nguyen)

Salvador Madrigal: “Solving imbalanced multi-label problems” (co-supervised with Cyprien Gilet and Vu-Linh Nguyen)

Wenlong Chen: “Solving covariate shift problems through robust models” (co-supervised with Cyprien Gilet and Benjamin Quost)

Bruce Cyusa Mukama: “Robust event detection” (co-supervised with Soundouss Messoudi and Sylvain Rousseau)

Priscillia Labourg: “imprecision and uncertainty in geospatial problems” (co-supervised with Romain Guillaume, Jeremy Rohmer and Benjamin Quost)

Lina Achour: “Monitoring and control of Hydrogen Fuel Reservoir Fabrication” (co-supervised with Zoheir Aboura and Kamel Khellil)

Vitor Bordini: “Self-supervised learning from credal labels” (co-supervised with Benjamin Quost)

Roman Malinowsky: “Uncertainty propagation in 3D satellite image reconstruction” (co-supervised with Emmanuelle Sarrzin, Emmanuel Dubois and Loic Dumas) - Now AI consultant at HeadMind partners

Henoik Willot: “Ethics and sincerity in aid-decision systems” (co-supervised with Khaled Belahcene) - now post-doctoral researcher at ONERA - DTIS

Loic Adam: “Preference elicitation under severe uncertainty” - now permanent lecturer at Université de Poitiers

Soundouss Messoudi: “Conformal prediction methods for complex data: application to real-estate mangement” (co-supervised with Sylvain Rousseau) - now lecturer at Université de Technologie de Compiègne

Krushna Shinde: “Interval uncetainty method to treat inconsistent measurements in inverse problems” - now development Engineer at TRANSVALOR (co-supervised with Pierre Feissel)

Yonatan Carlos Carranza Alarcon: “Learning graphs under severe uncertainties” - now ML Op at Warner Bros

Linh Nguyen (co-supervised with M. Masson): “Learning optimal information queries under severe uncertainty” - now junior professor chair of AI at Université de Technologie de Compiègne

Lanting Yu (co-supervised with M. Sallak and W. Schön): “Reliability optimization of systems with uncertain failure data”

Gen Yang (co-supervised with M. Masson): “Machine learning problems with severe uncertainty and structured data” - now data scientist at Kpler company

Nicolas Sutton Charani (co-supervised with T. Denoeux): “Learning from uncertain data and knowledge : application to rubber quality prediction” - now lecturer at Ecole des Mines d'Ales

Liyao Ma (visited for one year): “Active learning in evidential decision trees” - now lecturer at University of Science and Technology of China, Hefei

Siyi Shen (co-supervised with Benjamin Quost, 2025): “Imprecise data for gradual domain adaptation ”

Wenlong Chen (co-supervised with Benjamin Quost and Cyprien Gilet, 2024): “Classifiers robust to covariate shift”

Salvador Madrigal Castillo (co-supervised with Vu-Linh Nguyen and Cyprien Gilet, 2024): “Minimax classifiers for multi-label problems”

Louis de Ferluc (co-supervised with B. Quost, 2021): “Robust collaborative learning”

Juliette Ortholand (co-supervised with K. belhacene, 2020): “Learning fair classifiers”

Loic Adam (co-supervised with A. Van Camp and B. Quost,2020): “Learning to rank under severe uncertainties”

Henoik Willot (co-supervised with S. Lagrue,2020): “Uncertainty in CP-nets”

Pierre-Louis Guillot (co-supervised with M. Masson, B. Quost and D. Savourey, 2019): “Optimal preference elicitation under severe uncertainty”

Sarah Fakih (co-supervised with M. Masson and V. Berger-Cherafoui, 2018): “Cautious self-driving based on occupational grid”

Joseph Rocca (co-supervised with B. Quost and D. Savourey, 2016): “Optimal uncertainty reduction by sequential strategies.”

Safouen Mediouni (co-supervised with N. Ben Abdallah and M. Masson, 2015): “Information fusion: what works, what does not work?”

Lanting Yu (co-supervised with M. Sallak and M. Poss, 2014): “Optimization methods for k-out-of-n consecutive systems”

Rania Kallel (co-supervised with B. Ben Yaghlane, 2013): “Partial predictions in multi-label setting with evidential methods: first study”

Roula Nassif (co-supervised with M. Masson, 2013): “Calibrated ranking with belief functions”

Mathieu Hourbracq (co-supervised with C. Baudrit and P.H. Wuillemin, 2013): “Learning and Computing with Dynamic Credal Networks: Application to Cheese ripening”

Zohra Kemache (co-supervised with T. Denoeux and E. Humbert, 2011): “Risk analysis in tunnel construction”

Yosra Mazigh (co-supervised with B. Ben Yaghlane, 2010): “Learning graphical models to predict semolina value”

Iyan Johnson (co-supervised with R. Thomopoulos and B. Charnomordic, 2009): “Integrating expert knowledge to a learning algorithm”

Nicolas Maillet (co-supervised with P. Buche and B. Charnomordic, 2009): “Data reliability assessment in a data warehouse opened on the Web”