Table of Contents

Research Activities

Trustworthy AI; uncertainty quantification; machine learning from poor data (imprecise, uncertain, partial) Managing uncertainty; theory of belief functions Classifier combination; information fusion

Research Supervision

PhD Thesis

  1. Minh-Phat Do (2025–2028), CIFRE UTC – Ampere : « Decision and trajectory planning for a vehicle operating in an uncertain environment ». Co-supervision S. Lagrue (HDS, UTC, 50%), B. Quost (50%); co-supervision S. Destercke (HDS, CNRS).
  2. Hanqing Yang (2025–2028), CIFRE UTC – Ampere : « On-board and off-board detection and monitoring of electric powertrain health; application to predictive maintenance of electric vehicles ». Co-supervision N. Patin (Roberval, UTC, 50%), B. Quost (50%); co-supervision V. Lanfranchi (Roberval, UTC).
  3. Siyi Shen (2025–2028), PAC Cluster PostGenAI@Paris & MESR : « Robust transfer learning; application to deep probabilistic models ». Co-supervision P.-H. Wuillemin (LIP6, Sorbonne Université, 50%), B. Quost (50%); co-supervision S. Destercke (HDS, CNRS).
  4. Wenlong Chen (2024–2027), ANR : « Minimax learning under covariate shifts and imbalanced classes ». Co-supervision C. Gilet (HDS, UTC, 50%), B. Quost (50%); co-supervision S. Destercke (HDS, CNRS).
  5. Priscillia Labourg (2023–2026), ANR : « Imprecision & uncertainty in geospatial problems ». Co-supervision S. Destercke (HDS, CNRS, 50%), R. Guillaume (IRIT, UPS, 50%); co-supervision B. Quost, J. Rohmer (BRGM).
  6. Vitor Martin Bordini (2022–2025), SCAI & Fondation UTC : « Robust collaborative learning ». Co-supervision S. Destercke (HDS, CNRS, 50%), B. Quost (50%).
  7. Soroush Ghandi (2021–2025), TU Eindhoven : « Enhancing Learning Algorithms for Probabilistic Circuits ». Co-supervision C. P. de Campos (TU Eindhoven, 33%), B. Quost (33%), M. Tavakol (TU Eindhoven, 33%).
  8. Haifei Zhang (2020–2023), MENRT Research Grant : « Explainable cautious classifiers ». Co-supervision M.-H. Masson (HDS, UPJV, 50%), B. Quost (50%).
  9. Mathieu Randon (2020–2023), CIFRE UTC – Renault : « Adaptive GMP control by on-board and remote optimization in the context of connected vehicles ». Co-supervision B. Quost (50%), N. Boudaoud (Roberval, UTC, 50%); Dirk von Wissel (Renault).
  10. Abdel-Djalil Ourabah (2013–2017), CIFRE UTC – Renault : « Energy prediction of a car journey to reduce the consumption of plug-in hybrid vehicles ». Co-supervision B. Quost (50%), T. Denœux (HDS, UTC, 50%); co-supervision Atef Gayed (Renault).
  11. Dingfu Zhou (2011–2014), China Scholarship Council : « Multimodal perception and classification of imprecise and uncertain data for dynamic scene analysis ». Co-supervision V. Frémont (HDS, UTC, 50%), B. Quost (50%).
  12. Xun Wang (2011–2014), Collegium UTC – CNRS/INSIS : « Identification and localization of acoustic sources using mixture models and taking into account propagation uncertainty ». Co-supervision B. Quost (50%), J. Antoni (INSA Lyon, 50%); co-supervision J.-D. Chazot (Roberval, UTC).
  13. Violaine Antoine (2008–2011), MENRT Research Grant : « Integration of a priori knowledge in automatic classification ». Co-supervision B. Quost (50%), M.-H. Masson (HDS, UPJV, 50%).

Post-doctoral Researchers

  1. Tathagata Basu (2021–2023), ANR PreServe : « Cautious inference of ranking models ». Co-supervision: B. Quost (50%), S. Destercke (HDS, CNRS, 50%).
  2. Arthur Van Camp (2019–2021), ANR PreServe : « Cautious inference of ranking models ». Co-supervision: B. Quost (50%), S. Destercke (HDS, CNRS, 50%).
  3. Olivier Cailloux (2014–2015), Labex MS2T : « Aggregation of partial preferences ». Co-supervision: S. Destercke (HDS, CNRS, 50%), B. Quost (50%).

Master's Students

  1. Pedro Henrique Simão Achete (2026) : « Physics-informed probabilistic models for large-scale traffic dynamics ». Co-supervision J.-B. Leger (HDS, CNRS, 50%), B. Quost (50%).
  2. Siyi Shen (2025) : « Robust transfer learning, application to probabilistic circuits ». Co-supervision S. Destercke (HDS, CNRS, 50%), B. Quost (50%).
  3. Wenlong Chen (2024) : « Robust learning with uncertain features ». Co-supervision S. Destercke (HDS, CNRS, 33%), C. Gilet (UTC, HDS, 33%), B. Quost (33%).
  4. Yucheng Zhou (2022) : « Making classification systems robust to adversity ». Co-supervision C. P. de Campos (TU Eindhoven, 50%), B. Quost (50%).
  5. Louis de Ferluc (2021) : « Robust co-learning ». Co-supervision S. Destercke (HDS, CNRS, 50%), B. Quost (50%).
  6. Dany Ghraizi (2021) : « Mechanical fault detection using LSTM networks ». Co-supervision F. Abdallah (Lebanese University, 33%), M. El Tabach (CETIM, 33%), B. Quost (33%).
  7. Loïc Adam (2020) : « Cautious inference of ranking models ». Co-supervision S. Destercke (HDS, CNRS, 50%), B. Quost (50%).
  8. Pierre-Louis Guillot (2019) : « Introducing uncertainty to preference elicitation methods ». Co-supervision S. Destercke (HDS, CNRS, 33%), B. Quost (33%), M.-H. Masson (HDS, UPJV, 33%).
  9. Joseph Rocca (2016) : « Learning optimal information queries under severe uncertainty ». Co-supervision S. Destercke (HDS, CNRS, 33%), B. Quost (33%), D. Savourey (HDS, UTC, 33%).
  10. Bernard Laval (2011) : « Classification methods for obstacle detection by stereovision ». Co-supervision V. Frémont (HDS, UTC, 50%), B. Quost (50%).