Benjamin Quost

Benjamin Quost

Senior Researcher

Université de Technologie de Compiègne

Benjamin Quost obtained his engineering degree (2003), PhD (2006) and Habilitation (2018) from the Université de Technologie de Compiègne (UTC, France). He holds a position of assistant professor at this institution (Department of Computer Science, Heudiasyc laboratory). His research interests focus on machine learning from imperfect (imprecise, uncertain) information, and more particularly supervised and unsupervised classification. He also worked on classifier combination and data fusion. He is interested in the theoretical framework of belief functions (or Dempster-Shafer theory) for representing and managing imprecision and uncertainty. Benjamin joined the Eindhoven University of Technology (TU/e) in 2021, for a short research stint. But he’ll be back.

Interests

  • Artificial Intelligence
  • Machine Learning under Uncertainty

Education

  • Habilitation in Computer Science, 2018

    Université de Technologie de Compiègne

  • PhD in Computer Science, 2006

    Université de Technologie de Compiègne

  • MEng/MSc in Computer Science, 2003

    Université de Technologie de Compiègne