Baptiste Lafabregue

Baptiste Lafabregue

Associate Professor in Artificial Intelligence

Université de Strasbourg


I am a Computer Science reseracher in Artificial Intelligence, with a specialty in Clustering and Time Series analysis. I work on general time series data with also some more specific application on remote sensing. I am currently a Associate Professor at the Université de Strasbourg and ICube Laboratory.

Download my resume (FR version).

  • Machine Learning
  • Time series
  • Collaborative clustering
  • PhD in Computer Science, 2021

    Université de Haute Alsace

  • Msc in Computer Science Engineering, 2014

    École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)

  • BSc in Computer Science, 2012

    Université de Strasbourg


Université de Strasbourg
Associate Professor of Computer Science
Sep 2022 – Present Strasbourg, France
  • Teaching for BSc and Msc in Computer Science.
  • Research on time series clustering.
Université de Strasbourg
Lecturer (ATER)
Sep 2021 – Aug 2022 Strasbourg, France
  • Teaching for BSc in Computer Science.
  • Research on time series clustering.
  • Managment of two MSc research projects
Université de Haute Alsace
PhD candidate
Sep 2018 – Aug 2021 Mulhouse, France
Thesis subject: Constrained Clustering and Deep Learning for time series analysis - applied to incremental approaches and remote sensing time series
Université de Strasbourg (ICube Lab)
Research Engineer
Sep 2016 – Aug 2018 Strasbourg, France

Research Engineer in the Science of Data and Knowledge (SDC) team at the ICube research laboratory. Main tasks:

  • Re-engineering and maintenance of a clustering and segmentation libraries on remote-sensing images.
  • Collaboration with other remote sening experts (SERTIT).
  • Management of interns working on the libraries
Talent Business Solutions
Project Manager and Consultant
Sep 2014 – Aug 2016 Strasbourg, France
  • Managment of multiple ERP deployment projects (Microsoft Dynamics NAV): analysis, conception, deployment, support for multiple customers. Main projects: Spitzer Eurovrac (30 users), Caldera Graphics (30 users), Pharmacie Nouvelle Ltd (60 users).
  • Managment of developers for each projects.


Quickly discover relevant content by filtering publications.
(2021). Grad Centroid Activation Mapping for Convolutional Neural Networks. In ICTAI 2021.

PDF Cite Code DOI

(2021). End-to-end deep representation learning for time series clustering: a comparative study. In DMKD.

PDF Cite Code Dataset DOI

(2019). Constrained Distance-Based Clustering for Satellite Image Time-Series. In JSTAR.

PDF Cite Code DOI

(2019). Deep constrained clustering applied to satellite image time series. In ICTAI 2021.

PDF Cite Code

(2019). Constrained distance based k-means clustering for satellite image time-series. In IGARSS 2019.

PDF Cite Code DOI

(2018). Constrained distance based clustering for time-series: a comparative and experimental study. In DMKD.

PDF Cite Code Dataset DOI


  • Télécom Physique Strasbourg
    300 bd Sébastien Brant
    CS 10413
    F-67412 Illkirch Cedex