Biography
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).
Interests
- Machine Learning
- Time series
- Collaborative clustering
Education
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PhD in Computer Science, 2021
Université de Haute Alsace
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Msc in Computer Science Engineering, 2014
École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)
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BSc in Computer Science, 2012
Université de Strasbourg
Experience
Associate Professor of Computer Science
- Teaching for BSc and Msc in Computer Science.
- Research on time series clustering.
Lecturer (ATER)
- Teaching for BSc in Computer Science.
- Research on time series clustering.
- Managment of two MSc research projects
PhD candidate
Thesis subject: Constrained Clustering and Deep Learning for time series analysis - applied to incremental approaches and remote sensing time series
Research Engineer
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
Project Manager and Consultant
- 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.
Publications
Quickly discover relevant content by filtering publications.
(2021).
Grad Centroid Activation Mapping for Convolutional Neural Networks.
In ICTAI 2021.
(2021).
End-to-end deep representation learning for time series clustering: a comparative study.
In DMKD.
(2019).
Constrained Distance-Based Clustering for Satellite Image Time-Series.
In JSTAR.
(2019).
Deep constrained clustering applied to satellite image time series.
In ICTAI 2021.
(2019).
Constrained distance based k-means clustering for satellite image time-series.
In IGARSS 2019.
Contact
- lafabregue@unistra.fr
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Télécom Physique Strasbourg
300 bd Sébastien Brant
CS 10413
F-67412 Illkirch Cedex