DABO Sékou
Ph.D Candidate
Member of team :
DATA&AI
Lieu :
ENSEA
Phone :
Biography
After completing my Master’s in AI & Data Science at Mundiapolis University (Morocco) in 2024, I moved to France to pursue a PhD at CY Cergy Paris Université. My thesis sits at the crossroads of explainable AI and remote sensing: I work on making deep learning models more transparent when analyzing satellite image time series for crop mapping – a problem that matters for food security, precision agriculture, and the trust we place in automated systems.
Research activities
- Machine Learning
- Explainable AI (XAI)
- Data Science
- Designing transparent AI systems (Unboxing, Privacy, Security)
Ongoing projects
ANR Project (thesis):
Explainability of Deep Learning Models Applied to Satellite Image Time Series for Crop Mapping
Publications dans Hal