Azelle Courtial

Azelle Courtial is a Researcher at Institut Géographique National (IGN), specializing in deep learning applications for cartographic generalization within the MEIG research team (Modélisation des Environnements Inhabités et Généralisation). Her work focuses on multi-scale mapping automation and spatial data representations, with recent contributions in GAN-based mountain road generalization and deep learning benchmark development.

• Education: PhD in Geographic Information Sciences (Université Paris-Est, 2023), Master's in GIS (2019), Licence in Math & Informatics (2017)
• Projects: ERC Consolidator Grant recipient (2021-2026)
• Software: Developer of CartAGen4Py and DeepMapGen libraries

Her publications demonstrate a research trajectory combining

• deep learning for map generalization
• multi-scale cartography principles
• constraint-based evaluation frameworks
• spatial relation modeling in GIS

Scientific recognition includes:

• Best short paper award at AGILE Conference 2022

Teaching contributions span spatial databases, webmapping, and GIS programming, with responsibilities in course material development and student project supervision.