Nadir Guermoudi

Nadir Guermoudi serves as an ATER (Attaché Temporaire d'Enseignement et de Recherche) in Data Engineering at ISAE-ENSMA, France. His institutional affiliations include:

• ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotéchnique) in Chasseneuil
• LIAS Laboratory (joint unit with University of Poitiers) operating at both ISAE-ENSMA and ENSIP (École nationale supérieure d'ingénieurs de Poitiers) campuses

His research centers on data engineering with emphasis on machine learning applications for spatial database systems. Key focus areas include:

• Machine learning integration in database optimizers
• Spatial query processing and indexing
• Selectivity estimation techniques
• Geospatial data management solutions

His recent WISE 2024 publication demonstrates a significant trend in applying machine learning to traditional database optimization challenges, particularly for spatial filters where conventional methods struggle with complex data distributions. This work bridges spatial data management and AI-driven query optimization.

Scientific Awards:

No awards or fellowships were documented in the source material.

Advising and Grants:

No information regarding student supervision, research grants, or funding sources was provided in the available documentation.

Labs and Teams:

He actively participates in the Data Engineering research team within LIAS laboratory, a collaborative unit spanning ISAE-ENSMA and University of Poitiers, focusing on advanced data management systems and optimization techniques.