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MME KARINE BENNIS - ZEITOUNI 

PROFESSEUR(E) DES UNIVERSITES
Directrice adjointe à la formation de la Graduate School Informatique et Sciences du Numérique (GS ISN) ; Responsable de l'équipe ADAM du laboratoire DAVID

Coordonnées

45 Avenue des Etats-Unis 78035 Versailles Cedex

Secrétariat
0139254056
Adresse mail
karine-[dot]-zeitouni[at]uvsq-[dot]-fr
Autre adresse mail
karine.zeitouni[at]unversite-paris-saclay[dot]fr
Site internet
https://pages.david.uvsq.fr/kzeitouni/

Discipline(s)

Informatique

Discipline(s) enseignée(s)

Bases de données
Nouveaux paradigmes de bases de données
Analyse de masses de données de mobilité
Exploitation et fouille de données

Thèmes de recherche

Science des données
Gestion de données spatio-temporelles
Fouille de données temporelles et de trajectoires
Apprentissage automatique
Analyse de données issues de capteurs et de l'internet des objets
 

Activités / CV

Mes travaux publiés sont référencés dans HAL, DBLP  et Scholar.

Informations complémentaires

Bio

Karine Zeitouni is a Professor in Computer Science at the Technical Institute of Technology of Vélizy – UVSQ –  Université Paris-Saclay. She received her Ph.D. in Computer Science from the University of Pierre et Marie Curie (Paris VI), and her HDR (qualification for supervising research) from the University of Versailles. Unil June 2025, she was Deputy Director of the Graduate School of Computer Science (GS ISN) and led the ADAM group (now DAC) at DAVID laboratory. Her primary research interests include databases, big data, and data mining, with a particular focus on spatial and temporal data. She applies her research to fields such as transportation, environmental science, astrophysics, and health. Throughout her career, she has supervised 16 Ph.D. students and has co-authored over 120 peer-reviewed journal and conference papers. Her research is funded through national grants, multi-partner projects, European, and bilateral collaboration programs. She regularly serves as a PC member in international conferences related to spatial databases and data mining, machine learning, and she reviews articles for various national and international journals in these fields. She has co-chaired several national and international conferences and workshops.

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