

ZENITH Team
Scientific Data Management
Staff
Esther Pacitti, Professeur des universités, UM
Florent Masseglia, Directeur de recherche, INRIA
Alexis Joly, Directeur de recherche, INRIA
Antoine Liutkus, Chargé de recherche, INRIA
Reza Akbarinia, Chargé de recherche, INRIA
Patrick Valduriez, Directeur de recherche, INRIA
Jean-Christophe Lombardo, Ingénieur de recherche, INRIA
Associates & Students
Lamia Djebour, Gouv. Algérien
Tanguy Lefort, UM
Joaquim Estopinan, INRIA
Camille Garcin, UM
Quentin Leroy, INA (Institut National de l’Audiovisuel)
Benjamin Deneu, INRIA
Regular Co-workers
Shamprikta Mehreen, CDD Ingénieur-Technicien, INRIA
Mathias Chouet, CDD Ingénieur-Technicien, INRIA
Titouan Lorieul, CDD Chercheur, INRIA
Pierre Leroy, CDD Ingénieur-Technicien, INRIA
François Munoz, Invité longue durée Chaire INRIA, INRIA
Hugo Gresse, CDD Ingénieur-Technicien, INRIA
Baldwin Dumortier, CDD Chercheur, UM
Cathy Desseaux, CDD Ingénieur-Technicien, INRIA
Ondrej Cifka, , UM
Antoine Affouard, CDD Ingénieur-Technicien, INRIA
Our approach is to capitalise on the principles of distributed and parallel data management. In particular, we exploit: high-level languages as a basis for data independence and automatic optimisation; data semantics to improve information retrieval and automate data integration; declarative languages (algebra, calculus) to manipulate data and workflows; and highly distributed and parallel environments such as P2P, cluster and cloud. To reflect our approach, we organise our research programme into five complementary themes:
- Data integration, including polystores;
- Query processing, including indexing and privacy; and
- Management of scientific workflows;
- Data analysis, including data mining and statistics;
- Machine learning for high-dimensional data processing and retrieval.