Team : BD
Departure date : 01/28/2022

Big Data remains challenging to manage in a consistent and efficient way

Due to its volume, dynamicity and complex structure. In my talk, I will first discuss my research on transaction routing and data migration in distributed cluster infrastructures. Then I will present my contributions on distributed query processing and optimization and their application to reasoning in knowledge graphs and web of science analysis. Finally, I will discuss the perspectives of my work and their extension with machine learning methods.

Defence : 01/28/2022

Jury members :

Florent Masseglia, Directeur de recherche, INRIA [rapporteur]
Pascal Molli ; Professeur, Université de Nantes [rapporteur]
Marta Rukoz, Professeure, Université Paris Nanterre, LAMSADE [rapporteur]
Gabriel Antoniu, Directeur de recherche, INRIA
Pierre Sens, Professeur, Sorbonne Université, LIP6
Karine Zeitouni, Professeure, UVSQ - Université Paris Saclay

Associate Professor

2 PhD students (Supervision / Co-supervision)

  • BAI Yuhe : Graphologies IA: Actionner les méga-graphes de données dans les dataflows d'apprentissage automatique
  • RAHIMI Hamed : Semantization of large-scale scientific corpora - Application to the interactive analysis of the evolution of science

3 PhD graduated 2010 - 2021

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