Khalid Belhajjame

Khalid Belhajjame
Professor of Computer Science
Université Paris Dauphine – PSL
LAMSADE (UMR 7243)

I am a Professor of Computer Science at Université Paris Dauphine – PSL and a member of the LAMSADE research laboratory. My research focuses on data preparation, including data integration, data quality, scientific workflows, data provenance, and knowledge graphs, with applications in life sciences, biomedicine, and biodiversity.

Research Interests

• Data integration and data preparation

• Scientific workflows and computational reproducibility

• Data provenance and lineage

• Knowledge graphs and semantic technologies

• FAIR data and FAIR computational workflows

Current Focus

A significant part of my current research focuses on the management of provenance in scientific workflows and machine learning pipelines, and on the maintenance and management of knowledge graphs.

Academic Roles

• Professor of Computer Science, Université Paris Dauphine – PSL

• Co-head of the Data Science research pole, LAMSADE

• Member of the Doctoral School SDOSE council

• Member of the steering committee of the CNRS GDR MaDICS

• Co-lead of the IEEE GRSS Working Group on Databases and Big Data
  
  

I am actively looking for motivated Master’s and prospective PhD students interested in exploring the interplay between Artificial Intelligence and Data Management, including topics at the intersection of:

• data quality and profiling for AI pipelines,

• data management foundations for machine learning systems,

• provenance, transparency, and reproducibility of AI-driven data workflows,

• knowledge graphs and learning-based methods for data preparation.

Interested students are encouraged to contact me to discuss potential research directions.

Contact

Khalid Belhajjame,

Room P213

Université Paris Dauphine - PSL

Place du Maréchal de Lattre de Tassigny

75775 PARIS Cedex 16

Email: khalid.belhajjame@dauphine.fr