Karine Bennis Zeitouni, Professor, UVSQ – Paris-Saclay University, France


Karine Zeitouni is a Professor in Computer Science at the Technical Institute of Technology of V√©lizy – UVSQ –  Universit√© 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. She is Deputy Director of the Graduate School of Computer Science since March 2021. She is heading the Ambient Data Access and Mining (ADAM) group at DAVID laboratory. Her main research interest lies in databases, big data and data mining, with a focus on spatial and/or temporal data. She mainly applies her research in the fields of transportation, environment, universe science, and health. She has supervised 16 graduate Ph.D. students. She has co-authored over 120 peer-reviewed journal and conference papers. Her research is funded by national grants and multi-partner projects, bilateral research collaboration programs, and the European Union’s Horizon 2020 research and innovation program. She regularly serves as a PC member in international conferences in the field of (spatial) databases and data mining, machine learning and as a reviewer for national and international journals in these domains. She has (co-)chaired several conferences and workshops national and international wise.

News & Events

SSTD 2023 – The 18th International Symposium on Spatial and Temporal Data 2023 will be held in Calgary, Alberta, Canada, 23-25 August 2023.

IEEE MDM 2022 Conference will take place online (June 6 – 9) and offers free Registration.

A new campaign of Environmental Crowd Sensing in Polluscope project has been launched (-> Nov 2022)

 Last Ph.D. Proposal – here



email: Karine dot zeitouni at uvsq dot fr