Karine Zeitouni

Professor

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. She is Deputy Director of the Graduate School of Computer Science (GS ISN) 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.

Equipe

Contact

DAVID Lab. / UVSQ

Campus Sciences – Versailles

Bâtiment Descartes – Bureau 304

email: karine dot zeitouni at uvsq dot fr

Phone: +33 (0)1 39 25 40 46

Linkedin

ORCID

Research Interest

 

Spatio-Temporal Databases and Data Mining                                                                                    

  • Modeling and Querying Traces of Moving Objects and Sensors
  • Spatio-Temporal Indexing
  • Distributed Query Processing for Big Spatial Data
  • Trajectory Data Mining
  • Location Privacy in Personal Data Protection
  • Spatial Graph Data Integration and Routing

Advanced Analysis of Time Series                                                                                                        

  • Mobile Sensor Data Handling
  • Open Data Integration and Enrichment
  • Complex Event Processing
  • Multi-variate Time Series Pattern Mining

Graduate students Curriculum

    • Data mining
    • Spatio-Temporal Data Management and Mining

Undergraduate students Curriculum (at the University Institute of Technology)

    • Database Programming and Administration

    • Software Engineering – Model and Design Principles

    • New paradigms of data management
External links: DBLP, Google Scholar, ORCID,
HAL

News: Our paper entitled « How opportunistic mobile monitoring can enhance air quality assessment? » is now published online in GeoInformatica: https://rdcu.be/dF5oi

Ongoing projects 

  • i-RECORDS: International Rapid rEcognition of CS sensitive or resistant Sepsis, H2020 ERA PerMed Project, May 2022 – Apr. 2025, Led by APHP involving partners from 4 countries.
  • RECORDS: Rapid rEcognition of CS sensitive or resistant Sepsis, ANR Project in the RHU Investments for the Future program, Feb. 2020 – Feb.2025, Led by the APHP (Assistance Publique des Hôpitaux de Paris), France
  • GO GREEN ROUTES: Resilient Optimal Urban natural, Technological and Environmental Solutions, H2020-SC5-2018-2019-2020, in Topic : SC5-14-2019 – Visionary and integrated solutions to improve well-being and health in cities. Sep. 2020 – Aug. 2023. Led by the University of Limerick/Ireland.

Recent projects:

  • MASTER Multiple ASpects TrajEctoRy management and analysis, Mar. 2018-Dec. 2023  funded under the call H2020-MSCA-RISE-2017
  • POLLUSCOPE – Participative observatory for the surveillance of individual exposure to air pollution relating to health, Sept 2016-Dec. 2022. Principal Investigator. Funded by the National Research Agency (ANR) under grant ANR-15-CE22-0018  
  • StreamOps Open Source Platform for Research and Integration of Algorithms for Massive Time Series Flow Analysis, Sep. 2018 – Mar. 2022. Co-PI with CEA-LIST. Funded by the DATAIA Convergence Institute.
  • ACE-ICSEN Adaptation to Environmental Changes: a multiscale and transdisciplinary approach, Mar. 2017-Dec. 2021. Funded by Université Paris-Saclay
  • BigSkyEarth A Big Data Era in Earth and Sky Observation, European Cooperation in Science and Technology, COST Action TD1403
  • TEMPOGRAPHS Analyzing big data with Temporal Graphs and machine learning: application to urban traffic analysis and protein function annotation, Mar. 2018-Feb. 2021, France-Brazil Cooperation Project, CNRS/INRIA – FAPs
     
  • MASTODONS GAIA The origin and the evolution of our Galaxy: data validation, 2012-2015, CNRS
  • KISS – Keep your Information Safe and Secure, Déc. 2011-Nov. 2015. Funded by ANR.

Access to the main prototypes (open source):

  • ASTROIDE  A Unified Astronomical Big Data Processing Engine over Spark. Co-funded by the University of Versailles Saint-Quentin (UVSQ) and the Centre National d’Etudes Spatiales (CNES). 
  • autoCEP: Automatic Learning of Predictive CEP Rules. Funded by the LABEX PATRIMA, Fondation des Sciences du Patrimoine, under the project PAC-ART.

Prof. Karine Bennis Zeitouni

Editorial activity

  • Associate Editor of the Journal ACM Transactions on Spatial Algorithms and Systems (TSAS)

Organizing committees

Latest Program Committees

  • SSTD 2025, 19th Symposium on Spatial and Spatio-Temporal Data
  • BMDA@EDBT/ICDT 2025, 7th International Workshop on Big Mobility Data Analytics.
  • SIGSPATIAL 2024, 
  • 32nd ACM SIGSPATIAL Conference.
  • MDM 2024 – 25th IEEE International Conference on Mobile Data Management.
  • MulTiSA@ICDE 2024, 1st Workshop on Multivariate Time Series Analytics.
  • SIMBig 2024, 11th International Conference on Information Management and Big Data.
  • BDA 2023 – 39èmes conférence sur la Gestion de Données – Principes, Technologies et Applications
  • MDM 2023 – 24th IEEE International Conference on Mobile Data Management
  • BMDA@EDBT 2023, 5th International Workshop on Big Mobility Data Analytics
  • SIGSPATIAL 2022 30th ACM SIGSPATIAL Conference
  • BDA 2022 – 38èmes conférence sur la Gestion de Données – Principes, Technologies et Applications
  • ICDE 2021, 37th IEEE International Conference on Data Engineering
  • EDBT 2021, 24th International Conference on Extending Database Technology
  • AAAI 2021, 35th AAAI Conference on Artificial Intelligence
  • SIGSPATIAL 2021 – 29th ACM Conference on Advances in Geographic Information Systems
  • MDM 2021 – 22nd IEEE International Conference on Mobile Data Management
  • SSTD 2021, International Symposium on Spatial and Temporal Databases
  • BMDA@EDBT 2021, International Workshop on Big Mobility Data Analytics
  • BDS 2021, 7h International Conference on Big Data Service and Applications