Florent Masseglia

Senior Researcher, Inria

Head of the Iroko team of Inria

Deputy Scientific Director of Inria for “Perception, Cognition and Interaction”

Research Topics for Environmental Sciences:

  • Data Analytics
  • Big Data and Parallel Data Management
  • Machine Learning for High-Dimensional Data Processing
  • Distributed Data Management

Recent Supervision

Post-Doctoral Fellows

  • Aimie Berger (2024 – ) – Anomaly detection in honeybee time series data
  • Rebecca Salles (2023 – ) – Multivariate Time Series Anomaly Detection
  • Heraldo Borges (2020 – 2021) – Anomaly Detection in Geographic Time Series
  • Tanmoy Mondal (2019 – 2020) – Anomaly detection in Engine Benchmarking Data

PhD Students

  • Guillaume Coulaud (2023 – ) – Anomaly Detection in Big Climate Data
  • Lamia Djebour (Graduated 2022) – Adaptive Segmentation Techniques for Time Series
  • Djamel Edine YAGOUBI (Graduated 2018) – Distributed Time Series Indexing
  • Mehdi Zitouni (Graduated 2018) – Parallel Itemset Mining in Distributed Environments
  • Saber Salah (Graduated 2016) – Parallel Itemset Mining in Large-Scale Distributed Environments

Research Projects

  • DACLIM (2023 – 2026)
    Scalable anomaly detection in large climate databases.
  • INTERSECTION (2024 – 2028)
    Indicators for antibiotic resistance monitoring.
  • Promise (2021 – 2024)
    One Health data platform for antimicrobial resistance analysis.
  • Beerisk (2022 – 2025)
    Analyzing honeybee mortality rates related to pesticide exposure.
  • PerfAnalytics (2021 – 2024)
    AI-based performance analysis for Olympic sports training.

Professional Services

  • Deputy Scientific Director of Inria for “Perception, Cognition and Interaction”
  • Regularly reviewer and committee member for top-tier journals (TKDE, IS, KAIS, DKE, …) and conferences (ICDM, DSAA, PKDD, DS…)
  • Scientific Referent for Science Outreach at Inria from 2016 to 2020

Selected Recent Publications

Contact

📧 Email: florent.masseglia@inria.fr
🏛 Institution: Inria