I am currently a data scientist at Veolia Eau d'Ile-de-France solving problems related to the production and distribution of drinking water.

I have completed my PhD thesis in change-point detection and data analysis at Ifsttar / Grettia and Veolia Environnement Research & Innovation. This PhD work was done under the supervision of Patrice Aknin and Allou Samé from Ifsttar.

My research interests mainly involve industrial diagnosis, change-point detection, sequential hypothesis testing, segmentation of functional data, finite mixture models and EM-like algorithms in unsupervised and semi-supervised learning.

Thesis: Detection and classification of temporal CAN signatures to support maintenance of public transportation vehicle subsystems



  • 2018/07: Presentation of the two papers
    • A comparative study of multi-objective methods for sensor placement optimization applied on realistic WDN
    • Forecasting pollutant concentration in river to protect drinking water production
at the 1st International WDSA / CCWI Joint Conference (WDSA / CCWI 2018) organized by the Queen's University and the Royal Military College. It takes place in Kingston, Ontario (CA) from 23rd to 25th July 2018.
  • 2018/07: Publication of the paper Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series at the International Joint Conference on Neural Networks (IJCNN 2018).
  • 2017/11: Publication of the paper Un algorithme glouton pour le positionnement de capteurs qualité sur un grand réseau de distribution d'eau in the french journal Techniques Sciences Méthodes (TSM)
  • 2017/09: Presentation of the two papers
    • Extracting Temporal Patterns for Contamination Event Detection in a Large Water Distribution System
    • Augmented Resilience of Water Distribution Systems following Severe Abnormal Events
at the 15th international Computing and Control for Water Industry conference (CCWI 2017) organized by the universities of Brunel, De Montfort, Exeter, Imperial College and Sheffield. It takes place in Sheffield (UK) from 5th to 7th September 2017.
  • 2017/08: Publication of the paper Modeling and clustering water demand patterns from real-world smart meter data in the journal Drinking Water Engineering and Science (DWES)
  • 2017/04: Presentation of the paper Extracting urban water usage habits from smart meter data: a functional clustering approach at the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017) organized by the Univ. Cath. de Louvain (Machine Learning Group). It takes place in Bruges (BL) from 26th to 28th April 2017.
  • 2016/11: Presentation of the two papers
    • Modeling and Clustering Water Demand Patterns from Real-World Smart Meter Data
    • ResiWater: A Franco-German Project for Augmented Resilience of Water Distribution Systems following Severe Abnormal Events
at the 14th international Computing and Control for Water Industry conference (CCWI 2016) organized in Amsterdam (NL) from the 7th - 9th November, 2016.
  • 2016/01: Presentation of the paper Décomposition et classification de données fonctionnelles pour l'analyse de la consommation d'eau at the workshop Clustering and Co-clustering (CluCo 2016) at the french conference Extraction et Gestion des Connaissances (EGC) (EGC 2016) organized by the University of Reims (FR) from the 18th - 22nd January 2015.
  • 2015/12: Presentation of the paper Forecasting Quality of Raw Water to Optimize Drinking Water Production at the International Conference Water, Megacities and Global Change (Eaumega 2015) organized by ARCEAU IdF and devoted to the theme of water in megacities. It will be hosted by UNESCO in its Paris HQ, 2015 - December 1st to 4th, during the first week of the COP21.
  • 2015/10: Presentation of the poster Décomposition et clustering de données fonctionnelles pour l'analyse de la consommation d'eau potable (french) at the Clustering day workshop (Clustering 2015) hosted by Orange Labs in Issy Les Moulineaux (FR) on the October 20th 2015.
  • 2015/09: Presentation of the paper An Incremental Sensor Placement Optimization in a Large Real-World Water System at the 13th Computer Control for Water Industry (CCWI2015) conference (CCWI 2015) organized by De Montfort University in collaboration with the University of Exeter and the University of Sheffield. It takes place in Leicester (UK) from the 2th - 4th September 2015.
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