Nicolas Cheifetz

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

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.

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

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News

• 2021/11: Publication of the paper Anticipation de crues sur la Seine, la Marne et l’Oise pour protéger la production d’eau potable in the french journal Techniques Sciences Méthodes (TSM)
  • Preselection of the paper in the peer-reviewed TSM journal for the Prix des lecteurs 2021. Vote before May 15, 2022
• 2021/09: Presentation of two papers
  • Anticipation de crues en rivière pour protéger la production d'eau potable (in french)
  • Prévision de polluant en rivière pour protéger la production d’eau potable (in french)

• 2021/06: Publication of the paper Online common change-point detection in a set of nonstationary categorical time series in the journal Neurocomputing
• 2021/04: Presentation of the paper Partitionner un réseau de distribution d'eau potable en différentes zones de qualité d'eau (in french) at the 22nd congress of ROADEF 2021 that will be held from 26th to 30th of April 2021 online and is organized by the IRIMAS Laboratory of the University of Haute-Alsace (France).
• 2020/02: Presentation of the paper Prévision de la performance d'abattement de micropolluants sur un filtre à charbon actif d'une usine de production d'eau potable (in french) at the 13th congress of GRUTTEE 2020 that will be held from 18th to 20th of February 2020 at ENSCR, Rennes (France).
• 2019/12: Presentation of the paper Consensus Partitioning in a Water Distribution Network based on Substance Propagations at the 8th International Conference on Complex Networks and their Applications (Complex Networks 2019) that will be held from 10th to 12th of December 2019 at Lisbon (Portugal).
• 2019/11: Presentation of the paper Graph Clustering for Quality Event Detectors in a Large Water Distribution Network at the 10th Conference on Network Modeling and Analysis (MARAMI 2019) that will be held from 6th to 8th of November 2019 at Dijon (France).
• 2019/10: Publication of the paper Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences in the journal ACM Transactions on Intelligent Systems and Technology (TIST)
• 2019/06: Presentation of the paper Water level short-term forecasting using statistical approaches: a case study on the Parisian region at the 5th International SimHydro Conference that will be held from 12th to 14th of June 2019 at Polytech Nice Sophia (School of Engineering) in Sophia Antipolis technopark, near Nice and Cannes (French Riviera).
• 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

• 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 (IEEE 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)
• 2017/10: Publication of the paper Predictive classification of water consumption time series using non-homogeneous markov models at the International Conference on Data Science and Advanced Analytics (IEEE DSAA 2017).
• 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

• 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

• 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.