Resume

Photograph of the Beaulieu campus of the University of Rennes 🄍 Photograph. Anthony CARRÉ. 2014. https://commons.wikimedia.org/

Bienvenue

I am currently an engineer and a Ph.D. student at the University of Rennes. My thesis is the result of a collaboration between the Institut de Recherche en Informatique et Systèmes Aléatoires - UMR 6074 (Institute for Research in Computer Science and Random Systems) (IRISA) and the private company Keolis Rennes, which operates urban public transport in the Rennes metropolitan area under a public service delegation contract

Since 2021, I'm officially a graduate engineer of the École d'Ingénieurs du Littoral Côte d'Opale (Littoral Côte d'Opale Engineering School) of the Université du Littoral Côte d'Opale (University of Littoral Côte d'Opale) after obtaining a "general" engineering degree in computer science.

Now I'm doing a Ph.D. in computer science at the University of Rennes. My thesis topic is "Machine learning for the analysis and prediction of urban bus transport service quality". The main objectives are to understand and determine the impacting factors of the quality of service of public bus transport networks, and to be able to predict this quality using Machine Learning and Deep Learning techniques.

I would like to pursue a career as a teacher-researcher in a university, an ambition that has blossomed since my years in the Classe Préparatoire aux Grandes Écoles (Higher School Preparatory Classe), motivating me to go on in the field of education and research.

Voilà !

Education

Since February 2022
Ph.D.
Computer Science speciality.
University of Rennes.
Rennes. France.
2021
Engineering degree in Computer Science.
Software Engineering and Data Science minor.
École d’Ingénieurs du Littoral Côte d’Opale (Engineering school).
Calais. France.
From September 2016 to July 2018
Higher School Preparatory Classes in Industrial Technology and Science (CPGE).
Industrial Technology and Science (TSI).
Lycée de Cachan (High School).
Cachan. France.
2016
Technological high school baccalaureate in Science and Technology for Industry and Sustainable Development (STI2D)
Information and Digital Systems option (SIN).
Lycée Edmond Michelet (High School).
Arpajon. France.

Research Interests

Actuals

  • Data Science
  • Machine Learning
  • Deep Learning
  • Graphs
  • Temporal Data and Time Series

Pasts

  • Urban Public Transport

Experience

Since November 2025
Postdoctoral researcher
Institut d’Électronique et des Technologies du numéRique (UMR CNRS 6164).
Rennes. France.
From February 2022 to February 2025
Institut de Recherche en Informatique et Systèmes Aléatoires (UMR 6074).
Rennes. France.
From October 2021 to February 2025
Keolis Rennes .
Rennes. France.
From June 2020 to August 2020
UMR 7194 - Histoire Naturelle de l’Homme Préhistorique.
Paris. France.
From June 2019 to August 2019
SPRB - Bruxelles Fiscalité.
Brussels. Belgium.

Publications

Conference

  • Lefebvre, A., Grassi, K., Bigand, A., Chatelain P. Vincent.E et al. (2021, November 2-5). Caractérisation de la dynamique du phytoplancton, des événements récurrents aux événements extrêmes, grâce au Machine Learning [Conference presentation]. Colloque EVOLECO - Evolution à Long terme des Ecosystèmes Côtiers, La Rochelle, France. HAL ref : hal-03444190. HAL link : https://hal.science/hal-03444190v1.

Poster

Software / Source Code / Package

  • Poisson-Caillault, E., Lefebvre, A., Vincent, E., Hebert, P-A.. (2021, August 23). sClust: R Toolbox for Unsupervised Spectral Clustering. R package version 1.0. The Comprehensive R Archive Network (CRAN). https://CRAN.R-project.org/package=sClust.

Enseignements

Traineeship

2022

  • Camara, N. J. (mai - aout 2022)

    Co-supervision : Zoltan Miklos

    Degree : ISTIC - University of Rennes 1 | Master 2 MIAGE

    Suject : Process automation of the collection and analysis of data gathered from the STAR Network's OpenData.

2021

  • Poulain, A. (avril - juin 2021)

    Co-supervision : Emilie Poisson-Caillault

    Degree : IUT du Litoral Côte d'Opale | 2nd year of DUT informatique

    Suject : Developing a R Shiny web application - Viewing files from marine surveys and warning of corrupted or aberrant files.

  • Zinsou, F. (juin - août 2021)

    Co-supervision : Emilie Poisson-Caillault

    Degree : Ecole d'Ingénieur du Littoral Côte d'Opale | 2nd year of the engineering program (4th year of university)

    Suject : Development of a graphical interface for the sClust Web application using R Shiny.

Teaching

Year(s) Courses Location Level Hours
2022 Databases and Business Intelligence University of Rennes 1 Master 1 MIAGE 22 h Tutorials / Practical work
2021 Tutoring and educational support University of Littoral Côte d’Opale Bachelor's degree 1 and 2 of Mathematics & Computer Science 16 h Lectures / Tutorials