My Recent Teachings



Intern Supervision during my PhD

The interns mentioned below have successfully completed their internships at the ICube Laboratory, under the direction of Hyewon Seo.


  • Raphaël Denni (First year engineer student at CESI Ecole d'Ingénieurs)
    Subject: "Représentation spectrale des objets 3D pour des modèles d'apprentissage profond"
    January-April 2024
    ICube, University of Strasbourg, France

  • Botao Dai (Master 2 student in Medical Radiophysics at the University of Paris-Saclay)
    Subject: ”Une etude de limpact dosimétrique du changement de forme du sein
    au cours de la radiothérapie à l'aide d'un framework GATE"
    February-August 2023
    ICube, University of Strasbourg, France

  • Minjoo Kim (Bachelor MSH International, Ecole Polytechnique)
    Subject: ”Rigid alignments based on pre-established non-rigid correspondences”
    2021
    ICube, University of Strasbourg, France

  • Irada Bunyatova (Master AI and Advanced Visual Computing, Ecole Polytechnique)
    Subject: ”Learning-based Facial Animation”
    2021
    ICube, University of Strasbourg, France

    • Classes given during my ATER and PhD complementary teaching


    All the classes mentioned below have been completed at the Télécom Physique Strasbourg (TPS) engineering school.

    Projet Ingénieur SDIA (2A-IR TPS)

    January 2024 - January 2025

    SDIA: Science des Données et Intelligence Artificielle

    Moodle link

    Subject:
    Socomec Energy Storage Systems - development of a predictive model for batteries

    Supervision of 4 students for one semester

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    Algorithmique et programmation en C (1A-IR TPS)

    September - December 2023

    Course slides
    Instructions for the TP
    Git instructions for the TP
    Moodle link

    The original content has been developped and shared by Quentin Bramas.

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    Projet programmation C (1A-IR TPS)

    December 2023

    Slides about Git

    Subject:
    Develop a movie recommendation algorithm based on a data set designed for a competition called Netflix Prize.

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    Apprentissage et reconnaissance des formes

    2020 - 2024

    Notions covered:
    Machine learning and pattern recognition, Naive Bayes classification, Feature selection,
    extraction

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    Analyse Numérique

    2020 - 2023

    Notions covered:
    Numbers representation, search for zeros, resolution of linear systems, Numerical Approximation/ Interpolation, ordinary differential equations

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    Statistiques

    2022-2024

    Notions covered:
    Hypothesis testing, Regression, Introduction to Classification and Pattern Recognitio

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    Projet de Mathématiques et Informatique

    2021-2022

    Notions covered:
    Project management on 4 different subjects/groups related to polynomial interpolation/approximation, images processing, and ordinary differential equations

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    Outils Numériques

    2020-2021

    Notions covered:
    MATLAB basic commands and programming (Command window, ”.m” files, Objects,
    Operations, Polynomials, Graph

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