Teaching

École Centrale Nantes, France

Major of engineering degree: DataSIM

(Data science and statistical learning)

Nonsmooth convex optimization - 2022-2025
Lectures on convex optimization and proximal algorithms 4h (Part I, Part II, Part III, Exercices)
Lab session on Covid19 reproduction number estimation via nonsmooth convex optimization 2h (pdf,data)

Signal and Image processing research projects 2022-2025

• Description vs. generation in metric learning, co-supervised with M. Lagrange
• Learning signal representations robust to acquisition modality, co-supervised with V. Lostanlen
• Point processes in machine learning, co-supervised with V. Lostanlen

Biomedical Signals 2022-2023
Lecture on epidemic monitoring 2h (pdf)
Lab session on Covid19 reproduction number estimation via nonsmooth convex optimization 4h (pdf,data)

Master Control and Robotics, Signal and Image Processing

Nonsmooth convex optimization - (2nd year of master) 2022-2025
Lectures on convex optimization and proximal algorithms 4h (Part I, Part II, Part III, Exercices)
Lab session on Covid19 reproduction number estimation via nonsmooth convex optimization 4h (pdf,data)

École Centrale Lille, France

Engineering degree

Measure theory and Lebesgue integration (3rd year of bachelor) 2021-2022
Practical exercises 14h Detailed correction of Exercice 30 (pdf)

Université Claude Bernard Lyon 1, France

Master of Applied Mathematics and Statistics

Nonsmooth convex optimization - (2nd year of master) 2018-2019, 2020-2021
Lectures and numerical implementation (Python) 6h+1h30
From the lecture notes of Nelly Pustelnik
Personal notes and material provided to students:

• Chapter 9: Stochastic optimization (pdf)
• Nonsmooth optimization for denoising (pdf)
• Detailed correction of the course exercises (pdf)
• Total Variation denoising (pdf)
• Note on the Fast Iterative Shrinkage-Threshold Algorithm (pdf)
• Chambolle-Pock algorithm for denoising (pdf)

École Normale Supérieure de Lyon, France

Formation à l’Enseignement, Agrégation et Développement Professionnel

(Master degree for teaching in high school)

Préparation à l’agrégation de mathématiques 2017-2018, 2018-2019, 2019-2020
(Intensive preparation to the french examination for becoming high school teacher)
Correction of lessons during the training for final oral examination 16h

• Training for oral exam
• Supervision and evaluation of the preparation and presentation of lessons

Classes préparatoires à l’enseignement supérieur (CPES)

Mathematics 2017-2018, 2018-2019, 2019-2020
Colles (oral examinations) 28h

Master of Physics, concepts and applications

Signal and image processing - (1st year of master) 2017-2018, 2018-2019, 2019-2020
Practical and numerical implementation (Matlab) 8h

• Autoregressive processes, spectral v.s. parametric estimation
• Optimal filtering
• Non-stationary signals
• Deconvolution and image processing

Bachelor of Physics

Signal processing - (3rd year of bachelor) 2018-2019, 2019-2020
Practical exercises 8h
Notes on: Stationarity of random process (pdf), Cochran theorem (pdf), Spectral estimation and Fast Fourier Transform (pdf)

• Random variables
• Spectral estimation
• Random processes and estimation
• Statistical tests

Introduction to LaTeX - (3rd year of bachelor) 2017-2018, 2018-2019, 2019-2020
Exercises and implementation (Texmaker, Zotero) 6h
Elements of presentation (pdf)

• Create a document
• Insert tables, figures and mathematical formula
• Using BibTeX to generate a bibliography

Master Complex Systems - IXXI

Statistical physics - (2nd year of master) 2017-2018, 2018-2019, 2019-2020
Practical exercises 8h

• Statistical ensembles:
  Microcanonical (subject,correction),
  Canonical (subject,correction)
• Phase transitions: Nematic liquids (subject, correction)
• Disordered systems: Zinc and copper alloy (subject, correction)