Teaching and monitoring

2022 – CentraleSupélec, Université Paris Saclay

Statistics and machine learning (3rd year students)
Tutorials and Lab sessions.

2022 – Master ATSI, Université Paris Saclay

Covariance-based learning of biomedical signals using Riemannian geometry
Supervision of two students for their research project (2 months).

2021 – IUT Cachan, Université Paris Saclay

Digital signal processing for sensors (2nd year students)
Lab sessions.

2017 - 2020 – Polytech Annecy-Chambéry (School of engineering)

As part of the computer science department, I have taught during my Ph.D several courses, mainly lab sessions and tutorials:

Introduction to algorithmics and programming (1st year students)
Tutorials sessions on programming basics. Python was used in lab sessions. Here is an Python memo example given to students.

Object oriented programming with Python (3rd year students)
Lab sessions: supervision of group projects extending to several sessions (example: building a house in 3D, Minesweeper video game, Roof temperature monitoring system, etc.).

Introduction to signal processing (3rd year), lectures by Philippe Bolon.
In this course, I conducted lab sessions on Signal propagation, Spectral analysis and Digital filtering.

Random signal processing (4th year), lectures by Guillaume Ginolhac.
I supervised three lab sessions on Autocorrelation functions, Spectral analysis and Adaptive filtering.

Image processing (4th year), lectures by Yajing Yan
Lab sessions: Image filtering and 2D correlation with an application to glacier displacement estimation with radar satellite images.
Tutorial: Image correlation.