Teaching
I have served as a Teaching Assistant for signal and image processing courses at EPFL and IIT Bombay. Also, during my PhD, I have supervised several student projects (Master’s theses, internships, and semester projects) related to the topics of deep learning and computational imaging.
Teaching Assistant
EPFL
-
Image Processing I
-
Image Processing II
IIT Bombay
-
Advanced Topics in Signal Processing
-
Digital Signal Processing
Project Supervision
Master's Theses
-
Maxime Jotterand
Learning 2D Activation Functions for Complex-Valued Neural Networks -
Stanislas Ducotterd
Lipschitz-Constrained Deep Spline Neural Networks -
Sébastien Emery
Deep Learning for Enhanced Ultrasound Image Reconstruction -
Yuxuan Long
Computational Methods for Dynamic Fourier Ptychography
Internships
-
Ayoub El Biari
Characterization of Random Neural Networks As Stochastic Processes -
Paul Margain
High-Resolution Reconstruction in Single-Particle Cryo-EM With a Multiscale Joint Refinement Scheme -
Tina Behnia
Dictionary Learning With SαS Signal and Noise Models
Master Semester Projects
-
Maxime Perret
Posterior Integrals With MCMC for Bayesian Tests -
Sébastien Emery
Lipschitz-Constrained Neural Networks for Plug-and-Play Methods -
Malo Simondin
Benchmarking of Proximal Algorithms for Solving Regularized Inverse Problems -
Louis-Nicolas Douce
Slice-Based Dictionary Learning for Computed Tomography -
Clélie De Witasse
Dictionary Learning for Limited Angle Computed Tomography -
Zhiwei Huang
Benchmarking of Numerical Methods for Inverse Problems