Teaching

  • 2019-2020
  • Modelling and Optimization in Machine Learning: Exercises classes and labworks (Polytech Nice MAM4/EIT Digital)
  • Tensor Decompositions (3 classes - M2 Data Science)                                                      Moodle's link
  • Signals and Systems: Classes, exercises classes and labworks (Polytech Nice PeiP2)       Moodle's link
  • Augmented Reality: Classes and exercises classes (Polytech Nice MAM4/SI4)                   Moodle's link
  • Introduction to Machine Learning: Classes and labworks (first 3 classes - EUR DS4H)          Moodle's link
  • Projects (Polytech Nice MAM4)
Proposed subjects: Decompositions of a Small Tensor
  • 2018-2019
  • Big Data Technologies: Labworks (M1/M2 EIT Digital)
  • Signals and Systems: Classes, exercises classes and labworks (Polytech Nice PeiP2)
  • Augmented Reality: Classes and exercises classes (Polytech Nice MAM4/SI4)                 
  • Introduction to Machine Learning: Classes and labworks (first 3 classes - EUR DS4H)
  • Projects (Polytech Nice MAM4)
Proposed subjects: Multidimensional Data Compression using Quantization of Low-Rank Tensor Models
                   Data Visualization using the Distance Correlation
  • 2017-2018
  • Big Data Technologies: Labworks (M2 EIT Digital)
  • Large-scale Distributed Computing Systems: Labworks (M1/M2 EIT Digital)
  • Signals and Systems: Exercises classes and labworks (Polytech Nice PeiP2)
  • Augmented Reality: Classes and exercises classes (Polytech Nice MAM4/SI4)
  • Projects (Polytech Nice MAM4)
Proposed subjects: Movie recommandation with matrices and tensors (in French)
                             Development of a python module for tensor decompositions (in French)
                             Concepts visualization with google similarity metric (in French)
  • Final year project (M2 EIT Digital):
Proposed subject: Tensor and matrix factorizations in python: application to recommender systems
  • 2016-2017
  • Machine Learning for Big Data: Classes and exercises classes (Polytech Nice SI4)
  • Augmented Reality: Classes and exercises classes (Polytech Nice MAM4)
  • Data processing and statistics: Exercises classes (Polytech Nice SI3)
  • 2011-2013 (during PhD)
  • Mathematics: Exercises classes (ENSE3 1st year)
  • Digital transmission systems: Labworks (M2 CSE ENSIMAG)
  • Français