Teaching
2022/2023 (234h eq. TD):
Master MVA : source separation methods for l'astrophysics (12h eq. TD, M2)
IMA 201 : mathematical morphology and basics of image processing (13.5h eq. TD, M1)
IMA 205 : unsupervised learning (29h eq. TD, M1)
IMA 206 : projects in deep learning (8h eq TD, M1)
IMA 207 : hyperspectral imaging (7.5h eq. TD, M1)
IMA 208 : video processing (15h eq. TD, M1)
SI101 : signal processing basics (42h eq. TD, L3)
MDI 111 : analysis (42h eq. TD, L3)
Various classes, projects, continuous teaching...
2021/2022 (16h eq. TD):
Master MVA : source separation methods for l'astrophysics (12h eq. TD, M2)
IMA 201 : mathematical morphology and basics of image processing (13.5h eq. TD, M1)
IMA 205 : unsupervised learning (7h eq. TD, M1)
IMA 206 : projects in deep learning (3h eq TD, M1)
IMA 207 : hyperspectral imaging (9h eq. TD, M1)
IMA 208 : video processing (7.5h eq. TD, M1)
SI101 : signal processing basics (48h eq. TD, L3)
MDI 111 : analysis (41h eq. TD, L3)
Khôlles de mathématiques
Various classes, projects, continuous training...
2020/2021 (90h eq. TD):
IMA 206 : projects in deep learning (5h eq TD, M1)
IMA 207 : hyperspectral imaging (7.5h eq. TD, M1)
IMA 208 : video processing (4.5h eq. TD, M1)
SI101 : signal processing basics (53h eq. TD, L3)
Khôlles de mathématiques
Various classes, projects, continuous training...
2020:
MDI 111/112/113/114: Khôles de mathématiques (examen, L3), Télécom Paris
Probabilités et statistiques (TD, L2), Université de Mons (Belgium)
2019:
Signaux et Systèmes 1 (TP, L3), CentraleSupélec
Informatique et algorithmique avec le langage Python (TD, L1), IUT d'Orsay
Object detection and recognition in videos (projet, années spéciales - L2), IUT d'Orsay
IN 104: Object detection and recognition in videos (projet, L3), ENSTA Paristech
2018:
Object detection and recognition in videos (projet, années spéciales - L2), IUT d'Orsay
During the Master:
Probabilities and Statistics (teaching assistant, L3), Georgia Institute of Technology