Jean-Marc Odobez

Senior Scientist

jean-marc.odobez@epfl.ch +41 21 693 16 38

EPFL STI IEL LIDIAP
ELE 131 (Bâtiment ELE)
Station 14
CH-1015 Lausanne

+41 21 693 16 38
Office:  ELE 131
EPFL > STI > IEM > LIDIAP

Web site:  Web site:  https://idiap.epfl.ch/

EPFL AVP-PGE EDEE-ENS
ELB 112 (Bâtiment ELB)
Station 11
CH-1015 Lausanne

Office:  ELB 112
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDEE-ENS

EPFL STI SEL-GE
ELB 110 (Bâtiment ELB)
Station 11
CH-1015 Lausanne

Office:  ELB 110
EPFL > STI > STI-SEL > SEL-ENS

vCard
Administrative data

Teaching & PhD

Teaching

Electrical and Electronics Engineering

PhD Programs

Doctoral Program in Electrical Engineering

PhD Students

Bittar Alexandre Samuel Philippe, Boghetti Roberto, Fritsch Julian David, Girgin Hakan, Gupta Anshul, Hermann Enno, Ramírez Atrio Alejandro, Sarkar Eklavya, Tafasca Samy, Tarigopula Neha, Vuillecard Pierre François Marie,

Past EPFL PhD Students

Ba Silèye Oumar , Can Gülcan , Da Silva Quelhas Pedro Manuel , Funes Mora Kenneth Alberto , He Weipeng , Heili Alexandre , Jaques Christian , Kulak Thibaut Antoine , Lathoud Guillaume , Le Do Hoang Nam , Lembono Teguh Santoso , Mariani Olivia , Martinez Gonzalez Angel Noe , Roman Rangel Edgar , Sheikhi Samira , Siegfried Rémy Alain , Varadarajan Jagannadan , Yu Yu ,

Courses

Machine Learning for Engineers

The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done in python using jupyter notebooks.

Perception and learning from multimodal sensors

The course will cover different aspects of multimodal processing (complementarity vs redundancy; alignment and synchrony; fusion), with an emphasis on the analysis of people, behaviors and interactions from multimodal sensor, using statistical models and deep learning as main modeling tools.