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/

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EPFL > STI > STI-SEL > SEL-ENS

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Administrative data

Teaching & PhD

Teaching

Electrical and Electronics Engineering

PhD Programs

Doctoral Program in Electrical Engineering

PhD Students

Bittar Alexandre Samuel Philippe, Boghetti Roberto, Fabien Maël, Fritsch Julian David, Girgin Hakan, Gupta Anshul, Hermann Enno, Kulak Thibaut Antoine, Lembono Teguh Santoso, Martinez Gonzalez Angel Noe, Ramírez Atrio Alejandro, Sarkar Eklavya, Siegfried Rémy Alain, Tafasca Samy, Tarigopula Neha,

Past EPFL PhD Students

Ba Silèye Oumar , Can Gülcan , Da Silva Quelhas Pedro Manuel , Funes Mora Kenneth Alberto , He Weipeng , Heili Alexandre , Jaques Christian , Lathoud Guillaume , Le Do Hoang Nam , Mariani Olivia , Roman Rangel Edgar , Sheikhi Samira , 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.