Pascal Frossard

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Full Professor

pascal.frossard@epfl.ch +41 21 693 56 55 http://lts4.epfl.ch/frossard

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EPFL STI IEL LTS4
ELE 241 (Bâtiment ELE)
Station 11
1015 Lausanne

+41 21 693 56 55
+41 21 693 26 01
Office: ELE 241
EPFL > STI > IEM > LTS4

Web site: Web site: https://lts4www.epfl.ch/

+41 21 693 56 55
EPFL > STI > STI-SEL > SEL-ENS

EPFL DCC STI-DO
ELD 241 (Bâtiment ELD)
Station 11
1015 Lausanne

+41 21 693 56 55
Office: BM 4101
EPFL > STI > STI-DEC > STI-DO

Web site: Web site: https://sti.epfl.ch/page-1740.html

+41 21 693 56 55
EPFL > VPA > VPA-FAC > CEAE

+41 21 693 56 55
EPFL > IC > IC-DEC > IC-DO

Web site: Web site: https://ic.epfl.ch/page8797.html

+41 21 693 56 55
EPFL > VPA > AICENTER > AICENTER-GE

+41 21 693 56 55
EPFL > VPA-AVP-CP > SDSC > SDSC-GE

Web site: Web site: https://www.datascience.ch

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Administrative data

Fields of expertise

Graph and Network Signal Processing
Image and Video Processing
Machine Learning and Data Science
Artificial Intelligence

Biography

Pascal Frossard is Professor of Electrical Engineering in the School of Engineering of EPFL, with a courtesy appointment in the School of Computer and Communication Sciences. He is the founder and director of the LTS4 laboratory since 2003, and currently serves as Academic co-Director of the EPFL AI Center, and as Associate Dean for Research of the School of Engineering. Before joining EPFL, he was with the IBM TJ Watson Research Center at Yorktown Heights, NY, USA.
His research interests include machine learning, data science, graph signal processing and network representation learning, image analysis and computer vision, as well as applications of AI in health and science discovery.

Teaching & PhD

Teaching

Electrical and Electronics Engineering

PhD Students

Amiri Mahdi, Bilaloglu Cem, Cappelletti William, Carballo Castro Alba, Charisoudis Athanasios, Chen Haolin, Dimitriadis Nikolaos, Favero Alessandro, Hazimeh Adam, Jung Vincent, Monteiro Lança Madeira Manuel, Pannatier Arnaud, Qin Yiming, Rahmani Abdellah, Senouf Ortal Yona, Wang Ke, Ögüt Sevda,

Past EPFL PhD Students

Aguet Clémentine Léa , Arican Zafer , Bagnato Luigi , Besbinar Beril , Bourtsoulatze Eirina , Cunha Maia Nobre Isabela , D'Aronco Stefano , De Abreu Goes Ana Karina , Dong Xiaowen , Fawzi Alhussein , Ivánkay Ádám Dániel , Karygianni Sofia , Katharopoulos Angelos , Khasanova Renata , Kokiopoulou Effrosyni , Machiraju Harshitha , Maroto Morales Javier Alejandro , Modas Apostolos , Moosavi Dezfooli Seyed Mohsen , Ortiz Jimenez Guillermo , Petric Maretic Hermina , Rossi Mattia , Sepehri Yamin , Simeunovic Jelena , Simou Effrosyni , Srinivas Suraj , Thanou Ntorina , Thirumalai Vijayaraghavan , Tosic Ivana , Tosic Tamara , Vignac Clément Arthur Yvon , Vural Elif , Wagner Jean-Paul , Yüzügüler Ahmet Caner ,

Courses

Signal processing

In this course, we introduce the main methods in signal processing.

Network machine learning

Fundamentals, methods, algorithms and applications of network machine learning and graph neural networks

EECS Seminar: Advanced Topics in Machine Learning

Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.

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