Pierre Vandergheynst

EPFL E E-EBM EBM
CE 3 304 (Centre Est)
Station 1
CH-1015 Lausanne

EPFL E E-VP VPE
CE 3 304 (Centre Est)
Station 1
CH-1015 Lausanne

EPFL STI IEL LTS2
ELE 235 (Bâtiment ELE)
Station 11
CH-1015 Lausanne

EPFL IC IC-DEC IC-DO

EHE FOND-PART FOND-SUBVENT FCUE

Unit: FCUE

EPFL E E-EBM CDS

Web site: http://cds.epfl.ch/
Unit: CDS

EPFL E E-DOC CDOCT

Unit: CDOCT

Administrative data

Fields of expertise

data science
machine learning
computational harmonic analysis
inverse problems
compressive sensing
computer vision

Publications

Teaching & PhD

Teaching

  • Electrical and Electronics Engineering,

PhD Programs

  • Doctoral program in computer and communication sciences
  • Doctoral Program in Electrical Engineering

PhD Students

Courses

A network tour of data science

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Doctoral Program in Electrical Engineering, 2018-2019, language : english
MINEUR, 2018-2019, Autumn semester, language : english
Management of Technology and Entrepreneurship, 2018-2019, Master semester 1, language : english
Management of Technology and Entrepreneurship, 2018-2019, Master semester 3, language : english
Section of Communication Systems, 2018-2019, Master semester 1, language : english
Section of Communication Systems, 2018-2019, Master semester 3, language : english
Section of Electrical and Electronical Engineering, 2018-2019, Master semester 1, language : english
Section of Electrical and Electronical Engineering, 2018-2019, Master semester 3, language : english
Section of Microtechnics, 2018-2019, Master semester 1, language : english
Section of Microtechnics, 2018-2019, Master semester 3, language : english

Signals and systems II (for MT)

This course is an introduction to the theory of discrete linear time invariant systems. Their properties and fundamental characteristics are discussed as well as the fundamental tools that are used to study and design them (Fourier transform, Z transform)... goto

Section of Microtechnics, 2018-2019, Bachelor semester 6, language : french
Section of Microtechnics, 2018-2019, Spring semester, language : french

Signals and systems II (for SV)

This course is an introduction to the theory of discrete linear time invariant systems. Their properties and fundamental characteristics are discussed as well as the fundamental tools that are used to study and design them (Fourier transform, Z transform)... goto

Section of Life Sciences Engineering, 2018-2019, Bachelor semester 6, language : french

Research

Topics

Data nowadays come in overwhelming volume. In order to cope with this deluge, we explore and use the benefits of geometry and symmetry in higher dimensional data. But volume is not the only problem: data models are also increasingly complex, mixing various components. We thus use sparse representations and dictionaries as dimensionality reduction tools to dig out information from complicated high-dimensional datasets and multichannel signals, or to model complex behaviours in more classical signals. Finally data can also be complex because they are collected on surfaces, or more generally manifolds, or because they are not scalar-valued. We thus explore extensions of Computational Harmonic Analysis in higher dimensions, in complex geometries, on graphs, networks or for non-scalar data.