Michaël Unser

Full Professor

michael.unser@epfl.ch +41 21 693 51 75 http://bigwww.epfl.ch/unser/index.html

EPFL STI SMT-GE
BM 1136 (Bâtiment BM)
Station 17
CH-1015 Lausanne

+41 21 693 51 75
Office:  BM 1136
EPFL > STI > STI-SMT > SMT-ENS

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

+41 21 693 51 75
Office:  BM 4136
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDEE-ENS

EPFL STI IMT LIB
BM 4136 (Bâtiment BM)
Station 17
CH-1015 Lausanne

+41 21 693 51 75
+41 21 693 11 85
Office:  BM 4136
EPFL > STI > IEM > LIB

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

EPFL SB SMA-GE
MA A2 403 (Bâtiment MA)
Station 8
CH-1015 Lausanne

+41 21 693 51 75
Office:  MA A2 403
EPFL > SB > SB-SMA > SMA-ENS

EPFL CIBM-SP
CH F0 622 (Bâtiment CH)
Station 6
CH-1015 Lausanne

+41 21 693 51 75
Office:  BM 4136
EPFL > VPA > VPA-AVP-CP > CIBM > CIBM-SP

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

EPFL SV SSV-GE
SG 1310.3 (Bâtiment SG)
Station 15
CH-1015 Lausanne

+41 21 693 51 75
Office:  SG 1310.3
EPFL > SV > SV-SSV > SSV-ENS

Web site:  Web site:  https://sv.epfl.ch/education

EPFL IMAGING
BM 4142 (Bâtiment BM)
Station 17
CH-1015 Lausanne

+41 21 693 51 75
Office:  BM 4136
EPFL > VPA > VPA-AVP-CP > IMAGING > IMAGING-GE

vCard
Administrative data

Fields of expertise

Image Processing Medical Imaging Biological Imaging Wavelets Splines Multiresolution

Teaching & PhD

Teaching

Microengineering

Mathematics

PhD Programs

Doctoral Program in Photonics

Doctoral Program in Electrical Engineering

PhD Students

Aziznejad Shayan, Bohra Pakshal Narendra, Debarre Thomas Jean, Ducotterd Stanislas, Goujon Alexis Marie Frederic, Liu Yan, Pham Thanh-An Michel, Pourya Mehrsa,

Past EPFL PhD Students

Aguet François , Arigovindan Muthuvel , Badoual Anaïs Laure Marie-Thérèse , Baritaux Jean-Charles , Bostan Emrah , Bourquard Aurélien , Chaudhury Kunal Narayan , Dehghani Tafti Pouya , Delgado Gonzalo Ricard , Donati Laurène , Fageot Julien René Pierre , Feilner Manuela , Guerquin-Kern Matthieu , Gupta Harshit , Horbelt Stefan , Jacob Mathews , Jonic Slavica , Kamilov Ulugbek , Khalidov Ildar , Kybic Jan , Liebling Michael Stefan Daniel , Luisier Florian , Munoz Barrutia Maria Arrate , Nilchian Masih , Pad Pedram , Püspöki Zsuzsanna , Ramani Sathish , Schmitter Daniel Andreas , Sühling Michael , Uhlmann Virginie Sophie , Vonesch Cédric René Jean ,

Courses

Sparse stochastic processes

We cover the theory and applications of sparse stochastic processes (SSP). SSP are solutions of differential equations driven by non-Gaussian innovations. They admit a parsimonious representation in a wavelet basis and are relevant to coding, compressed sensing, and biomedical imaging.

Essentials of image analysis for scientists

Signals and systems I (for MT)

Introduction of the basic concepts and mathematical tools for the characterization of signals and for the analysis and design of linear systems (filters or transmission channels). Application of these techniques to signal processing and communications.

Signals and systems I (for SV)

Introduction of the basic concepts and mathematical tools for the analysis and characterization of signals, the design of processing algorithms, and the linear modeling of systems for students in the life sciences. Application of these techniques to signal processing and communications.

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).

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).

Image processing I

Image processing II