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Administrative data

Olivier Lévêque

olivier.leveque@epfl.ch http://ipgold.epfl.ch/~leveque/index.html

Nationality: CH

EPFL IC IINFCOM LTHI
INR 132 (Bâtiment INR)
Station 14
1015 Lausanne

Expertise

Information theory
Random matrices
Stochastic calculus
Olivier Lévêque was born in Switzerland in 1971. He received the physics diploma from EPFL in 1995 and completed his PhD in mathematics at EPFL in 2001. Since then, he has been with the Laboratory of Information Theory at EPFL. He spent the academical year 2005-2006 at the Electrical Engineering Department of Stanford University, where he was appointed as lecturer. His research interests include stochastic analysis, random matrices, wireless communications and information theory.

PUBLICATIONS

Google Scholar Profile

Infoscience

Teaching & PhD

Past EPFL PhD Students

Ayfer Özgür Aydin (2009)

Past EPFL PhD Students as codirector

Marc Desgroseilliers (2015), Serj Haddad (2017), Alla Merzakreeva (2014)

Courses

Advanced information, computation, communication I

CS-101

Discrete mathematics is a discipline with applications to almost all areas of study. It provides a set of indispensable tools to computer science in particular. This course reviews (familiar) topics as diverse as mathematical reasoning, combinatorics, discrete structures & algorithmic thinking.

Information, Computation, Communication

CS-119(a)

On one side, this course covers the concepts of algorithms, the representation of information, signal sampling and compression, and an overview of systems (CPU, memory, etc.). On the other side, an introduction to programming is given.

Information, Computation, Communication

CS-119(h)

The course objectives are to introduce the students to algorithmic thinking, to get them familiar with the foundations of communication and computer sciences and to develop a first set of skills in programming with the Python language.