Olivier Lévêque

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Senior Scientist

olivier.leveque@epfl.ch +41 21 69 38112 http://ipgold.epfl.ch/~leveque/

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

+41 21 69 38112
Website
Directory
INR 132

EPFL IC IC-SSC SSC-ENS
INR 132 (Bâtiment INR)
Station 14
CH-1015 Lausanne

+41 21 69 38112
Website
Directory
INR 132

EPFL IC IC-SIN SIN-ENS

Website
Directory

EPFL E E-DAF EPFL-GYMN

Biography

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

Fields of expertise

Information theory

Random matrices

Stochastic calculus

Publications

Infoscience

A. Özgür; O. Lévêque; D. Tse : Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks; IEEE Transactions on Information Theory. 2007.

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A. Özgür; O. Lévêque; E. Preissmann : Scaling Laws for One and Two-Dimensional Random Wireless Networks in the Low Attenuation Regime; IEEE Transactions on Information Theory. 2007.

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R. C. Dalang; O. Lévêque : Second-order hyperbolic S.P.D.E.'s driven by homogeneous Gaussian noise on a hyperplane; Transactions of the American Mathematical Society. 2006. DOI : 10.1090/S0002-9947-05-03740-2.

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O. Lévêque; E. Telatar : Information-Theoretic Upper Bounds on the Capacity of Large Extended Ad Hoc Wireless Networks; IEEE Transactions on Information Theory. 2005.

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R. C. Dalang; O. Lévêque : Second-order linear hyperbolic SPDEs driven by isotropic Gaussian noise on a sphere; Annals of Applied Probability. 2004.

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Teaching & PhD

Teaching

Communication Systems,
Computer Science

PhD Programs

Doctoral program in computer and communication sciences

PhD Students

Past PhD Students

Desgroseilliers Marc ...
Haddad Serj ...
Merzakreeva Alla ...
Özgür Aydin Ayfer ...

Courses

Advanced probability and applications

Doctoral Program in Electrical Engineering, 2018-2019, language : english
Doctoral program in computer and communication sciences, 2018-2019, language : english
MINEUR, 2018-2019, Spring semester, language : english
Section of Communication Systems, 2018-2019, Master semester 2, language : english
Section of Communication Systems, 2018-2019, Master semester 4, language : english
Section of Computer Science, 2018-2019, Master semester 2, language : english

Information, Computation, Communication

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 (Java language).

Section of Civil Engineering, 2018-2019, Bachelor semester 1, language : french

Information, Computation, Communication

Section of Materials Science and Engineering, 2018-2019, Bachelor semester 1, language : french

Markov chains and algorithmic applications

The study of random walks finds many applications in computer science and communications. The goal of the course is to get familiar with the theory of random walks, and to get an overview of some applications of this theory to problems of interest in comm...

Doctoral Program in Electrical Engineering, 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 Computer Science, 2018-2019, Master semester 1, language : english
Section of Computer Science, 2018-2019, Master semester 3, language : english