Regular biography
Olivier Lévêque is a Senior Scientist at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the CS department. His research interests include theory of information, random matrices, and stochastic partial differential equations. He has taught courses such as Information, Calcul, Communication (CS-119) and Markov Chains and Algorithmic Applications (COM-516). Lévêque earned his engineering degree from EPFL in 1995 and his doctorate in Mathematics from EPFL in 2001. He spent the academic year 2006-2007 as a lecturer at the Department of Electrical Engineering at Stanford University.
Scholar-generated biography
Olivier Leveque is a Senior Scientist at Ecole Polytechnique Federale de Lausanne (EPFL), specializing in Information Theory, Wireless Communications, Probability, Random Matrix Theory, and Stochastic Analysis. His research explores the theoretical limits and practical performance of wireless networks, including capacity scaling, hierarchical cooperation, and throughput-delay tradeoffs. He investigates large-scale ad hoc and MIMO systems, focusing on their information-theoretic operating regimes and asymptotic behavior. His work also extends to stochastic partial differential equations and hyperbolic SPDEs driven by Gaussian noise. Leveque's contributions highlight the interplay between probability, random matrix theory, and communication systems, offering insights into the design and optimization of next-generation wireless networks.