Olivier Lévêque

Expertise Information theoryRandom matricesStochastic 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 Teaching & PhD Past EPFL PhD Students Ayfer Özgür Aydin Past EPFL PhD Students as codirector Alla Merzakreeva, Marc Desgroseilliers, Serj Haddad Courses 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. 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. Markov chains and algorithmic applications COM-516 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 communications, computer and network science.