Eric Goubault
Professor, Ecole Polytechnique
Eric co-coordinates the COMASIC Masters program.
Sylvie Putot
Professor, Ecole Polytechnique
Sylvie co-coordinates the COMASIC Masters program.
Sylvie Putot teaches the following in M1:
Thomas Clausen
A graduate of Aalborg University, Denmark (M.Sc., PhD - civilingeniør, cand.polyt) Thomas has, since 2004, been on faculty at Ecole Polytechnique, where he leads the computer networking research group. He, currently, also coordinates the Cisco “Internet of Everything” academic chaire.
Thomas Clausen teaches the following in M1:Thomas Clausen teaches the following in M2:
Yvan Bonnassieux
Professor
Yvan Bonnassieux is co-Director of the Technology Venture Master Program at Ecole Polytechnique and is responsable for the research team "Electronique Grandes Surfaces" at École Polytechnique.. He holds a Ph.D. from the École Normale Supérieure de Cachan. His current research focuses on the conceptualization, elaboration, optimization, and modeling of "dispositives électroniques" on large surfaces, using organic or silicon technologies.
Yvan Bonnassieux teaches the following in M1:
Erwan Le Pennec
Professor
Erwan Le Pennec is a professor at the Applied Math department of École polytechnique since September 2013. He is the co-director of the SIMAPS team (Signal IMage numerical ProbAbilities Statistical Learning). HE is also the head of the "Data Scientist" chair of École polytechnique created in octobre 2014 by École polytechnique, Keyrus, Orange and Thales, and supported by Fondation de l'X. This chair is dedicated to the Data Sciences training programs.
Erwan Le Pennec teaches the following in M1:
Frederic Magniez
Frederic Magniez is a CNRS Senior Researcher at Université Paris Diderot. His research interests include quantum computing (algorithms, self-testing, cryptography) and sublinear algorithms (property testing, streaming algorithms).
Xavier Rival
David Monniaux
Research Director, CNRS & Part-time professor, Ecole Polytechnique
David Monniaux works at VERIMAG, a computer science laboratory jointly operated by CNRS and the University of Grenoble. The practical focus of his research is how to prove software correct. This is connected to computability theory, since software correctness, in general, is an undecidable problem, to complexity theory, since many verification problems have high complexity, to mathematical logic, and to fields as diverse as game theory, algebra, and convex optimization.
David Monniaux teaches the following in M1:
