Rüdiger Urbanke

Expertise coding, communications, information theory, graphical models, methods of statistical physics applied to problems in communications and computer science, codes for quantum, foundations of machine learning Mission Design and analysis of error-correcting codes for both classical and quantum communication, as well as the theoretical foundations of modern machine learning. Ruediger L. Urbanke received his Dipl. Ing. degree from the Vienna University of Technology, Austria, in 1990, followed by an M.Sc. and a Ph.D. in Electrical Engineering from Washington University in St. Louis, MO, in 1992 and 1995, respectively. From 1995 to 1999, he served in the Mathematics of Communications Department at Bell Labs, after which he joined the School of Computer & Communication Sciences (I&C) at EPFL, where he is part of the Information Processing Group.He was an Associate Editor of the IEEE Transactions on Information Theory from 2000 to 2004, served as President of the IEEE Information Theory Society in 2017, and is currently the Dean of I&C. Dr. Urbanke is co-author of Modern Coding Theory (Cambridge University Press).His research spans the design and analysis of error-correcting codes for both classical and quantum communication, as well as the theoretical foundations of modern machine learning. Awards: 2023 Claude E. Shannon Award 2023 IEEE Leon K. Kirchmayer Graduate Teaching Award 2021 IEEE Information Theory Society Paper Award 2016 STOC Best Paper Award 2014 La Polysphere Teaching Award 2014 IEEE Hamming Medal 2013 IEEE Information Theory Society Paper Award 2011 MASCOT Best Paper Award 2011 IEEE Koji Kobayashi Award 2009 La Polysphere Teaching Award 2002 IEEE Information Theory Society Paper Award Fulbright Scholarship My students have won the following awards: M. Mondelli, 2021 IEEE Information Theory Paper Award M. Mondelli, EPFL Doctorate Award 2018 M. Mondelli, Patrick Denantes Award, 2017 M. Mondelli, IEEE IT Society Student Paper Award at ISIT, 2015 M. Mondelli, Dan David Prize Scholarship, 2015 H. Hassani, Inaugural Thomas Cover Dissertation Award, 2014 S. Kudekar, 2013 & 2021 IEEE Information Theory Paper Award A. Karbasi, Patrick Denantes Award, 2013 V. Venkatesan, Best Paper Award at MASCOTS, 2011 A. Karbasi, Best Student Paper Award at ICASSP, 2011 (with R. Parhizkar) A. Karbasi, Best Student Paper Award at ACM SIGMETRICS, 2010 (with S. Oh) S. Korada, ABB Dissertation Award, 2010 S. Korada, IEEE IT Society Student Paper Award at ISIT, 2009 (with E. Sasoglu) S. Korada, IEEE IT Society Student Paper Award at ISIT, 2008CONTACT SecretariatMuriel BardetBuilding INR 137Station 14CH-1015 LausanneTel. 41 21 693 76 95muriel.bardet@epfl.ch Education EE | PhD in EE 1992 – 1995 WashU Directed by Bixio Rimoldi EE | MS in EE 1991 – 1992 WashU Directed by Bixio Rimoldi EE | Dimplomingenieur in Elektrotechnik 1985 – 1990 TU Wien Teaching & PhD PhD Students Thomas Weinberger Past EPFL PhD Students Changyan Di, Cyril Measson, Abdelaziz Amraoui, Vishwambhar Rathi, Shrinivas Kudekar, Satish Babu Korada, Christine Neuberg, Amin Karbasi, Vinodh Venkatesan, Seyed Hamed Hassani, Marc Vuffray, Vahid Aref, Andrei Giurgiu, Rafah El-Khatib, Marco Mondelli, Slobodan Mitrovic, Wei Liu, Kirill Ivanov, Andreas Maggiori, Dina Khaled Sayed Abdelhadi Past EPFL PhD Students as codirector Xiao-Yu Hu, Frédérique Oggier, Ali Ajdari Rad, Mohamad Baker Dia, Grzegorz Adam Gluch 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. Awards IEEE Koji Kobayashi Award IEEE (Institute of Electrical and Electronics Engineers) 2011 IEEE Hamming Medal IEEE (Institute of Electrical and Electronics Engineers) 2014 Claude E. Shannon Award IEEE Information Theory Society 2023 IEEE Leon K. Kirchmayer Graduate Teaching Award IEEE (Institute of Electrical and Electronics Engineers) 2023 IEEE Information Theory Society Paper Award IEEE (Institute of Electrical and Electronics Engineers) 2021 STOC Best Paper Award ACM Symposium on Theory of Computing (STOC) 2016 IEEE Information Theory Society Paper Award IEEE (Institute of Electrical and Electronics Engineers) 2013 MASCOT Best Paper Award 2011 La Polysphere Teaching Award 2009 IEEE Information Theory Society Paper Award 2002