Rüdiger Urbanke

EPFL IC IINFCOM LTHC
INR 116 (Bâtiment INR)
Station 14
1015 Lausanne

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, 2008

CONTACT

Secretariat
Muriel Bardet
Building INR 137
Station 14
CH-1015 Lausanne
Tel. 41 21 693 76 95
muriel.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

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

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.