Shannon Memorial Lecture & Fellowship

Memorial Lecture

To commemorate the achievements of Claude Elwood Shannon, an endowed lectureship has been established at the University of California, San Diego.

Each year an outstanding information theorist is selected to present the Shannon Memorial Lecture on or about Shannon's birthday (April 30th).

To view a recording of our last Shannon Memorial Lecture with Dr. Alon Orlitsky, CLICK HERE!


Lecture Flyer - Presenter: Alon Orlitsky

Speaker Lecture Date
Erdal Arikan

Polarization and Source Coding

Lecture Video Link

Nov. 11, 2021
Kannan Ramchandran

Shannon-inspired research tales on duality, encryption, sampling and learning

Lecture Video Link (YouTube)

June 11, 2019
David Tse

Understanding Generative Adversarial Networks (PDF)

Lecture Video Link (YouTube)

November 17, 2017
Robert Calderbank Remembering Shannon (PDF) October 10, 2016
Michael Luby A Shannon-like Approach to Reliable Distributed Storage (PDF) December 1, 2015
Rudiger L. Urbanke Polar Codes versus Spatially Coupled Codes (PDF) May 1, 2014
Abbas El Gamal Networks with Point-to-point Codes (PDF) May 1, 2013
Shlomo Shamai Gaussian Interference Channels: An Information-Estimation Perspective (PDF) May 3, 2012
Thomas Cover Shannon and the St. Petersburg Paradox (PDF) Sep 19, 2011
Andrew Viterbi Markov, Wiener and Shannon: A Progression Apr 30, 2010
Robert M. Gray Shannon Source Coding, Ornstein Isomorphism and Random Process Models Apr 21, 2009
Sergio Verdú Information Theory and Minimum Mean-Square Estimation Apr 30, 2008
Giuseppe Caire MIMO Downlink: Theory, Practice and Some Results Apr 30, 2007
Alexander Vardy Multivariate Interpolation Decoding: Closing the Gap Between Shannon and Hamming Apr 30, 2007
Alon Orlitsky Information Theory and Probability Estimation Apr 30, 2007
Erik Ordentlich Coding for 2D Constraints Apr 30, 2007
Richard E. Blahut Demodulation Meets Signal Processing: Two-Dimensional Information Theory Apr 26, 2006
Robert McEliece Are there Turbo-Codes on Mars? Apr 29, 2005
Lloyd R. Welch Hidden Markov Models and the Baum-Welch Algorithm Apr 30, 2004
Toby Berger Information Theory and Real Neural Nets May 5, 2003
  Shannon Symposium and Dedication Oct 15-16, 2001


Shannon Fellowship 2010

Left to right, Dr. Andrew Viterbi, Prof. Jack Wolf, and Ehsan Ardestanizadeh

Professor Jack Keil Wolf, holder of the Stephen O. Rice Chair in the Center for Memory and Recording Research at UCSD, has established a new endowment fund called the Shannon Graduate Fellowship Fund. The purpose of this endowed fellowship is to honor an outstanding graduate student at UCSD whose research is in the field of information theory. The naming of the fund is to commemorate the achievements of the late Claude E. Shannon, a Bell Labs mathematician who in 1948 originated the “information theory” on which the fundamental principles of digital telecommunications and information storage are based. The income from the endowment will be used to fund a graduate fellowship that well be awarded annually. The selection of the Shannon Fellow will be announced at the CMRR Shannon Memorial Lecture which is held annually on Claude Shannon’s birthday, April 30th.


Paolo Minero - April 2008
Yuzhe Jin - April 2009
Ehsan Ardestanizadeh - April 2010
Hessam Mahdavitar - September 2011
Jayadev Acharya - May 2012
Lele Wang - May 2013
Ananda Theertha Suresh – May 2014
Veeresh Taranalli - December 2015
Joseph Connelly - October 2016
Hamed Omidvar – November 2017
Heng Qiao –  June 2019
Shubhanshu Shekhar - November 2020
Ayush Jain and Hanwen Yao - 2021
Spencer Congero - 2022
Simeng Zheng - 2023