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 |
Fellowship
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.
Award Recipients
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
Nitish Deshpande - 2024
