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Awards
Aaron D. Wyner Distinguished Service Award
The Aaron D. Wyner Distinguished Service Award honors an individual who has shown outstanding leadership in, and provided long-standing, exceptional service to, the Information Theory community.
Claude E. Shannon Award
The Claude E. Shannon Award is the highest honor from the IEEE Information Theory Society. The award has been instituted to honor consistent and profound contributions to the field of information theory.
Communications Society & Information Theory Society Joint Paper Award
The Communications Society & Information Theory Society Joint Paper Award recognizes outstanding papers that lie at the intersection of communications and information theory.
Goldsmith Lecturer
The Goldsmith Lecturer Program was established with a generous gift of Dr. Andrea Goldsmith in 2019. The Goldsmith Lecture will be delivered by an early-career woman researcher at one of the ITSoc’s Schools of Information Theory, held for the benefit of students and postdoctoral researchers.
Information Theory Society Paper Award
The Information Theory Society Paper Award is given annually for an outstanding publication in the fields of interest to the Society appearing anywhere during the preceding four calendar years.
Jack Keil Wolf ISIT Student Paper Award
The IEEE Jack Keil Wolf ISIT Student Paper Award is given to up to 3 outstanding papers for which a student is the principal author and presenter.
James L. Massey Research & Teaching Award for Young Scholars
The James L. Massey Research & Teaching Award for Young Scholars recognizes outstanding achievement in research and teaching by young scholars in the Information Theory community.
Padovani Lecturer
The Padovani Lecturer Program was established with a generous gift of Dr. Roberto Padovani in 2009. The Padovani Lecture will be delivered by an outstanding member of the Information Theory community at one of the ITSoc’s Schools of Information Theory, held for the benefit of students and postdoctoral researchers.
Thomas M. Cover Dissertation Award
The IEEE Information Theory Society Thomas M. Cover Dissertation Award is awarded annually to the author of an outstanding doctoral dissertation contributing to the mathematical foundations of any of the information sciences within the purview of the Society.
Awards
Distinguished Lecturers
The Distinguished Lecturers program promotes interest in information theory by supporting chapters who wish to invite prominent information theory researchers to give talks at their events.
Conferences
Job list
Jobs Board
Postdoctoral Researcher Position on Information Theory and Coding
Bilkent University
Immediate openings for postdocs on insertion/deletion channels and DNA storage at Bilkent…
Mar 3, 2023
Postdoc Positions in Wireless Communications
University of Hawaii
Department of Electrical and Computer Engineering at University of Hawaii is looking for two…
Feb 22, 2023
Postdoctoral Position in Econometrics and Statistics
University of Vienna-Department of Statistics and Operations Research
The University of Vienna invites applications for a postdoctoral position in the field of…
Feb 10, 2023
News
Robert Calderbank - USC Viterbi Lecture, Thursday March 2, 2023
Robert Calderbank of Duke University will give the 2023 USC Viterbi Lecture on Thursday, March 2,…
Feb 28, 2023
Submission Deadline Approaching: JSAIT Issue on Role of Freshness and Semantic Measures
Call for Papers for JSAIT Issue on the Role of Freshness and Semantic Measures in the Transmission…
Feb 17, 2023
IEEE Information Theory Society Call for 2023 Award Nominations
Nominations are now open for paper awards as well as annual awards and recognition from the IEEE…
Jan 9, 2023
Aylin Yener Has Been Elected To Be the Next IEEE Division IX Director
The IT Society congratulates our Past President Aylin Yener for being elected to be the next IEEE…
Dec 22, 2022
News
Postdoctoral and PhD vacancies at Chalmers (Sweden)
1 PhD and 2 Postdoctoral positions available at Chalmers University of Technology, Gothenburg, Sweden
Nov 21, 2018
Assistant (Tenure Track) or Associate Professor (Tenured) Position at University of California Irvine
The Department of Electrical Engineering and Computer Science at the University of California, Irvine invites applications for Assistant (Tenure Track) or Associate Professor (Tenured) Position. Areas include, but are not limited to, theoretical foundations and algorithms dealing with various aspects of big data broadly interpreted to include networked communication systems, distributed computing, high dimensional statistics, signal processing, scaling laws, data mining, and machine learning for high-performance and scalable computing and communication; applications include, but are not limited to, Internet-of-Things, manufacturing, smart cities and other domains.
Nov 12, 2018
Tenure-Track Faculty Openings in Electrical Engineering at Penn State
The Department of Electrical Engineering in the School of Electrical Engineering and Computer Science at the Pennsylvania State University invites applications for multiple tenure-track faculty positions at the Assistant or Associate Professor levels.
Nov 8, 2018
Shannon Channel seminar talks for Fall 2018
After a summer break, the Fall 2018 season of Shannon Channel started on Friday, November 2.
Nov 6, 2018
Call for course proposals for the Informatics Sciences School (ECI) 2019
Invitation to submit proposals for courses to be included in the program of the Escuela de Ciencias Informáticas ECI 2019, to be held at Departamento de Computación, Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires, from July 22 to 26, 2019.
Nov 5, 2018
Faculty Openings at Penn State
Tenure-track openings at Penn State in Information Theory and Related Fields
Nov 2, 2018
Postdoctoral Position at the National University of Singapore
Post-doctoral position in the Department of Computer Science, National University of Singapore, for research at the intersection of information theory and machine learning.
Oct 29, 2018
Call for EiC Nominations for the new IEEE Journal on Selected Topics in Information Theory (JSTIT)
The IEEE Journal on Special Topics in Information Theory (JSTIT) is a new journal in the process of being launched by the IEEE Information Theory Society in early 2020. It will publish high quality technical papers on all aspects of information theory, including intersections of information theory with fields such as machine learning, statistics, genomics, neuroscience, theoretical computer science, and physics, as well as important and timely topics firmly within the domain of information theory.
Oct 11, 2018
The Informaticists Podcast
From producer and host Irena Fischer-Hwang comes a new podcast, The Informaticists, addressing the fundamental question "What is information?"
Oct 11, 2018
Postdoc position at Purdue University
Oct 4, 2018
Assistant Professor Position at Princeton EE Department
The Department of Electrical Engineering seeks applications in all areas of Electrical Engineering for a tenure-track Assistant Professor position with particular interest in the areas of Information Sciences and Systems, Machine Learning, Robotics and Cyber-Physical Systems, and related fields.
Oct 3, 2018
Tenured Faculty Position at Princeton University
The Department of Electrical Engineering at Princeton University seeks outstanding applicants for a tenured appointment at the Associate or Full Professor level, effective as early as September 1, 2019.
Oct 2, 2018
Faculty Position at Queen's University
Tenure-Track Faculty Position in Mathematics and Engineering at Queen's University, Canada
Sep 27, 2018
Tenured and Tenure Track Positions, Department of Electrical and Computer Engineering, New York University
NYU faculty positions in circuits, devices, computing systems, and machine learning.
Sep 21, 2018
Faculty position in Mathematics and Engineering and Applied Mathematics at Queen's University, Canada
Faculty position in Mathematics and Engineering and Applied Mathematics at Queen's University, Canada
Sep 20, 2018
Faculty position in Mathematics and Engineering and Applied Mathematics at Queen's University, Canada
Faculty position in Mathematics and Engineering and Applied Mathematics at Queen's University, Canada
Sep 20, 2018
PhD position: Strategic Communication in Decentralized Networks
Supervision: Maël Le Treust (CNRS Permanent Researcher) ; Funding: Paris Seine Initiative 40k€/year for 3 years ; Location: ETIS laboratory, 6 av. Ponceau, Cergy (Greater Paris), France ; Deadline for application: 10-15-2018
Sep 5, 2018
Submit names for the new ITSOC magazine (Deadline October 13)
The Newsletter will become a magaine, but it needs a name!
Jul 25, 2018
"Information Theory In Small Bits" now available for purchase
The book, written by ITSOC members Christina Fragouli and Anna Scaglione, and illustrated by Scaglione, is aimed at making ideas from information theory accessible to children.
Jul 24, 2018
IEEE Launches App for Android/iOS
Download the new app from Google Play or the ITunes store.
Jul 24, 2018
Past meeting
Test Meeting with member edited
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BOG Meeting - Hybrid Meeting @ ITA 2023, San Diego, California
This will be a hybrid meeting in person and on zoom in conjunction with ITA 2023.
BOG Meeting - October 2022
This will be a virtual meeting on zoom. BoG members and approved presenters will receive an invite to the meeting.
BOG Meeting - Hybrid Meeting @ ISIT 2022, Espoo, Finland
This will be a hybrid meeting in person and on zoom in conjunction with ISIT 2022.
BOG Meeting - March 2023
This will be a virtual meeting on zoom. BoG members and approved presenters will receive an invite to the meeting.
BOG Meeting - November 2021
This will be a virtual meeting on zoom. BoG members and approved presenters will receive an invite to the meeting.
BOG Meeting - June 2021
The second BOG meeting of 2021 will be held virtually on zoom. BOG members and approved presenters will receive an invite to the meeting.
BOG Meeting - March 2021
This will be a virtual meeting on zoom. BoG members and approved presenters will have received an invite to the meeting.
BOG Meeting @ New Brunswick, NJ - 2019
The third BoG Meeting of 2019 will take place at Rutgers University, New Brunswick, NJ.
BoG Meeting @ Chicago, IL 2015
Meeting will be held right after Allerton
BoG Meeting @ ISIT 2015, Hong Kong
Annual Meeting of the Information Theory Society
BoG Meeting - GlobalMeet
The BoG Meeting will be held via GlobalMeet on Saturday, September 20 (7:00 AM Pacific Time).
BoG Meeting @ ITA 2014, San Diego, CA
First BoG meeting of 2014
BoG Meeting @ ITA 2013, San Diego, CA
First BoG meeting of 2013
BoG meeting @ ITW 2012, Lausanne
Last BoG meeting of 2012.
BoG meeting @ ISIT 2012, Cambridge, MA
BoG meeting July 2012.
IT BoG meeting @ ITA 2012, UCSD
Meeting of the Board of Governors
BoG Meeting @ ITW 2011, Paraty, Brazil
The third BoG meeting of 2011 will take place on ***Monday*** October 17, in Paraty Brazil, in conjunction with ITW 2011, starting at about 6:00pm with a buffet dinner at the restaurant Banana de Terra (one block away from the conference center).
BoG Meeting @ ISIT 2011, St. Petersburg, Russia
The annual BoG meeting will take place on Sunday July 31, at the ISIT 2011 conference hotel, starting at 12:00 noon **sharp** with a buffet lunch. The meeting room is "Green 6+7" and will be clearly indicated at the registration desk, operational from Sunday July 31, morning. Please follow the signs and/or ask the registration desk in order to get to the lunch and meeting.
BoG Meeting, ISIT 2010
Annual meeting of the IEEE Information Theory Society Board of Governors. All are welcome to attend. Some portions of the meeting will be conducted in camera. The formal part of the meeting will commence at 12:45pm.
BoG Meeting, La Jolla, CA, 2010
First Board of Governors' meeting of 2010.
BoG Meeting, ITW Taormina 2009
The final BoG meeting of 2009. Dinner will be served at 6:30 and the meeting will start shortly thereafter. Everyone is welcome to attend. Meeting will be held in the Saletta Belvedere room of the Villa Diodoro (workshop hotel).
BoG Meeting, ISIT 2009
Annual meeting of the Information Theory Society BOGs. Everyone is welcome to attend all or part of the meeting. The meeting will be preceeded by lunch at 12:15, with the formal meeting starting at 1pm, ending at 5:30pm.
Research In Information Theory
Selected papers on information theory from our journals and conferences
IEEE JSAIT on the Information Theory Magazine
JPEG Compliant Compression for DNN Vision
Conventional image compression techniques are primarily developed for the human visual system. However, with the extensive use of deep neural networks (DNNs) for computer vision, more and more images will be consumed by DNN-based intelligent machines, which makes it crucial to develop image compression techniques customized for DNN vision while being JPEG compliant. In this paper, we revisit the JPEG rate distortion theory for DNN vision. First, we propose a novel distortion measure, dubbed the sensitivity weighted error (SWE), for DNN vision.
IEEE JSAIT on the Information Theory Magazine
Throughput and Latency Analysis for Line Networks With Outage Links
Wireless communication links suffer from outage events caused by fading and interference. To facilitate a tractable analysis of network communication throughput and latency, we propose an outage link model to represent a communication link in the slow fading phenomenon. For a line-topology network with outage links, we study three types of intermediate network node schemes: random linear network coding, store-and-forward, and hop-by-hop retransmission. We provide the analytical formulas for the maximum throughputs and the end-to-end latency for each scheme.
IEEE JSAIT on the Information Theory Magazine
Addressing GAN Training Instabilities via Tunable Classification Losses
Generative adversarial networks (GANs), modeled as a zero-sum game between a generator (G) and a discriminator (D), allow generating synthetic data with formal guarantees. Noting that D is a classifier, we begin by reformulating the GAN value function using class probability estimation (CPE) losses. We prove a two-way correspondence between CPE loss GANs and f-GANs which minimize f-divergences. We also show that all symmetric f-divergences are equivalent in convergence.
IEEE JSAIT on the Information Theory Magazine
Information Velocity of Cascaded Gaussian Channels With Feedback
We consider a line network of nodes, connected by additive white noise channels, equipped with local feedback. We study the velocity at which information spreads over this network. For transmission of a data packet, we give an explicit positive lower bound on the velocity, for any packet size. Furthermore, we consider streaming, that is, transmission of data packets generated at a given average arrival rate. We show that a positive velocity exists as long as the arrival rate is below the individual Gaussian channel capacity, and provide an explicit lower bound.
IEEE JSAIT on the Information Theory Magazine
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
While much of the rapidly growing literature on fair decision-making focuses on metrics for one-shot decisions, recent work has raised the intriguing possibility of designing sequential decision-making to positively impact long-term social fairness. In selection processes such as college admissions or hiring, biasing slightly towards applicants from under-represented groups is hypothesized to provide positive feedback that increases the pool of under-represented applicants in future selection rounds, thus enhancing fairness in the long term.
IEEE JSAIT on the Information Theory Magazine
Controlled privacy leakage propagation throughout overlapping grouped learning
Federated Learning (FL) is the standard protocol for collaborative learning. In FL, multiple workers jointly train a shared model. They exchange model updates calculated on their data, while keeping the raw data itself local. Since workers naturally form groups based on common interests and privacy policies, we are motivated to extend standard FL to reflect a setting with multiple, potentially overlapping groups.
IEEE JSAIT on the Information Theory Magazine
Neural Distributed Source Coding
We consider the Distributed Source Coding (DSC) problem concerning the task of encoding an input in the absence of correlated side information that is only available to the decoder. Remarkably, Slepian and Wolf showed in 1973 that an encoder without access to the side information can asymptotically achieve the same compression rate as when the side information is available to it. This seminal result was later extended to lossy compression of distributed sources by Wyner, Ziv, Berger, and Tung.
IEEE JSAIT on the Information Theory Magazine
rTop-k: A Statistical Estimation Approach to Distributed SGD
The large communication cost for exchanging gradients between different nodes significantly limits the scalability of distributed training for large-scale learning models. Motivated by this observation, there has been significant recent interest in techniques that reduce the communication cost of distributed Stochastic Gradient Descent (SGD), with gradient sparsification techniques such as top-k and random-k shown to be particularly effective.
IEEE JSAIT on the Information Theory Magazine
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting
We consider a finite-armed structured bandit problem in which mean rewards of different arms are known functions of a common hidden parameter 8*. Since we do not place any restrictions on these functions, the problem setting subsumes several previously studied frameworks that assume linear or invertible reward functions. We propose a novel approach to gradually estimate the hidden 8* and use the estimate together with the mean reward functions to substantially reduce exploration of sub-optimal arms.
IEEE JSAIT on the Information Theory Magazine
Minimax Estimation of Divergences Between Discrete Distributions
We study the minimax estimation of α-divergences between discrete distributions for integer α ≥ 1, which include the Kullback-Leibler divergence and the χ2-divergences as special examples. Dropping the usual theoretical tricks to acquire independence, we construct the first minimax rate-optimal estimator which does not require any Poissonization, sample splitting, or explicit construction of approximating polynomials.
Videos on Information Theory
Find tutorials, lectures, keynotes and technical presentations on information theory
