IEEE International Symposium on Information Theory (ISIT) is the premier international conference dedicated to the advancement of information theory and related areas. It brings together an international community of researchers and practitioners each year in the field of information theory to present and discuss new research results and perspectives on future developments relevant to all areas of information theory, including big data analytics, source and channel coding, communication theory and systems, cryptography and security, detection and estimation, emerging applications, networks, network coding/information theory, signal processing, and statistical/machine learning.
Hosted by the IEEE Information Theory Society, the 2020 (virtual) ISIT will feature contributed papers, the Shannon lecture and plenary talks, as well as panel/tutorial sessions.
We hope that you will enjoy the virtual IEEE ISIT 2020.
Salman Avestimehr, Giuseppe Caire, and Babak Hassibi
General Co-Chairs of IEEE ISIT 2020
Charles H. Bennett
Shannon Lecture: Charles H. Bennett - Quantum Information’s Birth, Growth, And Significance
University of Amsterdam and Qualcomm
Max Welling - Neural Augmentation In Wireless Communication
University of California, Berkeley
Venkat Anantharam - Gone Fishin’
University of Illinois Urbana-Champaign
Olgica Milenkovic - Coded String Reconstruction Problems
Massachusetts Institute of Technology
Pablo Parrilo - Sum Of Squares — Where Are We, And Where To Go?
IEEE ISIT 2020 has a number of tracks to help guide you to your areas of interest.
Find and plan your virtual experience.
All times noted are Pacific Daylight Time (PDT)
Due to the COVID-19 pandemic, the world has abruptly pivoted towards remote education in the past few months. While online classes pose many challenges, such as restricted social interactions, they can provide several advantages such as increased flexibility and convenience compared to in-person learning.
The Student and Outreach Subcommittee has reached out to several members of the Information Theory community and asked them to share their perspective on online teaching and learning.
Watch these exclusive videos to hear how your colleagues have been adopting different education technologies, especially during these unprecedented times.
The Claude E. Shannon Award of the Information Theory Society has been instituted to honor consistent and profound contributions to information theory and is one of the highest awards bestowed on researchers in the field of information theory. The 2020 Shannon Award recipient Charles H. Bennett has made significant contributions to the study of quantum information theory and quantum cryptography.
In this exclusive recorded interview, organized into three parts and conducted by Dr. Min-Hsiu Hsieh and Dr. David Sutter, Dr. Charles H. Bennett shares his past academic experiences, and his insights regarding the past, present, and future of quantum information theory research.
ISIT has always been a unique opportunity to connect with students who share similar interests. Also this year, we have tried to keep this social component alive. In this special online challenge, students registered to ISIT were able to team up with students from other universities to create videos explaining an easy concept related to information theory to high school students.
Watch the three winning videos that were selected by a jury composed by the well-known in the IT community Brit Cruise, as well as Giovanni Caire (high school student) and Serena Nicoll (undergraduate student).
Coded computing is a novel computing paradigm that utilizes coding theory to effectively inject and leverage data/computation redundancy to mitigate several fundamental bottlenecks in large-scale distributed computing, namely communication bandwidth, straggler’s (i.e., slow or failing nodes) delay, privacy and security bottlenecks. This tutorial/panel provides a brief overview of coded computing, highlights several exciting recent/future research directions in this area, and ends with Q&A with participants/panelists on coded computing.
Blockchains such as Bitcoin and Ethereum have created a mechanism for secure decentralized computing in the presence of malicious and selfish nodes. In this tutorial, we will survey some of the fundamental problems in blockchain systems, including security, scalability, confirmation latency and fairness. We will highlight how applied probability, information and coding theory can play an important role in solving these problems. No prior background will be assumed.