Professor Muriel Médard

Muriel Médard is the NEC Professor of Software Science and Engineering in the Electrical Engineering and Computer Science (EECS) Department at MIT and leads the Network Coding and Reliable Communications Group at the Research Laboratory for Electronics at MIT.

Full bio here

Massachusetts Institute of Technology
Research Laboratory of Electronics
Room 36-512F
77 Massachusetts Avenue
Cambridge, MA 02139

News & Events

Muriel Médard Awarded MIT’s Excellence in Postdoctoral Mentoring Award

The Vice President of Research at MIT, Maria T. Zuber, invited faculty and postdocs to MIT's Postdoc Appreciation Lunch, which was held on Monday, September 19th at Morss Hall in Walker Memorial, in celebration of National Postdoc Appreciation Week (NPAW). The US...

Nokia Bell Labs 6G technologies contributed article

  Prof. Muriel Médard contributed an article to Nokia Bell Labs titled "6G - when reliability meets performance." The page for her featured article went live today and can be found at the link below. In the article, Prof. Médard explains that blending...

Muriel Médard named NEC Professor of Software Science and Engineering

Muriel Médard is named the NEC Professor of Software Science and Engineering in the Electrical Engineering and Computer Science (EECS) Department at MIT. Below is the announcement from the Dean of the School of Engineering recognizing this significant achievement....

Onalytica Who’s Who Report Highlights Influential 5G Experts

Onalytica Who's Who report highlighting influential 5G experts is out today. This report provides a sample of influential experts from Event Speakers and Analysts to Industry KOLs (Key Opinion Leaders) and Content Creators. Onalytica has been creating "Who's Who"...

Professor Muriel Médard chosen as the 2022 Kobayashi Award recipient

The 2022 Kobayashi Award was presented to Professor Muriel Médard at the opening session of IEEE INFOCOM 2022 (Tuesday 10am, May 3, 2022, US eastern time, virtual conference). The IEEE Koji Kobayashi Computers and Communications Award was established by the IEEE Board...

The Universal Decoder That Works in One Microsecond

Read this article from Boston University about "the first silicon chip that can decode any error-correcting code—even codes that don’t yet exist— potentially leading to faster and more efficient 5G networks and connected devices."

GRAND: A Universal System for Decoding Any Type of Data Sent Across a Network

"A new silicon chip can decode any error-correcting code through the use of a novel algorithm known as Guessing Random Additive Noise Decoding (GRAND). This chip eliminates the need for specific decoding hardware, could boost efficiency of gaming systems, 5G networks,...

Inspiring Academic Female Founders Interview Professor Médard

Read the conversation with Professor Muriel Médard, CodeOn Cofounder, here.

Keynote Speaker at ACM MobiHoc 2021

Professor Médard will be a keynote speaker at ACM MobiHoc 2021 with her talk: "Waste not, want not - using spectrum efficiently for low delay." July 26th - July 29th, 2021 in Shanghai, China (hybrid event). For more information, please visit here.

Guest speaker at Aalto University 5G summer course

Professor Medard will be a guest speaker at Aalto University International online 5G Summer Course on June 15 9AM EDT. For more information please visit here.

Induction Weekend American Academy of Arts & Sciences

The American Academy of Arts and Sciences is pleased to hold its Induction weekend celebrations on September 9 and 10, 2022 in Cambridge, MA. The programs planned will be opportunities to meet fellow members elected in 2020 and 2021, to learn about the Academy’s work,...

Keynote Speaker at SPIN 2022

Distinguished Keynote Speaker at 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022) on 25-26 August, 2022 through Virtual Mode at Amity University, Noida, UP, India International Conference on Signal Processing and Integrated...

IEEE Tokyo Section Webinar August 12th with Prof. Médard

IEEE Tokyo Section Young Professionals in association with IEEE Tokyo Section Educational Activities presents: "Find your Major" Theme: Information Theory and Error Correcting Codes with Prof. Muriel Médard, EECS, of MIT. Prof. Médard will present her talk on Friday...

13th IEEE/IET CSNDSP Porto, Portugal

The 13th IEEE/IET International Symposium on Communications Systems, Networks and Digital Signal Processing (CSNDSP) will be held in Porto, Portugal from July 20-July 22, 2022. CSNDSP is celebrating 25 years! First started in 1998, CSNDSP has been running biennially...

Prof. Médard Panelist at ISIT 2022 WITHITS social event

At the 2022 IEEE International Symposium on Information Theory (ISIT) at Aalto University in Espoo, Finland, there will be an event for WITHITS (Women In the Information Theory Society), as part of the Social Program. 15 years ago, Prof. Muriel Médard started the...

IEEE ISIT 2022 Tutorial: “Universal Decoding by Guessing Random Additive Noise Decoding – GRAND”

Professor Muriel Médard will be joined by Ken R. Duffy (Maynooth University) to give a Tutorial on Universal Decoding by Guessing Random Additive Noise Decoding – GRAND on Sunday June 26th (14:00-17:00 EEST, local Helsinki time) at IEEE International Symposium on...

IEEE WoWMoM 2022 Keynote: “Revisiting Wireless Security”

Prof. Muriel Médard is invited to give the Keynote address to the 23rd IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks (WoWMoM 2022) in Belfast, Northern Ireland on Wednesday June 15th 9:15AM-10:00AM in the Penthouse Suite. WoWMoM...

CWIT 2022 Keynote: “It’s not the code, it’s the noise”

The 17th Canadian Workshop on Information Theory (CWIT 2022) will be held from June 5-8 in Ottawa, Ontario, Canada at the University of Ottawa's Faculty of Engineering. Prof. Muriel Médard has been invited to give the Keynote address on Monday June 6 at 9:00AM. Her...

Panel Discussion at Big 5G Event in Austin TX May 16th

May 16th, 2022 Professor Muriel Médard of MIT joined Walt Magnussen of Texas A&M University, Sachin Shetty of Old Dominion University, and Tommaso Melodia of Northeastern University for a Panel Discussion on Driving North American 6G Research Priorities. This 6G...

First Speaker of IEEE Women in Engineering (WIE) affinity group of the Lille IEEE Student Branch

Muriel Médard, Cecil H. and Ida Green Professor of EECS from MIT invited to be first speaker of the IEEE Women in Engineering (WIE) affinity group of the Lille IEEE Student Branch in Northern France. Her lecture will be about universal decoding GRAND, her work with...



Analog Compressed Sensing for Sparse Frequency Shift Keying Modulation Schemes

K Yang, DC GonzalezYC EldarM Medard – arXiv preprint arXiv …, 2022 –
20 days ago – There is a growing interest in signaling schemes that operate in the wideband
regime due to the crowded frequency spectrum. However, a downside of the wideband …


Millimeter-Wave in Milliseconds: Sliding Window Network Coding Outperforms Rateless Codes

E Dias, D Raposo, H EsfahanizadehA Cohen… – arXiv preprint arXiv …, 2022 –
49 days ago – Ultra-reliability and low-latency are pivotal requirements of the new generation
of communication networks. Over the past years, to increase throughput, adaptive active …


Angularly Dispersive Terahertz Links with Secure Coding: From Theoretical Foundations to Experiments

CY YehA CohenRGL D’OliveiraM Médard… – Proceedings of the 15th …, 2022 –
60 days ago – With the large bandwidths available in the terahertz regime, directional
transmissions can exhibit angular dispersion, ie, frequency-dependent radiation direction. …


Heterogeneous Differential Privacy via Graphs

S TorkamaniJB Ebrahimi, P Sadeghi… – arXiv preprint arXiv …, 2022 –
83 days ago – We generalize a previous framework for designing utility-optimal differentially
private (DP) mechanisms via graphs, where datasets are vertices in the graph and edges …


Quantized Guessing Random Additive Noise Decoding

KR Duffy, EP Gabhart, M Médard – arXiv preprint arXiv:2203.13552, 2022 –
88 days ago – We introduce a soft-detection variant of Guessing Random Additive Noise
Decoding (GRAND) called Quantized GRAND (QGRAND) that can efficiently decode any …


AES as Error Correction

A CohenRGL D’OliveiraKR Duffy, J Woo… – arXiv preprint arXiv …, 2022 –
91 days ago – In this paper, we show that the Advanced Encryption Standard (AES) cryptosystem
can be used as an error-correcting code to obtain reliability over noisy communication …


Rainbow Differential Privacy

Z Zhou, O GünlüRGL D’OliveiraM Médard… – arXiv preprint arXiv …, 2022 –
132 days ago – We extend a previous framework for designing differentially private (DP)
mechanisms via randomized graph colorings that was restricted to binary functions, …


Partial encryption after encoding for security and reliability in data systems

A CohenRGL D’OliveiraKR Duffy… – arXiv preprint arXiv …, 2022 –
133 days ago – We consider the problem of secure and reliable communication over a noisy
multipath network. Previous work considering a noiseless version of our problem proposed a …


Broadcast approach meets network coding for data streaming

A CohenM MédardS Shamai – arXiv preprint arXiv:2202.03018, 2022 –
133 days ago – For data streaming applications, existing solutions are not yet able to close the
gap between high data rates and low delay. This work considers the problem of data …


Syfer: Neural Obfuscation for Private Data Release

A YalaV QuachH Esfahanizadeh… – arXiv preprint arXiv …, 2022 –
144 days ago – Balancing privacy and predictive utility remains a central challenge for machine
learning in healthcare. In this paper, we develop Syfer, a neural obfuscation method to …


Full Publications List


Wei An

Doctoral Student
office: 36-512A

Benoit Pit-Claudel

Doctoral Student
office: 36-512

Megan Su

office: 36-512

Andrea Jaba

MEng Student
office: 36-512

Bill Wu

MEng Student
office: 36-512

Rafael G. L. D'Oliveira

Postdoctoral Associate
office: 36-512Q

Homa Esfahanizadeh

Postdoctoral Associate
office: 36-512L
email: homaesf@MIT.EDU

Alexander Mariona

Doctoral Student
office: 36-512

Basak Ozaydin

Doctoral Student
office: 36-512

Evan Gabhart

MEng Student
office: 36-512

Kathleen Yang

Doctoral Student
office: 36-512A



6.450 – Principles of Digital Communication

6.036 – Introduction to Machine Learning

6.006 – Introduction to Algorithms

6.02 – Introduction to EECS via Communication Networks

6.033 – Computer Systems Engineering

6.S076 – Special Subject in Electrical Engineering and Computer Science


Massachusetts Institute of Technology
Research Laboratory of Electronics
Room 36-512F
77 Massachusetts Avenue
Cambridge, MA 02139



Allison Christiansen
Program Administrator
Room 36-512C