Professor Muriel Médard

Muriel Médard is the Cecil H. Green Professor 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
617.253.3167—Tel
617.258.7864—Fax

News & Events

WCNC Keynote March 31st 11AM China Standard Time / 11PM EDT

Join Prof. Medard at the IEEE Consumer Communications & Networking Conference

German Academy of Sciences – March 8 9am EST

Professor Medard will be giving a scientific presentation at the German Academy of Sciences Leopoldina's Section.

IEEE WCNC 2021 – WEDNESDAY 31 MARCH, 11:00 – 12:30

Professor Medard will be giving a Keynote at IEEE WCNC 2021 on Wednesday 31 March at 11AM Nanjing, China local time.

IEEE 5G Summit – Dec 16, 2020

Professor Medard will be giving a keynote at the IEEE 5G Summit on December 16th at 12:15 EST. A panel discussion will follow at 1PM EST. More information can be found here. Registration can be done here.

ATSC News spotlight on Prof. Medard

ATSC News did a spotlight on Prof. Muriel Medard. Read more here.

Globecom 2020 – Keynote

Prof. Medard will give a keynote at Globecom 2020 on December 8, 9AM local Taipei time.

MIT-Harvard Communications Information Networks Circuits and Signals (CINCS) / Hamilton Institute Seminar – Professor Subhra Dey

MIT-Harvard Communications Information Networks Circuits and Signals (CINCS) / Hamilton Institute Seminar   Date: April 21, 2021 Time: 10AM EDT   Zoom: https://us02web.zoom.us/j/82083199226?pwd=UVZTZEdWRHowWmdIY2lPa0N1UklxZz09 Passcode: 232012   Title: "A...

MIT-Harvard CINCS / Hamilton Institute Seminar – Professor Raquel Hill

MIT-Harvard CINCS / Hamilton Institute Seminar   Date: April 14, 2021 Time: 10AM EDT   Zoom: https://mit.zoom.us/j/98022784494?pwd=dkMwSkd6NzQ5dnZXQUp2MXRrMlRsQT09 Password: 309660   Speaker: Professor Raquel Hill, Spelman College     Title:...

MIT-Harvard CINCS / Hamilton Institute Seminar – Ali Jadbabaie, MIT

MIT-Harvard CINCS / Hamilton Institute Seminar   Date: March 31st Time: 10AM EDT   Zoom: https://mit.zoom.us/j/92705859492?pwd=SkpSL3ZvMXl1c1NudHhtOEwyQ2VEdz09 Password: 019447   Speaker: Ali Jadbabaie, MIT   Title: Persuasion, new sharing and spread of...

MIT-Harvard Communications Information Networks Circuits and Signals (CINCS) / Hamilton Institute Seminar – Dr. Nadia Fawaz

Zoom: https://mit.zoom.us/j/92075881660?pwd=bnNud0lHUWRTYS83d3lTOWIzVnVwQT09 Password: 081943   Title: Inclusive Search and Recommendations   Speaker: Nadia Fawaz, Pinterest   Abstract: Machine learning powers many advanced search and recommendation systems,...

MIT-Harvard Communications Information Networks Circuits and Signals (CINCS) / Hamilton Institute Seminar – Dr. Rachel Cummings

MIT-Harvard Communications Information Networks Circuits and Signals (CINCS) / Hamilton Institute Seminar   Date: March 10th, 2021 Time: 10 AM EST   Zoom: https://mit.zoom.us/j/96232437975?pwd=cWZPRXVRcTNkSG52OHl4M0Mvb1I0UT09 Password: 995112   Title: "I need a...

MIT-Harvard Communications Information Networks Circuits and Signals (CINCS) / Hamilton Institute Seminar – R. Srikant

Zoom: https://mit.zoom.us/j/92065237944?pwd=c1EyenFQU3NrWTJ4RW80OXR2c3NBUT09 Password: 004844   Title: Sample Complexity and Overparameterization Bounds for Neural Temporal Difference Learning   Speaker: R. Srikant, UIUC   Abstract: We will consider the...

MIT-Harvard CINCS / Hamilton Institute Seminar – Christina Fragouli

Speaker: Christina Fragouli, UCLA Title: Gaussian mmWave Networks and Group Testing Abstract: In this talk we briefly present two (disparate) topics.   We will first introduce community aware group testing. Traditional group testing assumes that...

MIT-Harvard CINCS / Hamilton Institute Seminar – Tara Javidi

Title: Black-box Zeroth Order Optimization (in Theory and in Practice) Abstract: In this talk, we will consider the problem of maximizing a black-box function via noisy and costly queries from a theoretical perspective (a lot of it) as well as applications (an...

MIT-Harvard CINCS / Hamilton Institute Seminar – Sean Meyn

Speaker: Sean Meyn, University of Florida Title: Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation Abstract: The ODE method has been a workhorse for algorithm design and analysis since the introduction of the stochastic...

MIT-Harvard CINCS / Hamilton Institute Seminar – Todd P. Coleman

Speaker: Todd P. Coleman, UCSD Title: Electrical Digestive Engineering Abstract: Gastrointestinal (GI) problems are the second leading cause for missing work or school after the common cold, giving rise to 10 percent of the reasons a patient visits their physician and...

Publications

15 Network Functional Compression

S Feizi, M Médard – Information-Theoretic Methods in Data …, 2021 – books.google.com
4 days ago – In this chapter, 1 we study the problem of compressing for function
computation across a network from an information-theoretic point of view. We refer to this
problem as network functional compression. In network functional compression, computation …

Stream Distributed Coded Computing

A Cohen, G Thiran, H Esfahanizadeh… – arXiv preprint arXiv …, 2021 – arxiv.org
6 days ago – The emerging large-scale and data-hungry algorithms require the
computations to be delegated from a central server to several worker nodes. One major
challenge in the distributed computations is to tackle delays and failures caused by the …

Differential Privacy for Binary Functions via Randomized Graph Colorings

RGL D’Oliveira, M Médard, P Sadeghi – arXiv preprint arXiv:2102.05172, 2021 – arxiv.org
27 days ago – We present a framework for designing differentially private (DP) mechanisms
for binary functions via a graph representation of datasets. Datasets are nodes in the graph
and any two neighboring datasets are connected by an edge. The true binary function we …

Spatial Concentration of Caching in Wireless Heterogeneous Networks

D Malak, M Médard, JG Andrews – IEEE Transactions on …, 2021 – ieeexplore.ieee.org
53 days ago – We propose a decentralized caching policy for wireless heterogeneous
networks that makes content placement decisions based on pairwise interactions between
cache nodes. We call our proposed scheme γ-exclusion cache placement (GEC), where a …

Robust Improvement of the Age of Information by Adaptive Packet Coding

M CostaY SagduyuT ErpekM Médard – arXiv preprint arXiv:2012.05172, 2020 – arxiv.org
26 days ago – We consider a wireless communication network with an adaptive scheme to
select the number of packets to be admitted and encoded for each transmission, and
characterize the information timeliness. For a network of erasure channels and discrete time …

People

Wei An

Doctoral Student
office: 36-512A
email: wei_an@mit.edu

Benoit Pit-Claudel

Doctoral Student
office: 36-512
email: bpitcla@mit.edu
website: https://pit-claudel.fr/benoit/

Alejandro Cohen

Postdoctoral Associate
office: 36-512N
email: cohenale@MIT.EDU
website: https://sites.google.com/view/alejandrocohen/home

Rafael G. L. D'Oliveira

Postdoctoral Associate
office: 36-512Q
Email: rafaeld@mit.edu
website: http://www.mit.edu/~rafaeld/

Homa Esfahanizadeh

Postdoctoral Associate
office: 36-512L
email: homaesf@MIT.EDU
website: https://homaesfahanizadeh.com/

Litian Liu

Doctoral Student
office: 36-512
email: litianl@mit.edu
website: https://sites.google.com/view/litianliu

Basak Ozaydin

Doctoral Student
office: 36-512
email: bozaydin@mit.edu
website: https://sites.google.com/view/basakozaydin/home

Amit Solomon

Doctoral Student
office: 36-512A
email: amitsol@mit.edu
website: https://sites.google.com/view/amitsolomon/home

Kathleen Yang

Doctoral Student
office: 36-512A
email:klyang@MIT.EDU
website: ktljyang.github.io

Teaching

Current:

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

Contact

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

617.253.3167—Tel
617.258.7864—Fax

 

Molly Kruko
Administrative Assistant
Room 36-512C
617.253.6171