Faculty Directory

Barg, Alexander

Barg, Alexander

Electrical and Computer Engineering
The Institute for Systems Research
2361 A.V. Williams Bldg.

Alexander Barg is a Professor in the Department of Electrical and Computer Engineering with a joint apppointment at the Institute for Systems Research. He is also an adjunct professor in the Department of Computer Science. He received a Ph.D. in electrical engineering from the Institute for Problems in Information Transmission (IPPI) of the Russian Academy of Sciences, Moscow. He has been a senior reseacher at the IPPI since 1987. He was a member of technical staff of Bell Laboratories of Lucent Technologies in 1997-2002 before joining the faculty at UMD.

Barg is a member of the editorial board of Problems of Information Transmission, SIAM Journal on Discrete Mathematics, and Advances of Mathematics in Communication. He has previously served as an editor for coding theory of the IEEE Transactions on Information Theory. He was organizer of the DIMACS Workshops "Codes and Association Schemes" (1999) and "Algebraic Coding Theory and Information Theory" (2003) and served Technical Program Co-Chair of the IEEE International Symposium on Information Theory, Seattle, WA (2006).

Honors and awards

Richard W. Hamming Medal, IEEE, 2024

IEEE Information Theory Society Paper Award, 2015

IEEE Fellow (2008)

Editorial Board, Advances in Mathematics of Communication, 2006 - present

Editorial Board, Serdica, Journal of Computing, 2005 - present

Editorial Board, SIAM Journal on Discrete Mathematics, 2004 - present

Editorial Board, Problems of Information Transmission, 1993 - present

Editorial Board, IEEE Transactions on Information Theory, 1997 - 2000




Coding theory, information theory, combinatorics, geometry, cryptography, and applied problems in communications, storage, and data protection. Current topics include channel models and error correction for memories and storage; private distribution estimation.

Barg honored with 2024 IEEE Richard W. Hamming Medal

The medal is the highest IEEE-wide award for exceptional contributions to information sciences, systems and technology.

Barg is PI for new quantum LDPC codes NSF grant

The project studies a class of quantum codes known as low-density parity-check codes, promising contenders for facilitating fault-tolerant computations.

ECE Names 2022-2023 Distinguished Dissertation Fellows

Fellowship recognizes excellence in research

New quantum framework yields generalizations of bosonic ‘cat codes’

The codes are particular instances of quantum versions of spherical codes, a family well known in classical coding theory.

New data coding methods for large data centers

With new NSF funding, Alexander Barg will construct methods to recover data when individual servers fail.

Barg receives NSF grant to investigate coding-theoretic methods

The project aims at new characterizations and applications of uniformly distributed sets of binary sequences.

Ye, Barg win IEEE Data Storage Best Paper Award

The paper was published in IEEE Transactions on Information Theory, and was part of Ye's doctoral thesis.

Barg is principal investigator for new NSF information recovery award

The project addresses data storage issues connected with modern, large-scale distributed storage systems.

Alexander Barg receives NSF grant to study theoretic aspects of local data recovery

The project addresses fundamental problems in data coding that can improve distributed storage systems.

Grad student Min Ye is finalist in Bell Labs Shannon competition

A student of Alexander Barg, Ye will present his work on coding solutions for distributed storage.

Barg, Tamo named winners of IEEE Information Theory Society Paper Award

Award was given for their paper, "A family of optimal locally recoverable codes."

Itzhak Tamo Accepts Assistant Professorship

Tamo, a post-doc in ECE and ISR under Professor Barg, will join the Department of Electrial Engineering Systems at Tel Aviv University.

Barg receives NSF grant to develop better methods of storing large amounts of data

The research will develop more efficient data management procedures for large-scale distributed storage systems.

Alum Ara Mazumdar begins position at University of Minnesota

The 2011 Ph.D. alumnus was a student of Professor Alexander Barg (ECE/ISR).

Alexander Barg receives NSF grant for polar code research

Research will address the properties of polar codes in nonbinary communication channels.

Alexander Barg awarded NSF grant to develop genotyping theory

Theory also will have applications in channel analysis, fingerprinting and identification coding, and error-control coding.

Arya Mazumdar wins information theory student paper prize

Ph.D. student wins for paper co-written with advisor Alexander Barg.

Alexander Barg receives NSF grant for improving error-correcting coding

Research could lead to faster methods of information transmission over the Internet and in flash memory and other storage systems.

Fourteen ISR-affiliated students receive Ph.D.s

Congratulations to our ISR-affiliated doctoral graduates!

Barg wins NSF grant for applications of coding theory to digital circuit design

Research will benefit technologies from circuits and memory chips to VLSI architectures.

Barg gains NSF grant to study point allocations

Research explores multivariate positive definite polynomials and their applications via SDP.

ECE Faculty Honored at Inaugural Scholarship & Research Celebration

Twenty-seven ECE faculty members honored, representing 1/8 of researchers recognized university-wide.

Alexander Barg elected IEEE Fellow

Professor is recognized for contributions to coding theory.

Barg receives NSF theoretic analysis grant

Research involves information theory and code design for digital fingerprinting.

InterDigital becomes ISR strategic partner

Company to collaborate with Professors Narayan, Barg

Narayan earns NSF grants for wireless research

Research focuses on free-space optical and radio frequency wireless hybrid communication systems.

Alexander Barg joins ISR faculty

Research interests are in coding, information theory, algorithms and cryptography

Institute of Electrical and Electronics Engineers (IEEE)

  • Fellow, 2007