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.

Grant to Improve Data Reliability

Research could improve error-correction coding for Internet data transmission, data storage.

Institute of Electrical and Electronics Engineers (IEEE)

  • Fellow, 2007