Barg, Alexander
The Institute for Systems Research
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
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.
ECE Names 2022-2023 Distinguished Dissertation Fellows
Fellowship recognizes excellence in researchNew 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."Barg Awarded $300K NSF Grant to Research Data Storage and Recovery Methodologies
Professor Alexander Barg (ECE/ISR) is the principal investigator for a new NSF grant, "Efficient Codes and their Performance Limits for Distributed Storage Systems."Institute of Electrical and Electronics Engineers (IEEE)
- Fellow, 2007