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.
Institute of Electrical and Electronics Engineers (IEEE)
- Fellow, 2007
- Coding-theoretic methods in discrepancy and energy optimization, with applications
- From Storage Codes to Recoverable Systems
- NSF: CIF: Information Recovery Under Connectivity and Communication Constraints
- Computing and Communication Foundations: Coding and Information - Theoretic Aspects of Local Data Recovery
- NSF CIF: Efficient Codes and their Performance Limits for Distributed Storage Systems
- NSF Collaborative Research: A General Theory of Group Testing for Genotyping
- Ordered Metrics and Their Applications
- New Approaches to the Design and Analysis of Graphical Models for Linear Codes and Secret Sharing Schemes
- NSF Collaborative Research: Multivariate positive definite polynomials and their applications via SDP
- NSF: Collaborative Research: Coding for Nano-Devices, Flash Memories, and VLSI Circuits