2001 - IEEE Fellow For contributions to the theory and practice of parallel, distributed and fault-tolerant computing.
1995 - Fellow of Alfred P. Sloan Foundation
His main research concerns Algorithm, Discrete mathematics, Error detection and correction, Linear code and Block code. His Algorithm research is multidisciplinary, incorporating elements of Artificial neural network, Real-time computing, Permutation and Code. His studies deal with areas such as Monic polynomial, Stable polynomial, Combinatorics and Parity bit as well as Discrete mathematics.
His Error detection and correction study combines topics in areas such as Code rate, Binary number, Construct, Error floor and Upper and lower bounds. He interconnects Graph theory and Turbo code in the investigation of issues within Linear code. His Block code study is concerned with the larger field of Decoding methods.
His primary areas of study are Algorithm, Discrete mathematics, Decoding methods, Theoretical computer science and Distributed computing. The concepts of his Algorithm study are interwoven with issues in Artificial neural network and Code. His Discrete mathematics study combines topics from a wide range of disciplines, such as Upper and lower bounds and Graph theory, Combinatorics.
He works mostly in the field of Decoding methods, limiting it down to topics relating to Redundancy and, in certain cases, Redundancy. His studies in Distributed computing integrate themes in fields like Computer network and The Internet. His Linear code research is multidisciplinary, incorporating elements of Hamming code, Turbo code, Concatenated error correction code and Low-density parity-check code.
Jehoshua Bruck mostly deals with Algorithm, Decoding methods, Redundancy, Discrete mathematics and Gene duplication. In his study, which falls under the umbrella issue of Algorithm, DNA synthesis is strongly linked to Dna storage. His work deals with themes such as Bandwidth, Theoretical computer science, Error detection and correction and Secret sharing, which intersect with Decoding methods.
His Error detection and correction research incorporates themes from Triple modular redundancy and Erasure. The Redundancy study combines topics in areas such as Redundancy, Binary code, Binary number and Open problem. His research investigates the connection between Discrete mathematics and topics such as Linear code that intersect with issues in Turbo code.
His scientific interests lie mostly in Gene duplication, Decoding methods, Linear code, Discrete mathematics and Algorithm. The study incorporates disciplines such as Theoretical computer science, Homomorphic secret sharing, Shared secret and Redundancy in addition to Decoding methods. His Linear code research is classified as research in Block code.
His Block code study incorporates themes from Error detection and correction and Turbo code. The various areas that Jehoshua Bruck examines in his Discrete mathematics study include Hamming code, Hamming bound and Modulation. His study on Algorithm is mostly dedicated to connecting different topics, such as Redundancy.
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Efficient Exact Stochastic Simulation of Chemical Systems with Many Species and Many Channels
Michael A. Gibson;Jehoshua Bruck.
Journal of Physical Chemistry A (2000)
Redundantes, verteiltes Netzwerksystem
Jehoshua Bruck;Vasken Bohossian;Chenggong Fan;Paul Lemahieu.
Neural network computation with DNA strand displacement cascades
Lulu Qian;Erik Winfree;Jehoshua Bruck.
EVENODD: an efficient scheme for tolerating double disk failures in RAID architectures
M. Blaum;J. Brady;J. Bruck;Jai Menon.
IEEE Transactions on Computers (1995)
Scaffold proteins may biphasically affect the levels of mitogen-activated protein kinase signaling and reduce its threshold properties.
Andre Levchenko;Jehoshua Bruck;Paul W. Sternberg.
Proceedings of the National Academy of Sciences of the United States of America (2000)
X-code: MDS array codes with optimal encoding
Lihao Xu;J. Bruck.
IEEE Transactions on Information Theory (1999)
Rank Modulation for Flash Memories
Anxiao Jiang;R. Mateescu;M. Schwartz;J. Bruck.
IEEE Transactions on Information Theory (2009)
Efficient algorithms for all-to-all communications in multiport message-passing systems
J. Bruck;Ching-Tien Ho;S. Kipnis;E. Upfal.
IEEE Transactions on Parallel and Distributed Systems (1997)
Graphene-based atomic-scale switches.
Brian Standley;Wenzhong Bao;Hang Zhang;Jehoshua Bruck.
Nano Letters (2008)
Distributed server cluster for controlling network traffic
Jehoshua Bruck;Vasken Bohossian;Chenggong Fan;Paul LeMahieu.
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