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Ahmed A. Belal

dblp:06/6438 · DBLP profile ↗
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7ranked-venue papers
5as first author
0since 2021 · last 2019
0000-0002-3854-6039ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 3 · 3 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Coding theory · 95% Algorithms and data structures · 5%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › source coding › variable-length codes › prefix codes
optimal prefix code
0.422019
Optimal prefix codes with fewer distinct codeword lengths are faster to construct · Inf. Comput. 2019
Verification of minimum-redundancy prefix codes · IEEE Trans. Inf. Theory 2006
Coding theory › error-correcting codes
code construction
0.412019
Optimal prefix codes with fewer distinct codeword lengths are faster to construct · Inf. Comput. 2019
Coding theory › source coding › variable-length codes
prefix codes
0.412019
Optimal prefix codes with fewer distinct codeword lengths are faster to construct · Inf. Comput. 2019
Coding theory
source coding
0.012006
Verification of minimum-redundancy prefix codes · IEEE Trans. Inf. Theory 2006

Methods — techniques the papers use, named apart from their topics

lower bound · 0.1linear-time algorithm · 0.1
YearPublicationVenuePosition
2019 Optimal prefix codes with fewer distinct codeword lengths are faster to construct
Ahmed A. Belal, Amr Elmasry
Inf. Comput.1
2006 Distribution-Sensitive Construction of Minimum-Redundancy Prefix Codes
Ahmed A. Belal, Amr Elmasry
STACS1
2006 Verification of minimum-redundancy prefix codes
abstract
We show that verifying a given prefix code for optimality requires /spl Omega/(nlogn) time, indicating that the verification problem is not asymptotically easier than the construction problem. Alternatively, we give linear-time verification algorithms for several special cases that are either typical in practice or theoretically interesting.
Ahmed A. Belal, Amr Elmasry
IEEE Trans. Inf. Theory1
2005 Secure transmission of sensitive data using multiple channels
abstract
Summary form only given. A new scheme for transmitting sensitive data is proposed, the proposed scheme depends on partitioning the output of a block encryption module using the Chinese Remainder Theorem among a set of channels. The purpose of using the Chinese Remainder Theorem is to hide the cipher text in order to increase the difficulty of attacking the cipher. The proposed scheme assumes the existence of a set of transmission channels between the sender and the receiver parties from which S channels are chosen using some selection criteria. The message is divided into as set of blocks of a size that is a multiple of the size of the underlying block cipher block size. The resulting N bit encrypted block is used as an N-bits integer. This integer remainders with respect to S selected relatively prime numbers are sent over the S selected channels. On the receiver side the inverse Chinese remainder is applied to get the encrypted blocks followed by a decryption operation to construct the original message. The theory, implementation and the security of this scheme are described in the paper.
Abdelhamid S. Abdelhamid, Ahmed A. Belal
AICCSA2
2005 Finding maximum-cost minimum spanning trees
abstract
Summary form only given. Consider the scenario in which a start-up communication company charges its network users by the cost of the minimum spanning tree (MST) they use in their protocols. Wanting to increase their profits, they aim at maximizing the cost of the MST of their network. We consider two different cases. In the first case, the company has a set of links with fixed cost vector W and wants to configure the network so that the MST of the network has the maximum possible cost. In the second case, the network topology is fixed, but the costs on the links assume d different values W/sub 1/, W/sub 2/, ..., W/sub d/ over the day. The company wants to fix the link costs to a value W~ = /spl Sigma//sub i/ p/sub i/ w/sub i/, for some weights p/sub 1/, p/sub 2/, ..., p/sub d/ where 0 /spl les/ p/sub i/ /spl les/ 1 and /spl Sigma//sub i/p/sub i/ = 1, so that the resulting network has a maximum-cost MST.
Ahmed A. Belal, Amr Elmasry
AICCSA1
1998 Reaching the Bound in the (2, n) merging Problem
Ahmed A. Belal, Amr Elmasry
Inf. Sci.1
1997 Optimal Insertion in Two-Dimensional Arrays
Magdy A. Ahmed, Ahmed A. Belal, Khalil M. Ahmed
Inf. Sci.2