2026 Magdy Bayoumi: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	52	5046	4907	2346	2266	720	11922
Electronics and Electrical Engineering	50	2775	2660	1055	984	673	11286

Research.com Recognitions

1999 - IEEE Fellow For contributions to application specific digital signal processing architectures and computer arithmetic.

Overview

Magdy Bayoumi is affiliated with the University of Louisiana at Lafayette in the United States. Their research portfolio spans multiple areas within computer science and engineering, with a significant focus on computer vision, artificial intelligence, and hardware architecture.

The main fields of study for their work include:

Computer Science
Engineering

Their subfields of study cover specialized domains such as:

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture

Key topics addressed in their research publications are:

Image and Video Quality Assessment
Advanced Memory and Neural Computing
Integrated Circuits and Semiconductor Failure Analysis
Physical Unclonable Functions (PUFs) and Hardware Security
Neural Networks and Applications
Neuroscience and Neural Engineering
Video Coding and Compression Technologies

Their recent papers reflect a diverse range of interests within computational and electronic systems, including:

"A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy," 2021, Frontiers in Computational Neuroscience
"A survey on security in internet of things with a focus on the impact of emerging technologies," 2022, Internet of Things
"Machine Learning-Based Approach for Hardware Faults Prediction," 2020, IEEE Transactions on Circuits and Systems I Regular Papers
"Assessment of a Spatiotemporal Deep Learning Approach for Soil Moisture Prediction and Filling the Gaps in Between Soil Moisture Observations," 2021, Frontiers in Artificial Intelligence
"Designing Novel AAD Pooling in Hardware for a Convolutional Neural Network Accelerator," 2022, IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Frequently publishing in venues such as:

arXiv (Cornell University)
Cluster Computing
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
Internet of Things
IEEE Transactions on Circuits and Systems I Regular Papers

They have collaborated repeatedly with co-authors including:

Kasem Khalil
Ashok Kumar
Mahmoud Darwich
Bappaditya Dey
Zag ElSayed

In recognition of their professional contributions, Magdy Bayoumi was awarded the IEEE Fellow distinction in 1999 for contributions to application specific digital signal processing architectures and computer arithmetic.

Best Publications

Performance analysis of low-power 1-bit CMOS full adder cells

A.M. Shams;T.K. Darwish;M.A. Bayoumi

727
Citations
Design of Robust, Energy-Efficient Full Adders for Deep-Submicrometer Design Using Hybrid-CMOS Logic Style

S. Goel;A. Kumar;M.A. Bayoumi

615
Citations
Efficient Epileptic Seizure Prediction Based on Deep Learning

Hisham Daoud;Magdy A. Bayoumi

439
Citations
High-performance and low-power conditional discharge flip-flop

Peiyi Zhao;T.K. Darwish;M.A. Bayoumi

326
Citations
A novel high-performance CMOS 1-bit full-adder cell

A.M. Shams;M.A. Bayoumi

311
Citations
Low-Power Cache Design Using 7T SRAM Cell

R.E. Aly;M.A. Bayoumi

229
Citations
A survey on security in internet of things with a focus on the impact of emerging technologies

Unknown

190
Citations
The hierarchical hypercube: a new interconnection topology for massively parallel systems

Q.M. Malluhi;M.A. Bayoumi

184
Citations
A VLSI implementation of residue adders

M. Bayoumi;G. Jullien;W. Miller

183
Citations
A new cell for low power adders

E. Abu-Shama;M. Bayoumi

168
Citations
A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy.

Ahmed M. Abdelhameed;Magdy A. Bayoumi

165
Citations
Design methodologies for high-performance noise-tolerant XOR-XNOR circuits

S. Goel;M.A. Elgamel;M.A. Bayoumi;Y. Hanafy

149
Citations
NEDA: a low-power high-performance DCT architecture

A.M. Shams;A. Chidanandan;W. Pan;M.A. Bayoumi

129
Citations
Low-Power Clock Branch Sharing Double-Edge Triggered Flip-Flop

Peiyi Zhao;J. McNeely;P. Golconda;M.A. Bayoumi

123
Citations
A low power 10-transistor full adder cell for embedded architectures

A.A. Fayed;M.A. Bayoumi

120
Citations
Discrete Wavelet Transform: Architectures, Design and Performance Issues

Michael Weeks;Magdy Bayoumi

110
Citations
Fast Motion Estimation System Using Dynamic Models for H.264/AVC Video Coding

Y. Ismail;J. B. McNeely;M. Shaaban;H. Mahmoud

105
Citations
Lightweight Cryptography for Internet of Insecure Things: A Survey

Indira Kalyan Dutta;Bhaskar Ghosh;Magdy Bayoumi

104
Citations
Data Fusion in WSN

Ahmed Abdelgawad;Magdy Bayoumi

100
Citations
Fast and flexible architectures for RNS arithmetic decoding

K.M. Elleithy;M.A. Bayoumi

95
Citations
Learning on Silicon: Adaptive VLSI Neural Systems

Magdy A. Bayoumi;Gert Cauwenberghs

94
Citations
Machine Learning-Based Approach for Hardware Faults Prediction

Kasem Khalil;Omar Eldash;Ashok Kumar;Magdy Bayoumi

93
Citations
Interconnect noise analysis and optimization in deep submicron technology

M.A. Elgamel;M.A. Bayoumi

91
Citations

Frequent Co-Authors

Hongyi Wu University of Arizona

Gert Cauwenberghs University of California, San Diego

Rajkumar Buyya University of Melbourne

Ram Krishnamurthy Intel (United States)

Mircea R. Stan University of Virginia

Yong Lian York University

Massimo Alioto National University of Singapore

Edgar Sanchez-Sinencio Texas A&M University

Farinaz Koushanfar University of California, San Diego

Yen-Kuang Chen Alibaba Group (China)

External Links

Personal website of Magdy Bayoumi

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