E.M.Saad

E.M.Saad

Helwan University

H-index: 15

Africa-Egypt

About E.M.Saad

E.M.Saad, With an exceptional h-index of 15 and a recent h-index of 9 (since 2020), a distinguished researcher at Helwan University, specializes in the field of Digital Signal Processing, Computer Engineering Hardware, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Design a Low Phase Noise Voltage Control Oscillator with Split-Length Approach

A Straggler Identification Model for Large-Scale Distributed Computing Systems Using Machine Learning

An optimized straggler mitigation framework for large-scale distributed computing systems

Importance of memory management layer in big data architecture

Automated security assessment for IDaas framework

Energy-efficient task partitioning for real-time scheduling on multi-core platforms

A smart energy and reliability aware scheduling algorithm for workflow execution in DVFS-enabled cloud environment

Memory management approaches in apache spark: A review

E.M.Saad Information

University

Position

Professor of Electronic CircuitsFaculty of Engineering

Citations(all)

947

Citations(since 2020)

348

Cited By

737

hIndex(all)

15

hIndex(since 2020)

9

i10Index(all)

27

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

E.M.Saad Skills & Research Interests

Digital Signal Processing

Computer Engineering Hardware

Artificial Intelligence

Top articles of E.M.Saad

Design a Low Phase Noise Voltage Control Oscillator with Split-Length Approach

2023/9/27

A Straggler Identification Model for Large-Scale Distributed Computing Systems Using Machine Learning

2022/11/18

An optimized straggler mitigation framework for large-scale distributed computing systems

IEEE Access

2022/9/12

Importance of memory management layer in big data architecture

Int. J. Adv. Comput. Sci. Appl

2022

Automated security assessment for IDaas framework

Wireless Personal Communications

2021/2

Energy-efficient task partitioning for real-time scheduling on multi-core platforms

2021

A smart energy and reliability aware scheduling algorithm for workflow execution in DVFS-enabled cloud environment

Future Generation Computer Systems

2020/11/1

Memory management approaches in apache spark: A review

2020/9/20

See List of Professors in E.M.Saad University(Helwan University)