Nehad Mohamed Abdel Rahman

Tabs

Summary

Dr. Nehad M. Abdel Rahman Ibrahim is a lecturer in Computer Science and
Information Technology College at Imam Abdulrahman bin Faisal University,
Dammam, Saudi Arabia from 2016. He received his B.Sc. in systems and
computer engineering from Al-Azhar University-Egypt in 1997. He has served as
the software development manager at First Egyptian Inc. from 2008-2014. He
received his M. Sc. degree in systems and computer engineering from Al-Azhar
University-Egypt in 2008 (Distributed Object-Oriented Database). He received
his PhD. in systems and computer engineering from Al-Azhar University-Egypt
in 2020 (Text Mining of Arabic Content on The Web). He published many papers
in fields such as Natural Language Processing and artificial intelligence
applications.

Publications

E-Triage Systems for COVID-19 Outbreak: Review and Recommendations
Sensors | Free Full-Text | E-Triage Systems for COVID-19 Outbreak: Review
and Recommendations (mdpi.com)
April, 2021
Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques:
Challenges and Opportunities IEEE Access (July 2021),
D.O.I: 10.1109/ACCESS.2021.3097559
Applications of Big Data Analytics to Control COVID-19
Pandemic https://www.mdpi.com/1424-8220/21/7/2282
March, 2021
Supervised Machine Learning-based Prediction of COVID-19 Jun 2021
Computers, Materials and Continua

Supervised Machine Learning-based Prediction of COVID-19 Computers, Materials
and Continua 69(1)
2021

Digital Library of Online PDF Sources: An ETL Approach IJCSNS International
Journal of Computer Science and Network Security, VOL.20 No.11, November 2020
A New Model for Arabic Text Clustering by Word Embedding and Arabic Word
Net Saudi Journal of Engineering and Technology (Saudi J Eng Technol)
Scholars Middle East Publishers, Dubai, United Arab Emirates, 17/10/2019,
DOI: 10.36348/SJEAT.2019.v04i10.001
Text Mining using Deep Learning Article Review International Journal of
Scientific & Engineering Research Volume 9, Issue 9, September-2018
New Approach for Text Mining of Arabic on the Web IJCSIS(Vol. 15 No. 3 March
2017).
Insuring Locality: A load balancing protocol for fully replicated system In
Proceedings of the ninth International Conference for Faculty of Engineering
- Al Azhar University. Egypt, Cairo April 2007.

Qualifications

Computer Science Lecturer
AI Researcher
Software Development Manager

Research

E-Triage Systems for COVID-19 Outbreak: Review and Recommendations

Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques:
Challenges and Opportunities
Applications of Big Data Analytics to Control COVID-19 Pandemic
Supervised Machine Learning-based Prediction of COVID-19
Supervised Machine Learning-based Prediction of COVID-19
Digital Library of Online PDF Sources: An ETL Approach
A New Model for Arabic Text Clustering by Word Embedding and Arabic Word Net
Text Mining using Deep Learning Article Review
New Approach for Text Mining of Arabic on the Web
Insuring Locality: A load balancing protocol for fully replicated system