TabsالملخصDr. Nehad M. Abdel Rahman Ibrahim is a lecturer in Computer Science andInformation Technology College at Imam Abdulrahman bin Faisal University,Dammam, Saudi Arabia from 2016. He received his B.Sc. in systems andcomputer engineering from Al-Azhar University-Egypt in 1997. He has served asthe software development manager at First Egyptian Inc. from 2008-2014. Hereceived his M. Sc. degree in systems and computer engineering from Al-AzharUniversity-Egypt in 2008 (Distributed Object-Oriented Database). He receivedhis PhD. in systems and computer engineering from Al-Azhar University-Egyptin 2020 (Text Mining of Arabic Content on The Web). He published many papersin fields such as Natural Language Processing and artificial intelligenceapplications. إصداراتE-Triage Systems for COVID-19 Outbreak: Review and RecommendationsSensors | Free Full-Text | E-Triage Systems for COVID-19 Outbreak: Reviewand Recommendations (mdpi.com)April, 2021Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques:Challenges and Opportunities IEEE Access (July 2021),D.O.I: 10.1109/ACCESS.2021.3097559Applications of Big Data Analytics to Control COVID-19Pandemic https://www.mdpi.com/1424-8220/21/7/2282March, 2021Supervised Machine Learning-based Prediction of COVID-19 Jun 2021Computers, Materials and Continua Supervised Machine Learning-based Prediction of COVID-19 Computers, Materialsand Continua 69(1)2021 Digital Library of Online PDF Sources: An ETL Approach IJCSNS InternationalJournal of Computer Science and Network Security, VOL.20 No.11, November 2020A New Model for Arabic Text Clustering by Word Embedding and Arabic WordNet 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.v04i10.001Text Mining using Deep Learning Article Review International Journal ofScientific & Engineering Research Volume 9, Issue 9, September-2018New Approach for Text Mining of Arabic on the Web IJCSIS(Vol. 15 No. 3 March2017).Insuring Locality: A load balancing protocol for fully replicated system InProceedings of the ninth International Conference for Faculty of Engineering- Al Azhar University. Egypt, Cairo April 2007. المؤهلاتComputer Science LecturerAI ResearcherSoftware Development Manager البحث العلميE-Triage Systems for COVID-19 Outbreak: Review and Recommendations Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques:Challenges and OpportunitiesApplications of Big Data Analytics to Control COVID-19 PandemicSupervised Machine Learning-based Prediction of COVID-19Supervised Machine Learning-based Prediction of COVID-19Digital Library of Online PDF Sources: An ETL ApproachA New Model for Arabic Text Clustering by Word Embedding and Arabic Word NetText Mining using Deep Learning Article ReviewNew Approach for Text Mining of Arabic on the WebInsuring Locality: A load balancing protocol for fully replicated system السيرة الذاتية السيرة الذاتيه لـ نهاد محمد عبدالرحمن إبراهيم الشبكات الاجتماعية
