Faculty of Computers & Artificial Intelligence

Dr. Esraa Ahmed Abdel Wahab

Contact Information
Phone number: 084 6379562 - 084 6379569
Fax number: 084 6370025
E-mail Address: eaa06@fayoum.edu.eg
Office: Faculty computers - Information Systems Section
Post Address: Fayoum University – Department of InformationSystems- Faculty of Computers & Information
POBox: 63514
Academic Qualifications
B.Sc. Information Systems - Faculty of Computers and information - Fayoum University - 2012
M.Sc. Information Systems - Faculty of Computers and information - Cairo University - 2018
Academic Positions
Demonstrator: From 2013 To 2018
Assistant Lecturer: From 2018 To 2022
Lecturer: From 2022 Until Now
Thesis
An improved Database Moving Objects Indexing for Efficient Query Processing
Cross-language Semantic Similarity Approach For Arabic-English Text
List Of Publication
Esraa Rslan, Mohamed H.Khafagy, Mostafa Ali, Kamran Munir and Rasha M.Badry, “AgroSupportAnalytics: big data recommender system for agricultural farmer complaints in Egypt”, International Journal of Electrical and Computer Engineering (IJECE), 2022
Esraa Rslan, Mohamed H.Khafagy, Kamran Munir and Rasha M.Badry, “English Semantic Similarity based on Map Reduce Classification for Agricultural Complaints”, International Journal of Advanced Computer Science and Applications, Vol. 12, 2021
Esraa Rslan, Hala Abdel Hameed, and Ehab Ezzat. (2018). “An efficient hybridized index technique for moving object database”. Spatial Information Research. 26. 10.1007/s41324-018-0198-7.
Esraa Rslan, Hala Abdel Hameed, and Ehab Ezzat. (2017). "Spatial Rtree Index Based On Grid Division For Query Processing." International Journal of Database Management Systems (IJDMS) 9.6 25-36.
OTHER CERTIFICATION AND COURSES ATTENDED
Cisco trainer of CCNA R&S.
Cisco trainer of CCNA Security course.
Cisco trainer of IoT Fundamentals: Connecting Things.
Cisco trainer of IoT Fundamentals: Big Data & Analytics.
Cisco trainer of IoT Fundamentals: IoT Security.
Cisco trainer of Programming Essentials in Python.
TECHNICAL SKILLS
Operating systems: MS Windows & linux.
Desktop Programming languages: C++, Visual C++, Java, C#.NET.
Development Tools: MS Visual Studio 2015, MS Visual Studio 2019.
Database Tools : MS SQL Sever, Mysql.
Web Programming: ASP.NET, PHP, HTML, Javascript,CSS.
Logic programming: SWI-Prolog.
RESEARCH INTERESTS
Big Data.
IoT.
NLP.
Networking.
Data mining.
Distributed Database.