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Dr. Nariman Adel Hussein Assistant Professor Faculty of Computing and Information Sciences |
Biography
I received the B.Sc., M.Sc., and Ph.D. degrees from the Department of Information Systems, Faculty of Computers and Artificial Intelligence, Cairo University, in 2005, 2014, and 2023 respectively. My research interests include big data analytics, data warehousing, data mining, database systems, social network analysis, graph theory, transaction processing systems, and shared-memory multiprocessors.
Education
⦁ Ph.D. in Information Systems, Faculty of Computers and Artificial Intelligence, Cairo University.
⦁ MSc. in Information Systems, Faculty of Computers and Artificial Intelligence, Cairo University.
⦁ Bachelor of Information Systems, Faculty of Computers and Artificial Intelligence, Cairo University.
Courses Taught
- C# (console and windows) Applications
- ADO.NET
- ASP.NET Web Applications
- XML web Services, COM+ Applications
- SQL Server (Query and programming)
- Creating Reports Using SQL Server
- Modeling Business requirements to create DB and Analyzing Requirements and Defining MS solution Architectures.
Publications
⦁ Hoda M. O. Mokhtar, and Nariman Adel Hussein. “Transaction Processing Using Thread-to- Metadata”. Proceedings of the 16thInternational Database Engineering & Applications Symposium; Association for Computing Machinery: New York, NY, USA, 2012; IDEAS ’12, p. 230–234.
⦁ Hoda M. O. Mokhtar, and Nariman Adel Hussein. “A Novel Mechanism for Enhancing Software Transactional Memory”. Proceedings of the 18th International Database Engineering & Applications Symposium; Association for Computing Machinery: New York, NY, USA, 2014; IDEAS’14,320pp. 278–283.
⦁ Nariman Adel Hussein, Hoda M. O. Mokhtar, and Mohamed E. ElSharkawi. “Influential Attributed Communities Search in Large Networks (InfACom)”. In: IEEE Access 9 (2021), pp. 123827–123846.
⦁ Nariman Adel Hussein, Hoda M. O. Mokhtar, and Mohamed E. ElSharkawi. “Influential Attributed Communities via Graph Convolutional Network (InfACom-GCN)”. In: Information 13.10 (2022). ISSN:2078-2489.