{"id":20860,"date":"2025-12-08T21:19:41","date_gmt":"2025-12-08T18:19:41","guid":{"rendered":"https:\/\/su.edu.ye\/fcit\/?p=20860"},"modified":"2025-12-08T21:19:41","modified_gmt":"2025-12-08T18:19:41","slug":"masters-degree-awarded-to-ms-nada-noaman-in-information-technology","status":"publish","type":"post","link":"https:\/\/su.edu.ye\/fcit\/en\/20860\/","title":{"rendered":"Master\u2019s Degree Awarded to Ms. Nada Noaman in Information Technology"},"content":{"rendered":"

Ms. Nada Noaman Saeed Alwa was awarded a Master\u2019s Degree in Information Technology for her thesis titled: Intelligent Algorithm to Improve Secure Offloading in UAVs, which was submitted to the Department of Information Technology, Faculty of Computer Science \u2013 Sana\u2019a University. The MA defense was held on Saturday, November 22, 2025.<\/p>\n

The MA Viva-voce Committee, which was formed based on a resolution issued by the Graduate Studies and Scientific Research Council, consisted of the following:
\n#
\nCommittee Members
\nDesignation
\nPosition<\/p>\n

1
\nProf. Naji Ali Al-Shaibani
\nInternal Examiner
\nChair<\/p>\n

2
\nProf. Ibrahim Ahmed Al-Balta
\nMain Supervisor
\nMember<\/p>\n

3
\nAssoc. Prof. Ibrahim Abdullah Al-Sermi
\nExternal Examiner
\nMember<\/p>\n

The study aimed to enhance data-offloading security in systems supported by unmanned aerial vehicles (UAVs).
\nThe main findings of the study demonstrated an improvement in the security level of the data offloading process.
\nIn light of these findings, the researcher recommended ensuring scalability for networks containing hundreds of UAVs and providing advanced protection against threats.
\nThe defense session was attended by faculty members, researchers, students, colleagues, and the researcher\u2019s family.<\/p>\n

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