{"id":19996,"date":"2025-11-03T12:19:37","date_gmt":"2025-11-03T09:19:37","guid":{"rendered":"https:\/\/su.edu.ye\/voga\/?p=19996"},"modified":"2025-11-03T12:23:10","modified_gmt":"2025-11-03T09:23:10","slug":"masters-degree-awarded-to-ms-ibtisam-abu-heliqah-in-computer-science","status":"publish","type":"post","link":"https:\/\/su.edu.ye\/voga\/en\/19996\/","title":{"rendered":"Master\u2019s Degree Awarded to Ms. Ibtisam Abu Heliqah in Computer Science"},"content":{"rendered":"<p>Ms. <strong>Ibtisam Nasser Ali Abu Heliqa <\/strong>was awarded a Master&#8217;s degree in <strong>Computer Science<\/strong> for her thesis titled: <strong><em>A Deep Learning-Based Model for Software Vulnerability Detection<\/em><\/strong>, which was submitted to the <strong>Department of Computer Science, Faculty of Computer and Information Technology <\/strong>\u2013 Sana\u2019a University. The MA defense was held on <strong>Sunday, October 26, 2025.<\/strong><\/p>\n<p><strong>\u00a0<\/strong>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:<\/p>\n<table width=\"78%\">\n<tbody>\n<tr>\n<td width=\"4%\"><strong>#<\/strong><\/td>\n<td width=\"56%\"><strong>Committee Members<\/strong><\/td>\n<td width=\"25%\"><strong>Designation<\/strong><\/td>\n<td width=\"13%\"><strong>Position<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"4%\">1<\/td>\n<td width=\"56%\"><strong>Assoc. Prof. Ayed Abdulaziz Ali Mohsen<\/strong><\/td>\n<td width=\"25%\">External Examiner<\/td>\n<td width=\"13%\">Chair<\/td>\n<\/tr>\n<tr>\n<td width=\"4%\">2<\/td>\n<td width=\"56%\"><strong>Prof. Ghaleb Hamoud Al-Jaafari<\/strong><\/td>\n<td width=\"25%\">Main Supervisor<\/td>\n<td width=\"13%\">Member<\/td>\n<\/tr>\n<tr>\n<td width=\"4%\">3<\/td>\n<td width=\"56%\"><strong>Asst. Prof. Fouad Abdullah Murshid<\/strong><\/td>\n<td width=\"25%\">Internal Examiner<\/td>\n<td width=\"13%\">Member<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p>The study aimed to develop an intelligent model that integrates formal methods and software correctness metrics within the frameworks of deep learning and large language models (LLMs).<\/p>\n<p>The Study findings revealed that the proposed model achieved an exceptional detection accuracy rate of 99%, demonstrating its high efficiency and reliability in identifying software vulnerabilities.<\/p>\n<p>Based on the findings, the researcher recommended further enhancement of the model to enable automated vulnerability repair in the future.<\/p>\n<p>The defense session was attended by a number of academics, researchers, and interested participants, colleagues and the researcher\u2019s family members.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-19997\" src=\"https:\/\/su.edu.ye\/ce\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-300x200.jpeg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-300x200.jpeg 300w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-1024x683.jpeg 1024w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-768x512.jpeg 768w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-370x247.jpeg 370w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-270x180.jpeg 270w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-24x16.jpeg 24w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-36x24.jpeg 36w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-48x32.jpeg 48w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-600x400.jpeg 600w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4-272x182.jpeg 272w, https:\/\/su.edu.ye\/voga\/wp-content\/uploads\/sites\/85\/2025\/11\/WhatsApp-Image-2025-11-01-at-11.48.25-PM-4.jpeg 1080w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p><iframe sandbox=\"allow-scripts allow-same-origin allow-popups\" title=\"\u0646\u0645\u0648\u0630\u062c \u0642\u0627\u0626\u0645 \u0639\u0644\u0649 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0644\u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u062b\u063a\u0631\u0627\u062a \u0627\u0644\u0627\u0645\u0646\u064a\u0647 \u0641\u064a \u0627\u0644\u0628\u0631\u0627\u0645\u062c\" width=\"720\" height=\"405\" src=\"https:\/\/www.youtube.com\/embed\/qgb6LG7Jenw?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n\n    <div class=\"xs_social_share_widget xs_share_url after_content \t\tmain_content  wslu-style-1 wslu-share-box-shaped wslu-fill-colored wslu-none wslu-share-horizontal wslu-theme-font-no wslu-main_content\">\n\n\t\t\n        <ul>\n\t\t\t        <\/ul>\n    <\/div> \n","protected":false},"excerpt":{"rendered":"<p>Ms. Ibtisam Nasser Ali Abu Heliqa was awarded a Master&#8217;s degree in Computer Science for her thesis titled: A Deep Learning-Based Model for Software Vulnerability Detection, which was submitted to the Department of Computer Science, Faculty of Computer and Information &hellip; <\/p>\n","protected":false},"author":138,"featured_media":19993,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[121],"tags":[],"class_list":["post-19996","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-2"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"Ms. Ibtisam Nasser Ali Abu Heliqa was awarded a Master&#039;s degree in Computer Science for her thesis titled: A Deep Learning-Based Model for Software Vulnerability Detection, which was submitted to the Department of Computer Science, Faculty of Computer and Information Technology \u2013 Sana\u2019a University. The MA defense was held on Sunday, October 26, 2025. 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