On Tuesday, June 17, 2025, a Master\u2019s thesis titled \u201cMachine Learning-Enabled Signal Processing for Communication Systems\u201d was defended by student Manar Talal Muhammad Ali at the College of Electronics Engineering, Department of Computer and Informatics Engineering, University of Nineveh.<\/p>\n\n\n\n
The research was carried out in line with the directives of Prof. Dr. Osama Al-Mashhadani, President of the University of Nineveh, to promote international academic collaboration. The study was conducted in partnership with Nottingham Trent University (NTU) in the United Kingdom. The thesis defense was attended by Prof. Dr. Jaafar Ramadan Muhammad, Assistant University President for Scientific Affairs, and Prof. Dr. Khaled Khalil Muhammad, Dean of the College of Electronics Engineering.<\/p>\n\n\n\n
The thesis examined In-Band Full-Duplex (IBFD) communication as a promising solution to enhance spectral efficiency and data throughput, particularly in bandwidth-constrained environments. The study focused on applying Machine Learning (ML)-based Self-Interference Cancellation (SIC) techniques to effectively mitigate the Self-Interference (SI) inherent in IBFD systems.<\/p>\n\n\n\n
The research concluded that ML-based SIC techniques achieved notable improvements in interference cancellation rates and spectral efficiency, resulting in enhanced overall system performance when compared to conventional techniques.<\/p>\n\n\n\n
\u2e3b<\/p>\n\n\n\n
Thesis Committee
1. Assist. Prof. Dr. Muhammad Hazem Al-Jammas \u2013 Chair
2. Assist. Prof. Dr. Sidqi Bakr Dhannon \u2013 Member
3. Assist. Prof. Dr. Ahmed Muhammad Ahmed Salama \u2013 Member
4. Assist. Prof. Dr. Bilal Alaa Al-Din Jabr \u2013 Member & Primary Supervisor
(All from the University of Nineveh \/ College of Electronics Engineering)
5. Prof. Dr. Charalambos Tsimenidis \u2013 Nottingham Trent University, UK (Co-Supervisor)<\/p>\n","protected":false},"excerpt":{"rendered":"
On Tuesday, June 17, 2025, a Master\u2019s thesis titled \u201cMachine Learning-Enabled Signal Processing for Communication Systems\u201d was defended by student Manar Talal Muhammad Ali at the College of Electronics Engineering, […]<\/p>\n","protected":false},"author":49,"featured_media":27663,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[695,1,675,697],"tags":[],"class_list":["post-27706","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-695","category-1","category-ce","category-697"],"yoast_head":"\n