The Institute of Informatics for Postgraduate Studies (IIPS) at the University of Information Technology and Communications (UoITC) discussed the doctoral dissertation submitted by student Ahmed Yaseen Mohammed, in the field of Computer Science, entitled:
“Indoor Surveillance System for Suspicious and Dangerous Behaviors Detection Using Machine Learning”

The dissertation aimed to develop an intelligent internal monitoring system capable of improving the accuracy and efficiency of detecting suspicious and high-risk behaviors by employing machine learning techniques and addressing the key challenges facing modern AI-powered surveillance systems, foremost among them catastrophic forgetting, limited adaptability to changing conditions, and the inability to generate interpretable context-aware narratives.

The dissertation proposed a hybrid distributed cloud-based framework, designed to function as a hierarchical digital neural system, thereby enhancing the performance of detection systems and improving their ability to analyze behaviors and respond to them with greater accuracy and reliability.

At the conclusion of the dissertation defense, and following deliberation by the chair and members of the examination committee, the candidate was awarded a Doctor of Philosophy (Ph.D.) in Computer Science with a grade of Very Good.