The Computer Science Department discussed the tagged master's thesis Abnormal driving behavior classification based on adaptive Dense Net For master’s student Aisha Iyad Ahmed/Computer Science/Software in the discussion room in the Computer Science Annex building. The thesis aims to use advanced deep learning techniques, especially Dense Net, to create an adaptive model that can detect abnormal driving behaviors and classify them accurately, leading to safer roads for everyone and reducing traffic accidents. The discussion committee consisted of Prof. Dr. Bilal Ismail Khalil as chairman, Prof. Ikhlas Faleh Nasser as members, Prof. Azra Jassim Muhammad, and Prof. Mathil Imad Al-Din as member and supervisor.

The Head of the Computer Science Department, Professor Dr. Alaa Kazem Farhan, received thanks and appreciation from the President of the University of Technology, Professor Dr. Ahmed Muhammad Hassan Al-Ghaban, in appreciation of his outstanding efforts in publishing the tagged scientific research. Retriving Encryption Iamges Using Convolution Neural Network and Fully Homomorphic Encryption Marked scientific research Secure QR-Code Generation Healthcare In two discreet magazines indexed in the Scopus database, wishing him continued success and success in serving our dear country.

With the blessing of God Almighty and under the direct supervision of the Department Head, Professor Dr. Alaa Kazem Farhan, the doctoral students in the Department of Computer Science took today, Sunday, 10/15/2023, the written comprehensive exam for the successful doctoral students from the first round. The exam was held in the graduate studies hall in the presence of the scientific assistant. Professor Dr. Abeer Tariq Mouloud and Director of the Graduate Studies Division, Rasha Ismail.