The two teaching staff, Professor Dr. Sakina Hassan Hashem and Professor Dr. Rana Farid Ghani from the Computer Science Department, received thanks and appreciation from His Excellency the Minister of Higher Education and Scientific Research, Dr. Naeem Al-Aboudi, in appreciation of their outstanding efforts in completing all the tasks assigned to them related to evaluating and equalizing Arab and foreign certificates received from outside Iraq. Which demonstrates their sincerity, dedication, and high sense of responsibility, wishing them success and success in serving our beloved Iraq.

Under the direct supervision of the head of the department, Professor Dr. Alaa Kazem Farhan, the internal audit committee for laboratory quality held a meeting in the department headed by Dr. Rana Muhammad Hassan and the membership of the director of the Division of Scientific Affairs and Cultural Relations, Taiba teacher Walaa Al-Din, auditors, assistant teacher Mai Sabry, engineer Ali Hussein, and the director of reliability. Laboratories Chief Engineer Rana Muhammad Mohsen and Director of the Laboratories Division Assistant Lecturer Atheer Rahim Today, Tuesday 10/17/2023, in the meeting room in the department building, during the meeting, the general requirements for the Ministry of Higher Education and Scientific Research forms related to laboratory quality and the development of solutions and corrective measures during the current academic year 2023 were discussed. -2024.

Under the guidance of the President of the University of Technology, Professor Dr. Ahmed Muhammad Hassan Al-Ghaban, the Head of the Computer Science Department, Professor Dr. Alaa Kazem Farhan, participated with the department’s members today, Tuesday, 10/17/2023, in the University Center Square, in a stand in support of the Palestinian people, under the slogan of Technology Participating and Supporting the Al-Aqsa Flood, in the presence of Mr. President The university, faculty members and students.

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.