The student Raghad Mohammed Hadi received her Ph.D. degree from the Department of Computer Sciences / University of Technology for her thesis (Text Document clustering model using Singular Value Decomposition and Modified Fuzzy C Mean.). The student thesis proposed a system that tries to help the user to compile a large data set from any source and design A program that can identify the information that helps to bridge this huge data by analyzing the data set given. This data processing has been enhanced by adding a stage called a remote processing step. This step helps the proposed system to extract important terms that affect In the compilation of documents, and the proposed system has been adapted to this aspect because some terms negatively affect the compilation process, which takes a long time to compile, the proposed system finds terms that have a high repetition in the document and exclude the terms that have low repetition in the document, The proposed system is based on statistically significant and related terms that lead to the consolidation process. It was on Monday 26/2/2018 and on the discussion hall in the department and the discussion committee was composed of (Dr. Matheel Emaduddin Abdel Moneim, Dr. Aliaa' Karim Abdelhasen and Dr. Hassanein Samir Abdullah) from the University of Technology / Department of Computer Sciences and (Dr. Thaher Abdul Hadi Abdullah) from the University of Diyala / Faculty of Science / Department of Computer Science and (Dr. Mortada Mohammed Hamad) from Al Anbar University / Department of Computer Science.

The Student Mohammed Rajeh Mohammed received his master's degree from the Department of Computer Sciences / Technology University for his thesis (Improved background subtraction in video surveillance). This thesis provides a video surveillance system with detection of moving objects. The system works on recorded video frames from a fixed camera. The system starts by implementing a non-linear algorithm to capture the video movie and split this video movie into several frames. Then, apply the training algorithm to manipulate those frames for initial background modeling using the enhanced k-mean algorithm. Next, the front-end detection algorithm was made by applying a threshold to the absolute difference value of the current image frame and background image. While the blind background maintenance approach was provided for background maintenance. This was on Thursday, February 22, 2018 and at the discussion hall in the department. The discussion committee was composed of Nidaa' Falieh Hassan and Dr. Hanaa' Mohsen Ahmed from the University of Technology / Department of Computer Sciences and Dr. Abdulwahab Sami Ibrahim from Al Mustansiriya University, College of Education, Department of Computer Science.

The administrative deputy in the Department of Computer Sciences, Dr. Ayad Roudan Abbas, received a thanks and appreciation letter from the President of the University of Technolgy, Prof. Dr. Amin Dway Thamer, for his outstanding efforts in developing the journal and improving its performance for the year 2017.

Students of Computer Sciences Department (Abdullah Kamal Ismail, Ali Haider Kazem, Ahmed Naeem Abdul, Hussam Ahmed Ayad) from the internal section No. 5 thanked by the internal departments unit for their compliance with the instructions and for their efforts in cleaning their apartments.

Asst. Prog. Fadel Abbas Fadel and Asst. Prog. Mohammed Thamer Abdul Hadi from the Department of Computer Sciences received a thanks and appreciation letter from the Department of Laser Engineering and Optical Electronics in appreciation of their outstanding efforts in the speed of completion of the installation of the unified Health Center System.