Dr. Hanaa Mohsen received a thanks letter form Zakho University for the evaluation at their International Conference on Science and Engineering for the year 2018 and she will be a scientific evaluator in their second conference in Zakho / Duhok from 2-4 April / 2019 wish her more success.

The student Ali Adil has obtained his PhD from the Department of Computer Sciences / University of Technology for his dissertation (Cuneiform Symbols Recognition Using Pattern Recognition Techniques and Corpus). This research presents a proposed system for distinguishing these symbols in cuneiform image using techniques for distinguishing patterns, Photomorphism by proposed algorithms. In addition to the proposed algorithms in the field of improving and standardizing the features of the image of the removal of stains and lines of writing, which represent the characteristics of changing the incidence of the presence of one image to another and therefore must be removed to obtain a uniform formula before the process of excellence. Depending on the techniques (image morphology and distance converter) in a new suggested manner. In this research, the group of images is proposed to train the system in the form of triangular shapes, which in turn reflect all the possibilities of the patterns of light reflection on the three-dimensional symbolic symbol (as a certified factor for the first time) distributed by four main patterns, which in turn form 17 rows that differ from each other in direction . In this research, a comparison of the accuracy of excellence of the cuneiform character was carried out when it was based on the construction of the derived characteristics derived from the first use of polygon approximation technique and comparing the result of excellence with the traditional methods of building the characteristics of the character. This was on Sunday, 2018 and the discussion room in the annex building of the department and the discussion committee was composed of (Dr. Hassanein Samir Abdullah and Dr. Shaima Hamid Shaker and Dr. Ekhlas Khalaf Kabbashi) of the University of Technology / Department of Computer Sciences and (Dr. Morteza Mohammed Hamad) from Al Anbar University / Computer Science and (Dr. Haitham Abdul Latif Omar) of the Faculty of Alsalam College / Department of Computer Science with the presence of the student's supervisors (Prof. Dr. Abdel-Moneim Saleh and Dr. Abdul Mohsen Jaber).

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Five members of the Department of Computer Sciences received the certificate of the internal auditor (Dr. Khalil Ibrahim, Asst. Lect. May Sabri, Asst. Lect. Rana Mohammed Hassan, Asst. Lect. Taibah Walaauddin Khairi, Ali Hussein). By the lecturer Majed Ahmed, a general certificate valid for auditing in all country institutions obtained for the first time in the Department of Computer Science.

A group of computer science teachers (Dr. Yousra Hussein, Dr. Abeer Tariq, Dr. Hassanein Samir, Dr. Hanaa Mohsen, Dr. Alia Kareem, Dr. Soukaina Hassan, Dr. Abdul Amir Abdullah, Dr Matheel Emad Eddin) received a letter of thanks and appreciation of the President of the University. Dr. Amin Douai Thamer, for thier efforts in supervising the graduate students in completing the requirements of the study before the end of the specified period, hoping to continue their efforts for the advancement of higher studies and to ensure the scientific situation in the university to serve our beloved Iraq.

The student Jamal Helal Asi received his PhD degree from Computer Sciences department / University of Technology for his thesis titled (Intrusion Detection Analysis using Machine Learning and Improved Artificial Immune System). In this thesis, the Dataset was reduced from 41 to 10 important properties, the accuracy was high (84.1509%) and the time was (6.11 seconds) with the classification algorithm (J48). The second proposal is the AIRS algorithm, , The proposed system is the VNS classification. The principle of this algorithm is the successive detection of the neighbors to find the best solutions and produce a set of real vectors ready for classification. The results are based on NSL-KDD dataset and showed an increase in performance accuracy compared to the original algorithm (AIRS). The result was (88.136% 9872.15 seconds). In the third proposal, AIRS is an advanced algorithm developed by AIRS. It was suggested to improve the performance of the AIRS input and copy cells, which would give the best cells that can be compared to patterns in the data set.

This was on Sunday, September 30, 2018, and on the discussion room in the annex building of the department. The discussion committee was composed of: Dr. Soukaina Hassan Hashim, Dr. Alaa Kazem Farhan, (From the University of Technology / Computer Science Department and Prof. Dr. Mahmoud Khalil Ibrahim) from the University of Nahrain / Information Engineering and (Dr. Nada Abdel-Zahra Abdullah) from the University of Baghdad / Faculty of Science / Department of Computer Science In the presence of the student supervisor (Prof. Ahmed Tariq Sadiq).

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