The Department of Computer Science granted a master's degree to the student (Ahmed Majed Ahmed) Computer Science / Artificial Intelligence for his thesis tagged "Recognition System" Speakers should use data mining techniques for safety applications "Tuesday 10/11/2020 in the discussion room in the building Supplement of the Department of Computer Science.
The discussion committee consisted of:
Prof. Ahmed Tariq Sadiq as Chairman
Dr. Ibrahim Nazeer Ibrahim, member
Prof. Dr. Ekbas Ezz Alddin, member
Prof. Dr. Alia Karim Abdel Hassan, member and supervisor
The message deals with speaker recognition (SR), which is an automated technique for identifying a person on the basis of his voice signal and acquire Speaker recognition is widely accepted for security purposes in governmental and financial institutions at present and technical efficiency has improved Speaker recognition is constantly increasing and its usability has increased nowadays as a speaker recognition system has been proposed to improve Systems performance using the proposed hybrid method.

The Department of Computer Science granted a master's degree to the student (Maryam Saad Fadel) Computer Science / General for her thesis tagged "Algorithm Design Lightweight symmetric coding for the Internet of Things "Thursday 5/11/2020 in the discussion room in the Computer Science Extension building.
The discussion committee consisted of:
Dr. Sukiena Hassan Hashem as Chairman
Mithaq taleb as a member
Prof. Israa Abdel-Amir, member
Prof. Dr. Alaa Kadhim Farhan, member and supervisor
Dr. Mohamed Nateq, member and supervisor
A new mitigated symmetric encryption algorithm has been proposed and is designed to provide a high level of security for sensor data Sensitive and designed to be applicable in any environment that needs protection against attackers or intruders and consumes less time in The encryption and decryption passes statistical tests and provides a high level of security.

The Department of Computer Science granted a doctoral degree to the student (Hoda Diauddin Naguib) for her thesis tagged "Automatic camera switching" Using the neural network based on the identification of events "on Thursday 5/11/2020 in the discussion room in the building of the science department the computer.
The discussion committee consisted of:
Prof. Ahmed Tariq Sadiq as Chairman
Prof. Dr. Firas Abdel-Hamid Abdel-Latif, Member
Dr. Abd al-Wahhab Sami Ibrahim, member
Prof. Dr. Hassanin Samir Abdullah, member
Prof. Israa Tahseen Ali, member
M.D. Rana Farid Ghani is a member and a supervisor
The goal of the thesis is to replace the broadcast director of a football game by building a computer system that acts as a TV director that automatically determines The best scene from a group of cameras and broadcast it over the network in real time with the observance of cinematic instructions and avoiding jumping between The viewer.

The Department of Computer Science awarded a master's degree to the student (Zainab Nateq Muhammadzaki) in Computer Science / Artificial Intelligence for her tagged thesis “Decision support system based on prediction of customer behavior” on Thursday 12/11/2020 in the discussion room in the building of the annex of the section Computer Science.
The discussion committee consisted of:
Prof. Dr. Alia Karim Abdel-Hassan as Chairman
Assistant Professor Dr. Rana Farid Ghani, member
- Assistant Professor Dr. Ahmed Hashem Muhammad, member
- Assistant Professor Dr. Suhad Mal Allah as a member and supervisor
The growth of websites and their applications and the development of user experiences have led to an increase in sites interested in shopping and preparing e-commerce One of the things that makes life simpler for both sellers and customers (users). In this message some selling issues were addressed Including the problem of lost time during the process of trying to sell, which ends without return to the seller, i.e. without buying, as it was suggested The message is a decision support system to assist the seller in predicting a customer's purchasing structure. A high accuracy rate of over 95% has been achieved. The most important conclusion is that the machine learning classifier can have higher proportions than the deep learning classifiers.

The teaching assistant teacher, Taiba Walaa El-Din Khairi, and assistant programmer Sajjad Salem Sedkhan, from the Computer Science Department, got thanks and appreciation from The President of the University of Technology, Prof. Dr. Ahmed Muhammad Hassan Al-Ghabban, in appreciation of the distinguished efforts made by them in designing And the introduction of data on the websites of the university departments hoping for them to remain successful and successful in service of the scientific process in Our dear Iraq.