The student (Hajar Najah Abdel-Saheb) obtained a master's degree from the Department of Computer Science / University of Technology for her thesis (Hybrid Biometric Identification System Based on Principal Component Analysis (PCA) Features Extraction And Neural Network (NN) Classifier) Among several people whose biometrics were collected in a database. The vital features that we rely on in this message are teeth and DNA. Basic concepts are introduced to identify one of many through the use of biometric standards and how these standards have been improved in the last few years. It presents various research and techniques related to this subject and concepts for evaluating these techniques. Presents a new way to identify a person from his own DNA and teeth which is widely used in forensic, border regulation, paternity determination and in investigations. The system contains three main modules: the dental model, the DNA model and the dental model mixture and the DNA (hybrid). The dental model has two main stages: the training phase (sampling of the database) and the testing stage (identification). These stages include the processing stage and the stage of extracting the characteristic features.

This was on Thursday 27/9/2018 at the discussion hall in the annex building of the department. The discussion committee consisted of (Dr. Soukaina Hussein Hashim and Dr. Rahim Abdel-Saheb Ogla) from the University of Technology / Department of Computer Sciences and (Dr. Samer Saeed Ibrahim) from Al Rafidain College / Department of Computer Science in the presence of the student's supervisor (Dr. Shaimaa' Hamid Shaker).

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Dr. Maysaa' Abd Ali & Dr. Shatha Habib Jaffar from the Department of Computer Sciences participated in the Second International Conference of Mathematical in Turkey / Istanbul / University of Malptep for the period from 31/7/2018 to 6/8/2018 with the paper (hide a secret message using the two-dimensional wave to merge the image) This is a hidden secret message method with a new algorithm to hide the confidential message inside a composite image by using the image integration method to give high security. The third phase uses the binary wave to merge the image between two images in the first, second and third levels, the second phase uses the filter, the third stage uses the masking of binary secret message by using ASCII code to convert all letter characters to binary numbers and hide them inside the image. The results of the algorithm were efficient, transparent and highly secure. And has the ability to hide the message that cannot be noticed by the attackers.

The student Salma Hamidi Abdullah received her PhD from the Department of Computer Sciences / University of Technology for her thesis titled "An Application of Human Eye Gaze in Controlling Mobile Devices" She suggested an application system that can control mobile devices to help users with difficult communication. This system is a non-intrusive input model, the pupil center was selected to calculate the eye movement data to determine the human point of view on the mobile device screen, the action only depends on the front camera to capture the input image. Many algorithms have been used to determine the point at which a human is viewed on a mobile screen. This system uses many stages such as facial detection, eye detection, pupil detection, eye orientation determination, and finally the control of the device used in the system provides an interface for the hands of the hands through the graphical user interface to control the screen of the mobile device Galaxy eye tracking is obtained in the direction of the pupil to The top, bottom, left and right numbers are entered into the user screen by tracking the look. To implement these processes a number of different algorithms were used, such as the detection algorithm for skin areas, the filter cabor, and other mathematical processes to locate the face in the image. And then through the features available in the eye is determined the area of ​​the pupil and then the horizontal and vertical line is scanned depending on the threshold line.

This was on Monday 25/6/2018 at the discussion hall in the building of the department. The committee of the discussion was composed of (Dr. Hala Bahjat Abdul Wahab and Dr. Matheel Emad Eddin Abdel Moneim) from the University of Technology / Department of Computer Sciences and Prof. Dr. Saad Najm Bashkh from Al Mustansiriya University , Faculty of Education and (Dr. Loay Idwar George) from the University of Baghdad, Faculty of Science and Dr. Ibrahim Nazeer Ibrahim, Al Mustansiriya University, Faculty of Education and attended by the student's supervisor (Dr. Hanaa Mohsen Ahmed).

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The student Najlaa' Abdul Hamza received her doctorate from the Department of Computer Sciences / University of Technology for her thesis entitled "3D Face Reconstruction Method for Unconstrained Images" This thesis focuses on reconstructing three-dimensional faces from a series of two-dimensional images, In the position, lighting or point of view and to obtain a precise three-dimensional model matches the two-dimensional characteristics, in this thesis was proposed a new way to reconstruct the three-dimensional faces by incorporating the reconstruction algorithm (reconstruction scattered) with a general model to get Intensive building (final three-dimensional model). We get the three-dimensional dots scattered from a series of faces using the improved motion structure algorithm. We obtain the intensive final reconstruction (the 3D model of the faces) by combining the scattered face points and the general model using the updated matching algorithm for the optimization process to reduce the difference between the input images and the resulting model.

This was on Sunday, June 24, 2018, at the discussion hall in the building of the department. The committee of the discussion was composed of (Dr. Matheel Emad El-Din Abdel Moneim, Dr. Abdel-Mohsen Gaber Abdelhossein, from the University of Technology / Computer Sciences Department and Dr. Ghassan Abdul Hamid Abdul Majeed from the Ministry of Higher Education and Scientific Research / Research and Development Department and Dr. Abbas Hassan Hanoun from the University of Basrah / Faculty of Information Technology and Dr. Mohamed Saheb Mehdi (from Al Nahrain University / Faculty of Science / Department of Computer Science in the presence of the supervisor of the student (Dr. Shaimaa' Hamid Shaker).

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The student Shilan Waa'd Idwan obtained her master's degree from the Department of Computer Sciences / University of Technology for her thesis entitled "Multi Robot Path Planning in Cluttered Environment Using Evolution Computation Techniques" The thesis is proposal of the multi-robot path planning system in a two-dimensional environment to solve the problem of finding a road in Traffic jam. The modified algorithm was used with the approximate bats algorithm. The direction of the fast-tracked random tree detection algorithm was first modified and redirected by replacing stored storage accounts with a proposed new calculation method that reduces execution time. Secondly, the algorithm of the fast-tracked, fast-tracked random tree has been modified to operate in a moving environment by modifying the evaluation equation with a proposed one based on the bat's algorithm. Thirdly, enable the rapid-oriented, rapid-motion-guided random-motion detection algorithm to plan the path of multiple robots in a parallel, dynamic and real-time environment by employing the swarm principle on the bat-swarm algorithm that has been combined with the improved modified rapid-guided random tree algorithm. Object detection algorithm and improved tracking algorithms. The development of algorithms for estimating traffic parameters such as displacement, speed, direction and positioning are generated through the development of the results of detection and tracking algorithms.

This was on Sunday 10/6/2018 and at the discussion hall in the annex building of the department. The discussion committee consisted of Dr. Nada Flieh Hassan of the University of Technology / Department of Computer Sciences and Dr. Bilal Khalil Ismail, from Al Anbar University, Computer Science Department, and Dr. Abbas Fadhel Mohammed Ali, from the University of Information and Communication Technology, in the presence of the student 's supervisor (Dr. Aliaa' Karim Abdel Hassan).

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