The student (Sara Qusay Salah Eddin) obtained her master's degree from the Department of Computer Sciences / University of Technology for her thesis (Audio Classification based on Polynomial Interpolation) In this thesis, two main algorithms were proposed for gender classification based on sound. A new algorithm was used to classify between Gender based on self-association. In the beginning, the signal is reworked to fill the blanks between the signals, then a convoluted signal is made to a cross-correlated signal. Finally, gender is classified by cross-correlation. The sound is defined as a male voice if the band is at the volume value between 85 Hz and 155 Hz, while the female voice is selected if the band is in the volume value between 165 Hz and 255 Hz. The 2270 sample audio data (including 1132 female and 1138 male) is used to evaluate the proposed algorithms. The result of the algorithm is obtained 99% accuracy rate and 33% call rate when using the standard sound. The result is when using real audio 83% accuracy rate, the call rate is 1.0%.

It was on Monday 30/4/2018 at the discussion hall the department. The discussion committee was composed of (Dr. Matheel Emad Alddin Abdel Moneim and Dr. Sakina Hassan Hashem) from the University of Technology / Computer Sciences Department and (Dr. Raghad Abdel Aziz) from the University of Baghdad / Faculty of Education Ibn Rushd and the presence of the supervisor of the student (Dr. Nidaa' Fleih Hassan).

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Dr. Maysa 'Abd al-Ali Khadr form the Department of Computer Sciences participated in the discussion of Master student Majed Ismail Samir from the Department of Computer Science / Faculty of Education / University of Mustansiriya on Monday 30/4/2018 and the Rafidain Hall in the Faculty of Education.

The crowd's media in cooperation with the Department of Computer Sciences on Monday 23/4/2018 and at the discussion hall in the Department of Applied Sciences held a memorial ceremony for the martyr Ali Bashir (one of the graduates of computer sciences department) on the occasion of the first anniversary of his martyrdom. In the presence of the Head of Computer Sciences Department Dr. Hala Bahjat Abdul Wahab and the members of the faculty and administrative students in the department. And his family the martyr hero and representatives of the Department of Field Engineering and the clearance of the land of containers one of the directorates of the Popular Assembly. The ceremony was initiated by verses from the Holy Quran and was followed by a speech by the Head of Department Dr. Hala Bahjat Abdul Wahab and the speech of the representative of the Media Department in the popular crowd and the word of Sheikh Osama Al-Subaihawi representative of the Field Engineering Directorate in the Commission. expression of gratitude was given to the martyr and his family.

The student Haidar Mohammed Alwan received his master's degree from the Department of Computer Sciences / University of Technology for his thesis entitled (A Proposed Algorithm to Decrease False Alarm in Intrusion Detection System). In this thesis the proposed system is to use the equations of the Bezier Curve to select the locations of the images from the secret image and then use The logical operation (XOR) between the site content (pixel data) selected according to the Bezier equations and the key and output of this process is hidden in the N-images of the cover images. The proposed masking system gives high security and can hide a large size image in a small image collection. The quality of Stego images is evaluated after data is hidden using the PSNR and MSE evaluation criteria. The results show that this method is more accurate than the traditional method. In addition, the use of more than one image envelope instead of one envelope to increase the load of hidden data will further complicate the end The third to recover the hidden image, because getting one or two or three of the cover images will not enable him to obtain the secret image.

This was on Monday 23/4/2018 and on the discussion hall in the department. The discussion committee was composed of (Dr. Mithad Emad El-Din Abdel Moneim and Dr. Maysaa' Abdel Khader) from the University of Technology / Computer Sciences Department And Dr. Amer Siddiq Mustafa from Imam Sadeq University, Faculty of Computer Technology, in the presence of the student supervisors (Dr. Abdul Amir Abdul Karim and Dr. Abdul Mohsin Jabir Abdul Hussain).

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The student Ekhlas Falih obtained her PhD degree from the Department of Computer Sciences / University of Technology for her dissertation. That proposed a system used the BOVW to understand the event in which the video data is extracted and compiled to generate a group Of the visual words that form the visual dictionary. As a pre-processing phase, the video images are converted to gray and then converted using the Haar filter for the purpose of implementing the proposed algorithms with minimal complexity. The first stage of the proposed visual system is to extract important points from the images. The proposed system used FAST characteristics to extract angles as important points. The FAST has been improved by proposing an adaptive threshold rather than a fixed threshold to reduce the space of attributes and increase the speed of implementation of the proposed system. After discovering the important points, the proposed system uses SURF as a second stage of the video bag system to build the local descriptor for these important points and generate a signature for the image that is fixed with rotation and zoom.

This was on Sunday 22/4/2018 and on the discussion hall in the department. The discussion committee consisted of Prof. Ahmed Tariq Sadiq, Dr. Matheel Imad Eddin Abdel Moneim, (Department of Computer Sciences), Dr. Esraa Hadi Ali (University of Babylon), Faculty of Information Technology, Dr. Mohamed Saheb Mehdi) from the University of Nahrain / Faculty of Science / Computer Science Department in the presence of the student supervisor (Dr. Abdul Amir Abdullah Karim).

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