Saif

Saif

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- The student Hala Hassan Mahmoud obtained her Ph.D. degree from the Department of Computer Sciences / University of Technology for her thesis entitled (Universal Image Stego-analytic Techniques for Forensic Applications). The work presented in this thesis is to design a tool for blind image analysis using a deep educational tool called Neural Network (CNN). The frame consists of three main phases: pretreatment that uses the conversion of complex double-wavelet wavelengths with a number of level equal to 5 to give an important advantage and has the ability to emphasize edge detection and suppress detail information. This is an important step to reduce redundancy and data dimensions and finally reduce memory and calculation. The detection accuracy is 0.92857, 0.96875 and 0.98387 when a number of levels equal to 3,4 and 5 are specified respectively for HUGO and UNIWARD algorithms with a load of 0.1 bpp and 0.4 bpp and a lower resolution of 0.90769, 0.92897 and 0.96659 is given for the WOW load algorithm of 0.1 basis points and 0.4 basis points respectively. Level 5 gave the best score compared to other levels for all three algorithms. The second stage was the extraction of features created using the CNN set of five consecutive sets of CNN, and the Leaky Rectified Linear Unit (ReLU) activation function gives the result and problem solving. The last stage was the classification using softmax classified to obtain the last two names are the cover and stego.



This was on Thursday 5/9/2019 at the discussions hall in the department and the discussion committee was composed of (Prof. Abdull Moneim Saleh Rahma and Dr. Iyad Rodhan Abbas) of the University of Technology / Department of Computer Sciences and Prof. Mahmoud Khalil Ibrahim (from Al-Nahrain University / College of Information Engineering), Prof. Qasim Mohammed Hussein of Tikrit University / College of Petroleum and Minerals Engineering and Dr. Alaa Abdul Hamid Abdul Latif from Baghdad University College of Education Ibn Al-Haytham / Department of Computer Science in the presence of the supervisor of the student (Dr. Hanaa Mohsen Ahmed).

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Source: Department's Media

- The Department of Computer Sciences hosted the meeting of the Deans' Committee on Monday 19/8/2019 at the Hall of the Department Council in the presence of the department's dean Dr. Hala Bahjat Abdel Wahab and the Deans who are members of the Committee, according to the Ministry of Higher Education and Scientific Research's book number (TM / 5238) dated 04/08/2019, which entrusts the Deans' Committee with regard to the approval of some of the initial curricula of their colleges.



The meeting started with a welcoming speech by the Chairman of the Deans Committee. Dr. Talib Abdul Samad Obaid / Dean of the College of Computer Science and Information Technology / University of Basra welcomed the deans and the meeting dealt with the adoption of curriculums for computer colleges after matching them according to the Ministry's books and agenda and recommendations where proposed.



Source: Department's Media

- The Head of Computer Sciences Department Dr. Hala Bahjat Abdul Wahab participated in the meeting of improving the education quality of computer colleges hosted by science college Al Mustansiriyah University, The meeting was chaired by the Dean of the Faculty of Science, Dr. Bashar Makki Al-Issawi, and attended by the members of the Council from different universities and governorates of Iraq, The meeting dealt with a number of aspects and points on its agenda, including the main focus of the internal system, the aspect of the future plan for the work of the Council and the aspect of dividing duties as well as the discussion of the work mechanism of the courses system, in addition to discussing what has been achieved from the plan of implementation of the governmental program. the need to discuss the means and mechanisms to ensure the quality of education in computer colleges.





Source: Department's Media

- The student Rafal Ai Samir received her PhD degree from the department of computer sciences - university of thechnology for her thesis entitled (Video Summarization Using Video Object Segmentation and Bag of Visual Words) in which it introduces five suggested ways to summarize a video: a method to provide the video summary in a static format (images only) And the way the video summary progresses dynamically (sound and image) and three hybrid modes that provide a static and dynamic summary of the video. There are two basic processes for finding a video summary: training, including building the BoVW, BoAW, and testing process, which involves producing the abstract in images, audio, and images by testing its visual or audio contents or both. the discussion was on Tuesday, June 11, 2018, at the discussion hall in the department. The discussion committee consisted of (Dr. Nada Falih Hassan and Dr. Rana Farid Ghani) from the University of Technology / Computer Sciences Department and Dr. Ziad Tariq Mustafa (from the University of Diyala / Department of Computer Science and Prof. Dr. Diaa Abdul Hussein Juma) from Al Mustansiriya University / Faculty of Science / Department of Computer Science and (Dr. Ibrahim Nazeer Ibrahim) / Faculty of Basic Education in the presence of the student supervisor (Dr. Abdul Amir Abdullah Karim).



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Source: Department's Media

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