Items filtered by date: December 2023

- Electronic borrowing system for the central library

 

Source: Department's Media

Published in Dept. News

- An elite group of female faculty members, members and students of the Computer Science Department visited the first charity market held by the Computer Engineering Department at the University of Technology under the patronage of the University President, Professor Dr. Ahmed Muhammad Hassan Al-Ghaban, and in cooperation with the Al-Hassan and Al-Hussein Foundation (peace be upon him) for the care of orphans and on the land adjacent to the Computer Engineering Department’s garden, as of 10/1/2023. For two days, it is one of the activities whose proceeds go to orphans in cooperation with charitable organizations.







 

Source: Department's Media

Published in Dept. News
Monday, 02 October 2023 08:16

Noor Muneam Abbas

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Noor Muneam Abbas

Computer Sciences Department

Assist Lecturer

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Iam Assist Lecturer Noor. I earned my Bachelor degree from University of Technology/ Computer Science department/ Computer Security branch in 2012, I graduated first in my class with bachelor’s degree, and earned my Master of science degree in 2022 also in the field of computer security. I am working at the department of Computer Science since 2013.

CV  

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ORCID iD

  • B.sc computer science department / computer security brunch in 2012.
  • M.sc computer science department/ university of technology in 2022.

  • Image processing
  • Security information
  • Steganography and watermarking
  • Mathematics

  • mRNA Approach Image Encryption Using LUC Algorithm,30-5-2023, Noor Muneam Abbas, Matheel E.

  • Block cipher (lab) in 2013,2014,2015 university of technology
  • Public key and stream cipher lap (2013-2014-2015)
  • Structured programing (lab) in 2014, university of technology.
  • Software engineering (lab) in 2015, university of technology.
  • Image processing (lab) in 2022, university of technology.
  • Compiler lab in 2022, university of technology.
  • Information hiding and watermarking in 2019, university of technology.
  • Multimedia security 2 in 2022, university of technology.

Published in cv

- The Computer Science Department discussed the tagged master's thesis Proposed Arabic Sentiment Analysis System For Evaluation of Firms Performance Using Deep Learning Technique For Master’s student Rafif Abdul Amir Hamid, Computer Science/General, in the discussion room in the building of the Computer Science Department annex. The thesis aims to develop a powerful and accurate Arabic sentiment analysis model that can effectively analyze large amounts of textual data and evaluate valuable insights for various companies and applications. The discussion committee consisted of Prof. Dr. Shaima Hamid Shaker as Chairman, Prof. Dr. Nadia Fadel Al-Bakri as Member, Prof. Dr. Bashar Saadoun Mahdi, Prof. Dr. Ahmed Tariq Sadiq as Member and Supervisor, and Prof. Dr. Wael Jabbar as Member. And honorable.



 

Source: Department's Media

Published in Dept. News
Sunday, 01 October 2023 08:44

Nada Hussain Ali

Head of the Profile

Nada Hussain Ali

Computer Sciences Department

Lecturer

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I hold a Bachelor in Computer Science from university of technology-computer science department, Baghdad-Iraq in 2011, a Master degree in Computer Science from University of Technology-computer science department, Baghdad-Iraq, in 2016, Doctorate of Philosophy from University of Technology-computer science department, Baghdad-Iraq in 2022.

CV  

Google Scholar Profile

ResearchGate Profile

ORCID iD

Scopus

  • Ph.D. – Computer Sciences – University of technology - 2022
  • Msc. – Computer Sciences – University of Technology - 2016
  • Bsc. – Computer Sciences –– University of Technology 2011

  • Artificial intelligence
  • machine learning
  • deep learning
  • video processing
  • image processing
  • 3D video processing
  • pattern recognition
  • text similarity

  • Nada HussainAli, Matheel Emaduldeen Abdulmunem, Akbas Ezaldeen Ali, Learning Evolution: a Survey, Iraqi Journal of Science, 2021
  • Nada HussainAli, Matheel Emaduldeen Abdulmunem, Akbas Ezaldeen Ali Constructed model for micro-content recognition in lip reading based deep learning, Bulletin of Electrical Engineering and Informatics,2021.
  • Nada HussainAli, Matheel Emaduldeen Abdulmunem, Akbas Ezaldeen Ali Auto-Correction Model for Lip Reading System, Iraqi Journal of Computers, Communications, Control & Systems Engineering (IJCCCE),2022
  • Nada HussainAli, Matheel Emaduldeen Abdulmunem, Akbas Ezaldeen Ali ,Intelligent System for Multi-Layer Lip Reading Based Microlearning, Iraqi Journal of Science, 2022

Published in cv
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