Researcher Image
ميلا غازي عبد الحليم علي - Mela G. Abdul-Haleem
MSc - lecturer
College of Science , Department of Computer
[email protected]
Summary

Lecturer at University of Baghdad, College of Science, Department of Computer Science.

Qualifications
  1. M.Sc., University of Baghdad / College of Science / Computer Dep., 2013
  2. B.Sc., University of Baghdad, 2002
Responsibility

Lecturer

Awards and Memberships
  1. Thanks and Appreciation, Head of Iraqi Commission for Computer and informatics, 19/5/2004.
  2. Award, Thanks and Appreciation, Head of College of Science for Women, 24/11/2005.
  3. Thanks and Appreciation, Head of College of Science, 12/3/2009
  4. Thanks and Appreciation, Head of College of Science, 20/5/2009.
  5. Thanks and Appreciation Head of College of Science, 6/4/2010.
  6. Thanks and Appreciation, Head of University of Baghdad, 22/4/2013
  7. Thanks and Appreciation, Head of University of Baghdad, 15/2/2014. 8, Thanks and Appreciation, Head of College of Science, 1/7/2015.
  8. Thanks and Appreciation, Head of College of Science, 27/3/2017.
  9. Thanks and Appreciation, Prime Minister's Office, 3/10/2019.
  10. Thanks and Appreciation, Head of University of Baghdad, 1/3/2020.
  11. Thanks and Appreciation, Minister of Higher Education and Scientific Research, 6/5/2020.
  12. Thanks and Appreciation, Head of University of Baghdad, 29/7/2020.
  13. Thanks and Appreciation, Minister of Higher Education and Scientific Research, 11/8/2020.
  14. Thanks and Appreciation, Deputy Minister for Scientific Research Affairs, 27/9/2020.
  15. Thanks and Appreciation, Minister of Higher Education and Scientific Research, 1/3/2021.
  16. Thanks and Appreciation, Minister of Higher Education and Scientific Research, 16/8/2021.
  17. Thanks and Appreciation, Head of College of Science, 14/6/2022.
  18. Thanks and Appreciation, Minister of Higher Education and Scientific Research, 30/6/2022.
  19. Thanks and Appreciation, Head of College of Science, 19/7/2022.
  20. Thanks and Appreciation, Assistant Head of University of Baghdad, 8/8/2022.
  21. Thanks and Appreciation, Minister of Higher Education and Scientific Research, 25/10/2022
  22. Thanks and Appreciation, Deputy Minister for Scientific Research Affairs, 7/3/2023.
  23. Thanks and Appreciation, Minister of Higher Education and Scientific Research, 19/4/2023.
  24. Thanks and Appreciation, Head of College of Science, 23/5/2023. Other awards
  25. Award, Thanks and Appreciation, Head of College of Science for Women, 24/11/2005.
  26. Certificates of Appreciation, Head of College of Science, 7/5/2013.
  27. Certificates of Appreciation, Head of Computer Science, Department, 26/4/2015.
  28. Certificates of Appreciation, Head of College of Science, 2016-2017.
  29. Certificates of Appreciation, Head of College of Science, 2016-2017.
  30. Entrepreneur Researcher Badge, Arid Platform, 6/4/2020.
  31. Activist at ARID scientific Events Badge 2020, Arid Platform, 16/11/2020.
  32. Certificates of Appreciation, Minister of Higher Education and Scientific Research, 30/5/2021.
  33. Activist at ARID scientific Events Badge 2021, Arid Platform, 25/6/2021.
Research Interests

Digital Image Processing - Pattern Recognition – Biometric - Image Enhancement - Image Segmentation.

Teaching
  1. Computers-I for Biotechnology Dep. students, Practical 2022-2023
  2. Computers-II for Biotechnology Dep. students, Practical 2022-2023
  3. Computer organization, Practical 2022-2023
  4. Final graduated projects (2), Theoretical 2022-2023
  5. Computers-I for Biotechnology Dep. students, Practical 2021-2022
  6. Networks, Practical 2021-2022
  7. Computers-II for Biotechnology Dep. students, Practical 2021-2022
  8. Final graduated projects (2), Theoretical 2021-2022
  9. Computers-I for Biotechnology Dep. students, Practical 2020-2021
  10. Computers-II for Biotechnology Dep. students, Practical 2020-2021
  11. Final graduated projects (2), Theoretical 2020-2021.
  12. ...
Publication Date
Sun Feb 27 2022
Offline Handwritten Signature Verification Based on Local Ridges Features and Haar Wavelet Transform

    Multiple applications use offline handwritten signatures for human verification. This fact increases the need for building a computerized system for signature recognition and verification schemes to ensure the highest possible level of security from counterfeit signatures. This research is devoted to developing a system for offline signature verification based on a combination of local ridge features and other features obtained from applying two-level Haar wavelet transform. The proposed system involves many preprocessing steps that include a group of image processing techniques (including: many enhancement techniques, region of interest allocation, converting to a binary image, and Thinning). In feature extraction and

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Scopus (6)
Crossref (3)
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Publication Date
Wed May 01 2019
White Blood Cells Nuclei Localization Using Modified K-means Clustering Algorithm and Seed Filling Technique

The presence of White Blood Cells (WBCs) in the body of human has a great role in the protection of the body against many pathogens. The recognition of the WBC is the first important step to diagnose some particular diseases. The pathologists usually use an optical microscope to recognize WBCs, but, this process is a quite tedious, time-consuming, error prone, very slow, and expensive. In addition, it needs experts with long practice in this field. For these reasons, a computer assisted diagnostic system that helps pathologists in the process of diagnosis can be effective, easy and safe. This research is devoted to develop a system based on digital image processing methods to localize WBCs nuclei. The proposed system involved a collectio

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Publication Date
Fri Feb 15 2019
Journal Name
Journal Of Theoretical And Applied Information Technology
A system for rapid localization and intensity evaluation of saponins accumulation in plant tissues

A fluorescence microscopy considered as a powerful imaging tool in biology and medicine. In addition to useful signal obtained from fluorescence microscopy, there are some defects in its images such as random variation in brightness, noise that caused by photon detection and some background pixels in the acquired fluorescence microscopic images appear wrongly auto-fluorescence property. All these practical limitations have a negative impact on the correct vision and analysis of the fluorescent microscope users. Our research enters the field of automation of image processing and image analysis using image processing techniques and applying this processing and analysis on one of the very important experiments in biology science. This research

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Scopus
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Publication Date
Sat Jul 01 2023
Journal Name
International Journal Of Intelligent Engineering And Systems
Scopus (2)
Crossref (1)
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