Discussion of a Master’s thesis in the College of Computer Science and Mathematics – Department of Computer Science titled: Hog Features Based Facial Expression Recognition Using Machine Learning Classifiers. Continuing the movement of scientific research and in the presence and following of the respected Dean of the College of Computer Science and Mathematics, Professor Dr. Duha Bashir Abdullah, a Master’s thesis by the student ‘Mohammed Khalaf Fadel Qasim’ was discussed in the discussion hall at the College of Computer Science and Mathematics at the University of Mosul on Sunday, 7\/9\/2025.<\/p>\n
The message addressed the development and enhancement of a system for distinguishing facial expressions based on a hybrid methodology for feature extraction, combined with various classification models. The proposed system focused on supporting features extracted from Histogram of Oriented Gradients (HOG) and Gabor filters, leveraging the capability of each technique to capture different aspects of image information, thus providing a more comprehensive and accurate representation for distinguishing different facial expressions.<\/p>\n
The discussion committee consisted of:<\/p>\n
Assistant Professor Dr. Mayada Ramz Mahmoud as Chair<\/p>\n
Assistant Professor Dr. Mohamed Azhar Abdul Latif as a member<\/p>\n
Dr. Omar Muayyad Abdullah as a member<\/p>\n
Assistant Professor Dr. Mohamed Chachan Younis as a member and supervisor.<\/p>\n\n\t\t