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Lect. Dr. Mohammed Ahmed Talab Musa
Position
Director of the Student Affairs and Registration Division
Position
Director of the Student Affairs and Registration Division
General Specialization
Computer Science
General Specialization
Computer Science
Subspecialty
Computer Vision
Subspecialty
Computer Vision
Education
- Earned a Ph.D. in Computer Science – Computer Vision in 2023 from Universiti Malaysia Pahang (UMP), Malaysia
- Earned his Master's Degree in Computer Science - Systems And Information in 2013 from National University Malaysia (Ukm), Malaysia
- Earned his Bachelor's Degree in Computer Science in 2010-2011 from Heritage University in Iraq
Experience
He holds a certificate in Neuro-Linguistic Programming, British Institute
Publications
1- Review of deep convolution neural network in image classification,IEEE,2017
2- Super-low resolution face recognition using integrated efficient sub-pixel convolutional neural network (ESPCN) and convolutional neural network (CNN),IEEE,2019
3- Hybrid method using EDMS & Gabor for shape and texture,2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA),2020
4- Literature review of authentication layer for public cloud computing: a meta-analysis,Journal of Theoretical and Applied Information Technology
,2006
5- A Novel Statistical Feature Analysis‐Based Global and Local Method for Face Recognition,Hindawi,2020
6- Local feature methods based facial recognition,International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA),2022
7- Edge direction matrixes-based local binary patterns descriptor for invariant pattern recognition,2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)
8- Machine learning model for managing the insider attacks in big data,AIP Publishing,2023
9- Optimization of industrial process parameter control using improved genetic algorithm for industrial robot,Optimization of industrial process parameter control using improved genetic algorithm for industrial robot,2022
10- Features extraction for robust face recognition using GLCM and CS-LBP,Springer International Publishing,2022
2- Super-low resolution face recognition using integrated efficient sub-pixel convolutional neural network (ESPCN) and convolutional neural network (CNN),IEEE,2019
3- Hybrid method using EDMS & Gabor for shape and texture,2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA),2020
4- Literature review of authentication layer for public cloud computing: a meta-analysis,Journal of Theoretical and Applied Information Technology
,2006
5- A Novel Statistical Feature Analysis‐Based Global and Local Method for Face Recognition,Hindawi,2020
6- Local feature methods based facial recognition,International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA),2022
7- Edge direction matrixes-based local binary patterns descriptor for invariant pattern recognition,2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)
8- Machine learning model for managing the insider attacks in big data,AIP Publishing,2023
9- Optimization of industrial process parameter control using improved genetic algorithm for industrial robot,Optimization of industrial process parameter control using improved genetic algorithm for industrial robot,2022
10- Features extraction for robust face recognition using GLCM and CS-LBP,Springer International Publishing,2022
