Dr. Mumtazimah  Binti Mohamad
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Dr. Mumtazimah Binti Mohamad

Associate Professor
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysia


Highest Degree
Ph.D. in Computer Science from Universiti Malaysia Terengganu, Malaysia

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Area of Interest:

Computer Sciences
100%
Machine Learning
62%
Artificial Intelligence
90%
Artificial Neural Network
75%
Pattern Recognition
55%

Research Publications in Numbers

Books
0
Chapters
8
Articles
28
Abstracts
17

Selected Publications

  1. Ghaleb, S.A.A., M. Mohamad, W.A.H.M. Ghanem, A.B. Nasser and M. Ghetas et al., 2022. Feature selection by multiobjective optimization: Application to spam detection system by neural networks and grasshopper optimization algorithm. IEEE Access, 10: 98475-98489.
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  2. Ghaleb, S.A.A., M. Mohamad, S.A. Fadzli and W.A.H.M. Ghanem, 2022. E-mail spam classification using grasshopper optimization algorithm and neural networks. Comput. Mater. Continua, 71: 4749-4766.
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  3. Alwaqfi, Y.M., M. Mohamad and A.T. Al-Taani, 2022. Generative adversarial network for an improved arabic handwritten characters recognition. Int. J. Adv. Soft Comput. Appl., 14: 176-195.
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  4. Ghaleb, S.A.A., M. Mohamad, S.A. Fadzli and W.A.H.M. Ghanem, 2021. Training neural networks by enhance grasshopper optimization algorithm for spam detection system. IEEE Access, 9: 116768-116813.
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  5. Ghaleb, S.A.A., M. Mohamad, E.F.H.S. Abdullah and W.A.H.M. Ghanem, 2021. Integrating mutation operator into grasshopper optimization algorithm for global optimization. Soft Comput., 25: 8281-8324.
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  6. Awajan, I., M. Mohamad and A. Al-Quran, 2021. Sentiment analysis technique and neutrosophic set theory for mining and ranking big data from online reviews. IEEE Access, 9: 47338-47353.
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  7. Saany, S.I.A., Y.A.M.A. EL-Ebiary, M. Mohamad, N. Daud, N. Udin and N.N.M. Khalid, 2019. Lactation mobile application in Islam perspective. Int. J. Eng. Adv. Technol., 8: 271-274.
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  8. Mohamad, M., Z.A.A. Ghadas, W.N.S.W. Ismail and F. Ghazali, 2019. Web service oriented architecture solution for accounting information system for SMEs legal firm. Int. J. Recent Technol. Eng., 8: 440-445.
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  9. Mohamad, M., N.A. Rozlan and F. Mohd, 2019. Analysis of oral cancer prediction with pairwise preprocessing techniques using hybrid feature selection and ensemble classification. Int. J. Recent Technol. Eng., 7: 605-611.
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  10. EL-Ebiary, Y.A.M.A., S.I.A. Saany, M.N.A. Rahman, E.A.Z.E. Alwi, M. Mohamad and M.M.T. Ahmad, 2019. Using smartphone application to notify Muslim travelers the Jama’ Qasar Pray, Azan times and other facilities. Int. J. Eng. Adv. Technol., 8: 366-370.
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  11. Muhammad, N., J.M. Zain and M. Mohamad, 2018. Current issues in ciphertext policy-attribute based scheme for cloud computing: A survey. Int. J. Eng. Technol., 7: 64-67.
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  12. Mohamad, M., W.N.S.W. Nik, Z.A. Zakaria and A.C. Alhadi, 2018. An analysis of large data classification using ensemble neural network. Int. J. Eng. Technol., 7: 53-56.
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  13. Mohamad, F.S., F.M. Alsuhimat, M.A. Mohamed, M. Mohamad and A.A. Jamal, 2018. Detection and feature extraction for images signatures. Int. J. Eng. Technol., 7: 44-48.
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  14. Awajan, I. and M. Mohamad, 2018. A review on sentiment analysis in Arabic using document level. Int. J. Eng. Technol., 7: 128-132.
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  15. Mohamad, M., M. Makhtar, M.N.A. Rahman and R. Muda, 2017. Performance comparison of neural network parallelization techniques and its application for large data classification. Adv. Sci. Lett., 23: 5501-5505.
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  16. Aliyu, M.G., M.F.A. Kadir, M. Mohamad and A.R. Mamat, 2016. Comparative study of different de-noising techniques for efficient plant identification. Am. J. Innov. Res. Applied Sci., 1: 30-36.
  17. Mohamad, M. and M.Y.M. Saman, 2015. Comparison of diverse ensemble neural network for large data classification. Int. J. Adv. Soft Comput. Applic., 7: 67-84.
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  18. Makhtar, M., N.S. Kamarudin, S.A. Fadzli, M. Mohamad, F.S. Mohamad and M.F.A. Kadir, 2015. The contribution of feature selection and morphological operation for on-line business system's image classification. Int. J. Multimedia Ubiquitous Eng., 10: 303-314.
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  19. Kamarudin, N.S., M. Makhtar, S.A. Fadzli, M. Mohamad, F.S. Mohamad and M.F.A. Kadir, 2015. Comparison of image classification techniques using caltech 101 dataset. J. Theor. Applied Inform. Technol., 71: 79-86.
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  20. Mohamad, M., M.Y.M. Saman and M.S. Hitam, 2014. The use of output combiners in enhancing the performance of large data for ANNs. IAENG Int. J. Comput. Sci., 41: 38-47.