Dr. Ahmed Hamza Osman Ahmed

Professor
King Abdulaziz University, Saudi Arabia

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

My URL
https://livedna.org/249.5246

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Biography

Professor Dr. Ahmed Hamza Osman graduated with a Bachelor of Computer Science from International University of Africa. He obtained his Masters Degree in Computer Science from Sudan University of Science and Technology, Sudan and his PhD in Computer Science with excellent academic achievements from Universiti Teknologi Malaysia (UTM). He was the Head of Computer Science department at the Faculty of Computer Studies at international University of Africa. He worked as Assistant professor at International University of Africa in 2013, Northern Border University (Arar – Saudi Arabia) from 2013 – 2015, and King Abduaziz University from – 2015 - 2018. Currently he works as Associate Professor in King Abduaziz University (KAU) Saudi Arabia. In his academic career, Assoc. Prof. Dr. Ahmed Hamza Osman has taught at both undergraduate and postgraduate level, mostly for subjects related to Computer Science, Information Technology, and Information Systems. His research interest includes Data Analytics, Artificial Intelligence, Information Retrieval, Plagiarism Detection, Soft Computing, and Data Mining, Natural Language Processing and Text Summarization. Assoc. Prof. Dr. Ahmed Hamza Osman has been involved in different funded research projects related in computer science. He has also authored over 50 journal articles and conference papers describing research into novel techniques for computerized Information Technology and Computer Science, with particular reference to textual, Soft Computing, NLP, and biological information. Among the research and innovation awards received by Assoc. Prof. Dr. Ahmed Hamza Osman are the PECIPTA 2011 Gold Medal award, the I-inova 2010 Gold Medal award, BioInnovation 2011 Bronze Award, UTM 2010 Best PhD student Award 2013, Best Postgraduate student Award 2013.

Area of Interest:

Computer Sciences
Soft Computing
Text Summarization
Text Mining
Information Retrieval

Selected Publications

  1. Osman, A.H. and A.A. Alzahrani, 2019. New approach for automated epileptic disease diagnosis using an integrated self-organization map and radial basis function neural network algorithm. IEEE Access, 7: 4741-4747.
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  2. Osman, A.H. and H.M. Aljahdali, 2018. Role term-based semantic similarity technique for idea plagiarism detection. Int. J. Adv. Comput. Sci. Applic., 9: 475-484.

  3. Osman, A.H., 2017. An enhanced breast cancer diagnosis scheme based on two-step-SVM technique. Int. J. Adv. Comput. Sci. Applic., 8: 158-165.
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  4. Osman, A.H. and O.M. Barukab, 2017. SVM significant role selection method for improving semantic text plagiarism detection. Int. J. Adv. Applied Sci., 4: 112-122.

  5. Osman, A.H. and H.M. Aljahdali, 2017. Feature weight optimization mechanism for email spam detection based on two-step clustering algorithm and logistic regression method. Int. J. Adv. Comput. Sci. Applic., 8: 420-429.
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  6. Osman, A.H. and H.M. Aljahdali, 2017. Diabetes disease diagnosis method based on feature extraction using K-SVM. Int. J. Adv. Comput. Sci. Applic., 82: 236-244.
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  7. Hassan, S.A. and A.H. Osman, 2017. An improved machine learning approach to enhance the predictive accuracy for screening potential active USP1/UAF1 inhibitors. Int. J. Adv. Comput. Sci. Applic., 8: 144-148.
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  8. Altaher, A. and A.H. Osman, 2017. An intelligent approach for predicting social media impact on brand building. J. Theor. Applied Inform. Technol., 95: 4097-4102.
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  9. Alshamrani, B.S. and A.H. Osman, 2017. Investigation of hepatitis disease diagnosis using different types of neural network algorithms. Int. J. Comput. Sci. Network Security, 17: 242-246.
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  10. Osman, A.H., 2016. An evaluation model of tecaching assistant using artificial neural network. VAWKUM Trans. Comput. Sci., 11: 10-14.
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  11. Elssied, N.O.F., O. Ibrahim and A.H. Osman, 2015. Enhancement of spam detection mechanism based on hybrid k-mean clustering and support vector machine. Soft Comput., 19: 3237-3248.
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  12. Elssied, N.O.F., O. Ibrahim and A.H. Osman, 2014. A novel feature selection based on one-way anova f-test for e-mail spam classification. Res. J. Appl. Sci. Eng. Technol., 7: 625-638.
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  13. Kumar, Y.J, N. Salim, A.H. Osman and A. Abuobieda, 2013. Using SVMs for classfication of cross-document relationships. Pertanika J. Sci. Technol., 21: 239-246.

  14. Hashim, H.A., A. Ahmed, N. Salim, O.Y. Sheng and A. Osman et al., 2013. A new database integration model using an ontology-driven mediated warehousing approach. J. Theor. Appl. Inf. Technol., 56: 392-409.
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  15. Abuobieda, A., N. Salim, Y.J. Kumar and A.H. Osman, 2013. Opposition Differential Evolution Based Method for Text Summarization. In: Intelligent Information and Database Systems. Selamat, A., N.T. Nguyen and H. Haron (Ed.). Springer, Berlin, Heidelberg, Germany, ISBN: 978-3-642-36545-4, pp: 487-496.
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  16. Abuobieda, A., N. Salim, Y.J. Kumar and A.H. Osman, 2013. An Improved Evolutionary Algorithm for Extractive Text Summarization. In: Intelligent Information and Database Systems. Selamat, A., N.T. Nguyen and H. Haron (Ed.). Springer, Berlin, Heidelberg, Germany, ISBN: 978-3-642-36542-3, pp: 78-89.
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  17. Osman, A.H., N. Salim, Y.J. Kumar and A. Abuobieda, 2012. Fuzzy Semantic Plagiarism Detection. In: Advanced Machine Learning Technologies and Applications. Hassanien, A.E., A.B.M. Salem, R. Ramadan and T. Kim (Ed.). Springer, Berlin, Heidelberg, Germany, ISBN: 978-3-642-35325-3, pp: 543-553.
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  18. Osman, A.H., N. Salim, M.S. Binwahlan, R. Alteeb and A. Abuobieda, 2012. An Improved Plagiarism Detection Scheme Based on Semantic Role Labeling. Appl. Soft Comput., 12: 1493-1502.
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  19. Osman, A.H., N. Salim and A. Abuobieda, 2012. Survey of Text Plagiarism Detection. Comput. Eng. Appl., 1: 37-45.
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  20. Elhadi, A.A.E., M.A. Maarof and A.H. Osman, 2012. Malware detection based on hybrid signature behaviour application programming interface call graph. Am. J. Applied Sci., 9: 283-288.
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  21. Osman, A.H., N. Salim, M.S. Binwahlan, H. Hentably and A.M. Ali, 2011. Conceptual Similarity and Graph-Based Method for Plagiarism Detection. J. Theor. Appl. Inf. Technol., 32: 135-145.
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  22. Abuobieda, A., N. Salim, R.A. Eltayeb, M.S. Wahlan, L. Suanmali and A. Hamza, 2011. Pseudo genetic and probablisitic-based feature selection method for extractive single document summarization. J. Theor. Appl. Inf. Technol., 32: 80-87.
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  23. Osman, A.H., N. Salim and M.S. Binwahlan, 2010. Plagiarism detection using graph-based representation. J. Comput., 2: 36-41.
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Member since December, 2016