Dr. Usama mokhtar

Assistant Professor /Scientific Research Group in Egypt

SRGE

Usama mokhtar  received his B.Sc. degree in 1997 from Faculty of Science and Education, math and computer science Department, Cairo University, Egypt. He Studied Computer Science at the Institute of Statistical Studies and Research and received Specialization Diploma in Computer Science in 2001.

He received M.Sc. degree in 2010, and Ph.D. degree in 2017, both from Institute of Statistical Studies and Research, Cairo University, Egypt. He is a member of the Scientific Research Group in Egypt (SRGE).  He selected as reviewer for Computer and Electronic in Agricultures journal. His research areas include computational intelligence, image processing and data mining. Usama has published many papers in conferences, journal.

Google Scholar 

https://scholar.google.com/citations?hl=en&user=U6xaikgAAAAJ

List o f publications

Journal Publication:

  • AE Hassanien, T Gaber, U Mokhtar, H Hefny “An improved moth flame optimization algorithm based on rough sets for tomato diseases detection”, Computers and Electronics in Agriculture, Vol. 136, PP. 86–96, 15 April 2017, Elsevier.

Conferences Publications:

  • Mokhtar, Usama, Nashwa El Bendary, Aboul Ella Hassenian, E. Emary, Mahmoud A. Mahmoud, Hesham Hefny, and Mohamed F. Tolba. "SVM Based Detection of Tomato Leaves Diseases." In Intelligent Systems, pp. 641-652. 2014, Springer International Publishing.
  • Mokhtar, U., Ali, M. A., Hassanien, A. E., & Hefny, H., Identifying Two of Tomatoes Leaf Viruses Using Support Vector Machine. In Information Systems Design and Intelligent Applications, pp. 771-782, 2015, Springer International Publishing. 
  • Mokhtar, U., Ali, M. A., Hassanien, A. E., & Hefny, H., Tomato leaves diseases detection approach based on Support Vector Machines. In 2015 11th International Computer Engineering Conference (ICENCO) pp. 246-250, IEEE.
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