Full Name

Sameh Hassanien Basha Mahran

Position

Assistant Professor

Department

Mathematics

Faculty

Faculty of Science

University

Cairo University

Email

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Contact Details

 

Website

https://scholar.cu.edu.eg/?q=samehbasha/

Brief Biography

Sameh H. Basha,  is an  Assistant Professor  at  the Department  of Mathematics,  Computer Science Division, Faculty of Science,  Cairo University, Egypt. He received the B.Sc.,  degree in mathematics and computer science from faculty of science, Cairo University in 2005. Also he got his Master Degree in Computer Sciences from Cairo University with Thesis Title “Complexity Analysis Of Input Rules for Genetic - Fuzzy Data Mining” in 2011. Sameh got his  PhD degree under Supervision of Prof Aboul Ella Hassanien (Cairo University-Faculty of Computers and Information- Information Technology Department), Prof Laila Fahmie and Dr Areeg Saied(Cairo University-Faculty of Science-Mathematics Department) in subject Neutrosophic set and its applications in 2018.

Brief CV

 

Education

  • Cairo University, Faculty of Science, Department of Mathematics
  • PhD., Computational Science, Sep 2018
    • Thesis Topic: Neutrosophic Set and its Applications
    • Advisor: L. F. Abdelal, Ph.D, Aboul Ella Hassanien, Ph.D, and Areeg Abdalla, Ph.D

  • M.Sc., Computational Science, June 2011
    • Thesis Topic: Complexity analysis of input rules for genetic-fuzzy data mining
    • Advisors: L. F. Abdelal, Ph.D and Amr Badr, Ph.D

  • B.Sc., Mathematics, May 2005  

Research Interest

  • Soft Computing (Fuzzy Logic and Genetic algorithm)      
  • Rough Set
  • Neutrosophic set and Neutrosophic Logic                               
  • Data Mining

Awards and Honorary Degrees

 

Courses Taught

  • Introduction to computer.
  • Introduction to programming language.
  • Data Mining: Concepts and Techniques  

Selected Publications

  • Basha, S. H., Tharwat, A., Abdalla, A. S., Hassenian, A. E. (2019). Neutrosophic rule-based prediction system for toxicity effects assessment of biotransformed hepatic drugs. Expert Systems with Applications, 121, 142-157.
  • Basha, S. H., Tharwat, A., Ahmed, K., Hassenian, A. E. (2018). A Predictive Model for Seminal Quality Using Neutrosophic Rule-Based Classification System. International Conference on Advanced Intelligent Systems and Informatics, 495-504.
  • Hassanien, A.E., Basha, S. H., Abdalla, A. S. (2018). Generalization of Fuzzy C Means based on Neutrosophic Logic. Studies in Informatics and Control, 27(1), 43-54, ISSN 1220-1766.  
  • Basha, S. H., Baz, S.M., Hassanien, A.E., Sahlol, A.T. (2017). Neutrosophic rule based prediction system for assessment of pollution on Benthic Foraminifera in Burullus Lagoon in Egypt. 2017 12th International Conference on Computer Engineering and Systems (ICCES), 663-668.
  • Basha, S. H., Abdalla, A. S., Hassenian, A. E. (2016). GNRCS: Hybrid Classification System based on Neutrosophic Logic and Genetic Algorithm. 2016 12th International Computer Engineering Conference (ICENCO), 53-58.
  • Basha, S. H., Abdalla, A. S., Hassenian, A. E. (2018). NRCS: Neutrosophic Rule Based Classification System. In: Bi Y., Kapoor S., Bhatia R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham.
  • Hossam M Zawbaa, M.H., Abbass, M., Basha, S. H., Hazman, M., Hassenian, A. E. (2014). An automatic flower classification approach using machine learning algorithms. Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on, 895-901.  

Graduated MSc Students

 

Graduated PhD Students

 

Selected Previous Projects

 

Current Funded Projects

 

Some News