Dr. Saad Subair

College of Computer and Information Sciences,

Alazaeim Alazhari University, Khartoum North, SUDAN

Associate Professor of Computer Science and Information System

Email: ssubair@gmail.com (preferred), sosubair@pnu.edu.sa

Qualifications

2005 Ph.D., Computer Science- Bioinformatics,University of Technology Malaysia, Malaysia

1998 M.S., Computer Science,University of Technology Malaysia, Malaysia

1996 Post Grad. Diploma, Computer Science,University of Technology Malaysia, Malaysia

1994 MSc, Genetics, University Putra Malaysia, Malaysia

1991 B.Sc. (honors), University of Khartoum, Sudan

Research Fields

Bioinformatics

Health Care and Medical Informatics

Machine Learning

Usability

Computer-Human Interaction

Internet programming

Expert Systems

Agent Technology

Publications (selected)

1. Subair, S (2014). Statistical Models for Web Pages Usability. Elsevier publishing invited by Editors. Under process.
2. Subair, S (2014). Assessing the Usability of the Web Pages. International Journal of Internet and Distributed Systems (IJIDS). Scientific Research Publishing. ISSN: 2327-7157.
3. Subair, S (2014). الاسباب و المقومات نظم معلومات تنمية الموارد البشرية: (Human Resource Management Systems: Reasons and Capabilities) in Arabic. The Scientific Journal of Al-Zaim Al- Azhari University.
4. Subair, S (2014). A Data Oriented Approach for Choosing a Method to Assess the Accuracy of a Protein Secondary Structure Predictor. Journal of Science and Technology. Sudan University of Science and Technology.
5. Subair, S O A (2014). The Usability Engineering Of the Universities Web Pages User Interfaces: A Pragmatic Approach. Under press, Princess Nora University. KSA. Book
6. Subair, S and AlEisa, H (2014). Correlation and Regression Models to Assess the Usability of the Web Pages. Int’l Conf. Internet Computing and Big Data- ICOMP’14. July 21-24, 2014. Las Vegas, Nevada, USA.
7. Subair, S O A (2012).  Protein Secondary Structure Prediction: Using Artificial Neural Networks and Information Theory.  Publication Date: February 7, 2012 | ISBN-10: 3847330667 | ISBN-13: 978-3847330660.  Book http://www.amazon.com/Protein-Secondary-Structure-Prediction-Information/dp/3847330667
8. Subair, S.. (2010). Prediction Accuracy of Protein Secondary Structure Considering Different Reduction Methods The International Conference on Intelligent Systems & Nanotechnolgy (IISN-2010). February 26-29, 2010. Computational Intelligence LAB (CI-LAB). Institute of Science and Technology, Klawad (ISTK), Jagadhri, Yamuna Nagar, Haryana, India
9. Subair, S. O. and  Deris, S. (2009). Using The Receiver Operating Characteristics (ROC) Method to Assess A protein Secondary Structure Classifier.  The  International Conference on Intelligent Systems & Networks (IISN-2009). February 22-24, 2009. Computational Intelligence LAB (CI-LAB). Institute of Science and Technology, Klawad (ISTK), Jagadhri, Yamuna Nagar, Haryana, India.
10. Subair, S. O. and  Deris, S. (2008). Using A Binary Classification Method to Assess a Multi-Class Classifier for Protein Secondary Structure Prediction. The 2008 World Congress in Computer Science Computer Engineering, and Applied Computing. July 2008. Las Vegas, Nevada, USA
11. Subair, S. O. and  Deris, S. (2008). An Advanced Method for Protein Secondary Structure Prediction by Combining Neural Networks and Information Theory. The 5th International Conference on Intelligent Systems & Networks (ISN-2008). February 22-24, 2008. Computational Intelligence LAB (CI-LAB). Institute of Science and Technology, Klawad (ISTK), Jagadhri, Yamuna Nagar, Haryana, India.
12. Subair, S. O. and Deris, S. (2007). Blind Test is a Pragmatic Test for a New Protein Secondary Structure Classifier. The 2007 World Congress in Computer Science Computer Engineering, and Applied Computing. June 2007. Las Vegas, Nevada, USA
13. Subair, S. O. and Deris, S. (2007). Predicting Protein Secondary Structure Using Artificial Neural Networks and Information Theory.  In:   Application of Agents and Intelligent Information Technologies. Edited by Vijayan Sugumaran pages: 337-362.  Idea-Group Publishing. USA. http://www.igi-global.com/chapter/predicting-protein-secondary-structure-using/5120
14. Abdalla (Subair), S. O. and  Deris, S. (2006). Protein Secondary Structure Reduction Methods versus Prediction Accuracy. The 2006 World Congress in Computer Science Computer Engineering, and Applied Computing. June 2006. Las Vegas, Nevada, USA
15. Mohd Saberi Mohamad, Safaai Deris, Anjum Iqbal, and Saad Osman Abdalla Subair (2006). Applying Filter Approach and Genetic Algorithm Wrapper for Gene Selection from Gene expression Data.  (BIC05) International Symposium on Bio-Inspired Computing. Putri Pan Pacific Hotel, Johor, Malaysia http://bic05.fsksm.utm.my/presentation1.htm
16. Subair, S. O. and  Deris, S. (2005). Combining Artificial Neural Networks and GOR V Information Theory to Predict Protein Secondary Structure from Amino Acid Sequences. International Journal of Intelligent Information Technologies, 1(4), 53-72 Oct-Dec 2005. USA.
17. Saad Osman Subair and Safaai Deris (2005).Predicting Protein Secondary Structure Using Artificial Neural Networks: Current Status and Future Directions. Information Technology Journal 4(2): 189-196.
18. Subair, S. O, Deris, S. and Mohamad, M. S. (2005). A hybrid Classifier for Protein Secondary Structure Prediction.  Information Technology Journal 4 (4): 433-438,2005.
19. Abdalla (Subair), S. O. and  Deris, S. (2005). An Improved Method for Protein Secondary Structure Prediction by Combining Neural Networks and GOR V Theory. Second Middle East Conference on Healthcare Informatics (MECHCI 2005). Dubai Knowledge Village, Dubai 9-10 April 2005. UAE.
20. Subair, Saad Osman Abdalla. O. and  Deris, S. (2005). Protein Secondary Structure Reduction Methods Significantly Affect Prediction Accuracy. The 4th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-06) , March 8-11, 2006, Dubai/Sharjah, UAE.

Profile Details

http://www.researchgate.net/profile/Saad_Subair?ev=hdr_xprf