Prof. Saad Subair

Ajman University, Sudan

Professor of Bioinformatics and Computer Science

Email: [email protected] (preferred); [email protected]

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. Alloghani M, Subair S, Thron C. A systematic review on application of data mining techniques in healthcare analytics and data-driven decisions[J]. Artificial Intelligence for Data Science in Theory and Practice, 2022: 119-138.

2. Alloghani M, Thron C, Subair S. Past achievements and future promises of digital transformation: A literature review[J]. Artificial Intelligence for Data Science in Theory and Practice, 2022: 27-39.
3. Alloghani M, Thron C, Subair S. Cognitive computing, emotional intelligence, and artificial intelligence in Healthcare[M]//Artificial intelligence for data science in theory and practice. Cham: Springer International Publishing, 2022: 109-118.
4. Subair S, Thron C. Receiver Operating Characteristic Curves in Binary Classification of Protein Secondary Structure Data[M]//Implementations and Applications of Machine Learning. Cham: Springer International Publishing, 2020: 245-253.
5. Subair S, AlEisa H. Statistical models for web pages usability[J]. Journal of Data Analysis and Information Processing, 2016, 4(01): 40-54.
6. Sin Yi L, Li Chin T, Saberi Mohamad M, et al. A review on metabolic pathway analysis in biological production[J]. Mini-Reviews in Organic Chemistry, 2015, 12(6): 506-523.
7. Subair S. A Data Oriented Approach to Assess the Accuracy of a Protein Secondary Structure Predictor[J]. SUST Journal of Engineering and Computer Science (JECS), 2015, 16(2).
8. Subair S. CASP targets are reliable test for a protein secondary structure classifier[J]. International Journal in IT & Engineering, 2014, 2(10): 20-30.
9. Subair S. The Analysis of Variance Procedure as an Approach to Elucidate the Usability of the Web Pages[J].
10. Subair S, AlEisa H. Correlation and Regression Models to Assess the Usability of the Web Pages[C]//Proceedings on the International Conference on Internet Computing (ICOMP). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2014: 1.

Personal Details

https://www.researchgate.net/profile/Saad-Subair