Iyad Suleiman

Machine Learning
System Programming
Python
R

Automata Theory
Script Languages in Machine Learning
Principles of Artificial Intelligence
Data Structures and Algorithms

Arslan M., Suleiman I., Alhajj, R., & Ridley, M. (2018). Framework for Assessing School Readiness. International Journal of Scientific and Engineering Research, 9(1), 1956-1976. (IF:4.2)

Suleiman I., Arslan M., Alhajj, R., & Ridley, M. (2018). A Cross-platform model for an adaptive play-based assessment tool for school readiness. International Journal of Scientific and Engineering Research, 9(1), p.1945-1955. (IF:4.2)

Suleiman I., Arslan M., Alhajj, R., & Ridley, M. (2017). Prediction Model of School Readiness. International Journal of Scientific and Engineering Research, 8(3), 644-668. (IF:4.2)

Suleiman I., Arslan, M., Alhajj, R., & Ridley, M. (2016). Editors-in-Chief: R. Huang; G.-J. Hwang; S.-C. Kong; W. Chen. The Power of on-line Genetic Algorithm in Stealth Assessment for School Readiness. Journal of Computers in Education, 3, 209-246. DOI 10.1007/s40692-016-0054-5.

Nagi, M., Elhajj, A., Addam, O., Qabaja, A., Zarour, O., Jarada, T., Gao, S., Jida, J., Murshed, A., Sleiman, I., Özyer, T., Ridley, M. and Alhajj, R. (2012) ‘Robust framework for recommending restructuring of websites by analysing web usage and web structure data’, Int. J. Business Intelligence and Data Mining, Vol. 7, Nos. 1/2, pp.4–20.

Suleiman, I, Goo, S., Arslan, M., Salman, T., Polat, F., Alhajj, R. & Ridley, R. (2011). ‘Automated Learning for Assessment of School Readiness: Effectiveness of Reusing Information from Child’s Social Network’, Springer-Verlag, 2011.

Suleiman, I. (2019). I Swarm intelligence Framework for Tutoring. Proceedings of The 7th European Conference on Education (ECE2019), IAFOR – The International Academic Forum, London, July 19-21, 2019.
http://papers.iafor.org/wp-content/uploads/papers/ece2019/ECE2019_52763.pdf

Suleiman, I., Arslan, M., Alhajj, R., Ridley, M. (2015). Implementation of a modified multi objective optimization GA algorithm in a Stealth Assessment for School Readiness. Proceedings of AACE, Global Conference on Learning and Technology, Berlin, 852-857.

Suleiman, I., & Arslan, M. (2013). Integrating Genetic Algorithm into the Development of Computerized Play-Based Assessment tool for School Readiness. Procedia – Social and Behavioral Sciences, Antalya, 82, 852 – 857.

Peng, P., Nagi, M., Sair, O., ElSheikh, A. M., Suleiman, I., Gao, S., Özyer, T., Kianmehr, K., Naji, G., Ridley, M., Rokne, J., & Alhajj, R. (2011). “From Alternative Clustering to Robust Clustering and Its Application to Gene Expression Data”, Proceedings of the International Conference on Intelligent Data Engineering and Automated Learning, Springer-Verlag LNCS, Norwich, UK, Sep. 2011.

Nagi, M., ElSheikh, A., Rifaie, M., Suleiman, I., Peng, P., Karampelas, P., Alhajj, R., & Ridley, M. (2011). “Association rules mining based approach for web usage mining”, Proceedings of IEEE International Conference on Information Reuse and Integration, Las Vegas, Aug. 2011.

Suleiman, I., Salman, T., Gao, S., Polat, F., Arslan, M., Alhajj, R., & Ridley, M., (2010). The power of genetic algorithm in automated assessment of school readiness. Proceedings of IEEE International Conference on Information Reuse and Integration, Las Vegas, 280-285.

Suleiman, I., Gao, S., Salman, T., Polat, F., Arslan, M., Alhajj, R., & Ridley, M. (2012). Effectiveness of Automated Learning in Assessment of School Readiness. In T. Ozyer, K. Kianmehr, & M. Tan (Eds.), Recent Trends in Information Reuse and Integration (pp. 97-114). New York:Springer-Verlag.