Dr. Iyad Suleiman

Lecturer in the Business School - Haifa Campus

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About

Dr. Iyad Suleiman is a researcher in Data Mining and Computational Machine Learning. He focuses on predicting future events, student success in studies, and the effects of sociocultural data on learning achievements and adaptive learning. In addition, Suleiman is interested in social network analysis and data science. He completed his doctorate in 2013 at the University of Bradford in England under Prof. Mick Ridley of the University of Bradford and Prof. Reda Alhaj of Calgary University of Canada. He founded a start-up in the Ofek technology incubator in Migdal Haemek and then managed a software development company. In earlier years, Suleiman worked as a programmer at several software companies. He also studied and achieved a Master’s Degree in Middle Eastern History at the University of Haifa and worked as a teaching assistant in the department.

Education

B.Sc.

Science and Technology, Technion (2021)

.Ph.D

Computer Science, University of Bradford, UK (2013)

M.B.A

Business Administration, University of Haifa (2006)

.M.A

History of the Middle East, University of Haifa (2006)

.B.Sc

Information Systems Engineering, Technion (1993)

.B.Sc

Computer Science, Technion (1986)

Teaching Areas

Information Systems, Business Administration.

Research interests

Genetic Algorithms, Machine Learning, and Prediction Models.

Selected Publications

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.
Suleiman I., Arslan M., Alhajj, R., & Ridley, M. (2018). A Cross-platform model for an adaptive play-based assessment tool for school readiness. Journal of Information & Knowledge Management, Volume 9, Issue 1, Jan 2018.
Arslan M., Suleiman I., Alhajj, R., & Ridley, M. (2018). Framework for Assessing School Readiness. Journal of Information & Knowledge Management, Volume 9, Issue 1, Jan 2018.
Suleiman I., Arslan M., Alhajj, R., & Ridley, M. (2017). Prediction Model of School Readiness. Journal of Information & Knowledge Management, Volume 8, Issue 3, March 2017.
Suleiman I., Arslan M., Alhajj, R., & Ridley, M. (2016).The Power of on-line Genetic Algorithm in Stealth Assessment for School Readiness. Journal of Computers in Education.
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. AACE - Global Learn 2015, Berlin.
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, Vol. 82. 852 – 857.