Dr. Iyad Suleiman

Lecturer in the Business School - Haifa Campus

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About

Dr. Iyad Suleiman is a researcher in the field of data mining.  His research focuses on the prediction of future events, student success and the effects of socio-cultural data on achievement in learning and adaptive learning. In addition, he is interested in social network analysis and data science. He completed his Ph.D. in 2013 at Bradford University in England. In 2008, he established an elementary school for creativity and excellence in the Rama village in the north of the country, and in the past he was an entrepreneur and a leader in a start-up company in the Horizon Technological Incubator. Later, Dr. Suleiman managed a software development company. He received an M.Sc. degree in Middle Eastern History at the University of Haifa and worked as a teaching assistant in the Department

Education

B.Sc.

תואר ראשון בהוראת המדעים (2020), הטכניון מכון טכנולוגי לישראל

.Ph.D

דוקטור במדעי המחשב, אוניברסיטת בראדפורד – אנגליה (2013)

M.B.A

תואר שני במנהל עסקים (2006), אוניברסיטת חיפה

.M.A

תואר שני בהיסטוריה של המזה"ת (2006), אוניברסיטת חיפה

.M.Sc

מוסמך למדעים בהנדסת מערכות מידע (1993), הטכניון מכון טכנולוגי לישראל

.M.Sc

מוסמך למדעים במדעי המחשב – ארבע שנתי (1986), הטכניון מכון טכנולוגי לישראל

Teaching Areas

Information Systems, Business Administration

Research interests

Genetic Algorithms, Machine Learning, 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.

CV

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