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Faculty/Department: Information Technology/ Computer Network Systems
Name: Dr. Bilal Sowan
Academic Rank: Assistant Professor
Year Rank Obtained: 2011
Specialization: Data Mining
Research Interest: Data Mining, Association Rule Mining, Associative Classification, Artificial
Intelligence, E-business, Human Computer Interaction.
Short Bio:
PERSONAL DATA
Name: Dr. Bilal Sowan
Nationality: Jordanian
Place and Date of Birth: Jordan-Amman 20/06/1981
Mobile Number: 00962 0796080528
EDUCATION
PhD, Computer Information Systems, University of Bradford,
Bradford, UK, 2011.
M.Sc, Computer Science with average {3.91} rating
{Excellent}/Amman Arab University for Graduate Studies (Amman,
Jordan), 2006.
B.Sc, Computer Information Systems with average {85.1%} rating
{Excellent} /Applied Science Private University (Amman, Jordan),
2003. I Ranked FIRST in the College of Computer Science and
Information Technology.
TITLES OF THESES
PhD, “Enhancing Fuzzy Associative Rule Mining Approaches for
Improving Prediction Accuracy”.
M.Sc, “Robot Navigation System Using an Efficient Genetic
Algorithm”.
CERTIFICATES
Graduate Teaching Assistance (GTA), Bradford University, UK.
JOB HISTORY
2003-2007
Lab Supervisor in Applied Science Private University (Amman,
Jordan).
2008-2011
Teaching Assistant at Bradford University, UK.
Undergraduate student's assistance and teaching in classroom.
2011-Now
TEACHING EXPERIENCE
Assistant Professor, Department of Computer Information Systems,
Applied Science University, Amman-Jordan.
Undergraduate Courses: Structured Programming, Operating System,
Data Mining and Data Warehousing, Information Retrieval, Object
Oriented (Java), and Database Systems, Introduction to Information
Technology, Communication Technology and Social Networks,
Computer Skills (Improvement), Computer Skills 2.
Publications:
1) PAPERS JOURNALS

Bilal Sowan, "A Comparative Analysis of Exam Timetable Using Data Mining Techniques".
International Journal of Computer Science and Network Security (IJCSNS), Vol. 17, Issue 1,
pp. 73-80, 2017. ISSN: 1738-7906.

Bilal Sowan and Hazem Qattous, "A Data Mining of Supervised learning Approach based on
K-means Clustering". International Journal of Computer Science and Network Security
(IJCSNS), Vol. 17, Issue 1, pp. 18-24, 2017. ISSN: 1738-7906.

Hazem Qattous, Bilal Sowan and Omar AlSheikSalem, “Teachme, A Gesture Recognition
System with Customization Feature” International Journal of Advanced Computer Science
and Applications (IJACSA), Vol. 7, Issue 11, pp. 46 -50, 2016. ISSN: 2156-5570 (Online)
ISSN: 2158-107X (Print).

Nada Hussein, Abdallah Alashqur, and Bilal Sowan. "Using the interestingness measure lift
to generate association rules". Journal of Advanced Computer Science & Technology, Vol. 4,
Issue 1, pp. 156-162, 2015. ISSN: 2227-4332
Bilal Sowan, Keshav Dahal, M. Alamgir Hossain, Li Zhang, and Linda Spencer. "Fuzzy
association rule mining approaches for enhancing prediction performance". Expert Systems
with Applications, Vol., 40, Issue 17, pp. 6928-6937, 2013. ISSN: 0957-4174

2) PAPERS CONFERENCES




Bilal Sowan, Keshav Dahal, and Alamgir Hossain (2013): “A Prediction Model Based on
Multiple Support and Associative Classification Approaches” Proceedings of International
conference on Software, Knowledge, Information Management and Applications (SKIMA
2013), Thailand, 2013.
Bilal Sowan, Keshav Dahal, Alamgir Hossain and M.S. Alam, "Diversification of Fuzzy
Association Rules to Improve Prediction Accuracy", IEEE International Conference on Fuzzy
Systems (FUZZ-IEEE 2010) IEEE World Congress on Computational Intelligence (IEEE
WCCI 2010), Barcelona, Spain, pp 1202 - 1209, 2010.
Bilal Sowan, Keshav Dahal and Alamgir Hossain, "Fuzzy Multiple Support Associative
Classification Approach for Prediction ", Proceedings of the 10th International Conference on
Artificial Intelligence and Soft Computing (ICAISC 2010), L. Rutkowski et al. (Eds.): Part I,
Springer Verlag, Lecture Notes in Artificial Intelligence (LNAI), vol. 6113, Poland, pp. 216–
223, 2010.
Bilal Sowan, Keshav Dahal and Alamgir Hossain, "Knowledge Discovery based on Integrated
Fuzzy and Apriori Approach for Prediction", Proceedings of 3rd International conference on
Software, Knowledge, Information Management and Applications (SKIMA 2009), Fez,
Morocco, pp. 70-77, 2009.
Email :
[email protected]
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