Dr. Shaheen Khatoon

Job Title:

Assistant Professor

Office Phone Number:

135899271

E-mail :

ssyed@kfu.edu.sa

Department :

Information Systems

Office Number :

IS 2086

Qualification:

PhD

Professional Association:

Professional Certificates:

Research Area:

Pattern discovery in data mining
Application of data mining in Software Engineering, WSN and social network data.
Big Data analysis
Database systems and Machine learning

Research Projects:

Mortality Rate Prediction of ICU Data using clustering and machine learning algorithms
A Quotient Space based Clustering Protocol for Wireless Sensor Networks
Implementation of Social Media in organizations as New Paradigm of Interaction
Implementation of data mining framework for wireless sensor network
Increasing software quality by mining program source code

Projects Under Supervision:

Tourist service website: Tourisms guide to Bahrein Kingdom
An android application guide for PYD (Preparatory Year Deanship)
CSIT Request Management System

Courses Taught at KFU:

Database concepts and design
Knowledge management and IR
Data Structure
Selected topics on IS

Publication:

1. Jianfeng Xu, S. Khatoon, A. Mahmood et al. “A Hybrid Framework for ICU Mortality Prediction”, Journal of Software Engineering Vol.8, No.4 2014.
2. Jianfeng Xu, S. Khatoon, A. Mahmood et al. “A Quotient Space based Clustering Protocol for Wireless Sensor Networks”, Information Technology Journal Vol.13, No.15 2014.
3. Shaheen Khatoon, G.Li, A.Mahmood, “Comparison and Evaluation of Source Code Mining Tools and Techniques: A Qualitative Approach”, Intelligent Data Analysis, Volume 17-3, PP. 459-484, 2013
4. Shaheen Khatoon, Mahmood A., Guohui li and jianfeng Xu. “A Novel Integrated Framework to Increase Software Quality by Mining Source Code”, Journal of Software Engineering, Vol.7, No. 3, pp. 86-105, 2013.Academic Publisher New York USA.
5. Shaheen Khatoon, G.Li, Rana M. A. “A Framework for Automatically Mining Source Code”, Journal of Software Engineering, vol. 5, no. 2, pp. 64-77, 2011.Academic Publisher New York USA
6. Shaheen Khatoon, A. Mahmood, “Methodology of Mapping Business Process into Execution Language”, International Journal of Engineering Science & Technology (IJEST), vol. 3, no. 1. 2011.
7. Shaheen Khatoon, G.Li, A. Mahmood, “An evaluation of source code mining techniques”, in Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2011, pp. 1929-1933.
8. Mahmood A., K. Shi and S. Khatoon, “An Efficient Distributed Data Extraction Method for Mining Sensor Network’s Data” IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 1, January 2013 .
9. Mahmood A., Ke Shi, Shaheen Khatoon, and Mi Xiao, “Data Mining Techniques for Wireless Sensor Networks: A Survey” International Journal of Distributed Sensor Network, 2013.
10. Mahmood A. and Shaheen Khatoon, “ An Approach to Generate Test Goals from Use case Scenarios” Information Technology Journal, Volume 12, Number.8, PP 1600-1606, 2013.
11. Mahmood A., K. Shi and S. Khatoon, “Mining data generated by sensor networks: A survey” Information Technology Journal, Volume 11: 1534-1543, 2012.
12. Azhar Mahmood, Ke Shi, Shaheen Khatoon “Controlling In-patient Environment by Mining Sensor Networks Data,” in 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2013.
13. S. Khatoon et al. “A Novel Method of Dynamic Grid Routing for WSN based on Hierarchical Quotient Space”, International Journal of Distributed Sensor Networks (Submitted).
14. Shaheen Khatoon, “Defect Detection Techniques”, 8th National Research Conference SZABIST Islamabad, Jan, 2009
15. Shaheen Khatoon, “Automated Test Goals Generation from Scenarios”, 9th National Research Conference, SZABIST Islamabad, June, 2009

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