Nahla Barakat  

Assoc.Prof. Nahla Barakat

IS Coordinator


Profile

  • Email: nahla.barakat@bue.edu.eg
  • Extension Number: 1619
  • Room: G/109
  • Education History:

    Bsc. 1985, of Electrical Engineering (Major Communication) Faculty of Engineering, Alexandria University, Egypt.
    MBA. 1998, (Major MIS) 
    Thesis: “Electronic Commerce in Egypt: Assessment and a Proposed Framework “ Arab Academy for Science and Technology- Egypt
    PhD. 2007, in Computer ScienceThesis Title: “Rule Extraction from Support Vector Machines for Medical Diagnosis Prediction and Explanation” School of Information Technology and Electrical Engineering (ITEE) The University of Queensland – Brisbane, Australia.

  • Bio:
    Professional Experience:


    November 2012
    Associate Professor Faculty of Informatics and Computer Science, BUE.

    Feb 2012 - Present 
    Faculty of Informatics and ComputerScience, the British University in Egypt.

    November 2010 – September 2011
    Head of Department Department of Applied IT, German University of Technology in Oman (GUtech)Affiliated with RWTH-Aachen University, Aachen - Germany.

    July 2008 - Dec. 2010
    Associate Professor German University of Technology in Oman (GUtech)Department of Applied Information Technology (AIT)

    Sep. 2007 - June 2008
    Assistant Professor of Computer Modern College of Business Science & Information Systems & Science- Oman Affiliated with the University of Missouri - USA

    Dec. 2006 – June 2007
    Leave for writing the PhD thesis.

    Feb. 2002 - Dec. 2006
    Lecturer Sohar University – Oman (Affiliated with the University of Queensland – Australia)

    Aug, 99 - Feb, 2002
    General Manager of theCentral Information Dept. NEEASAE/Philips - Egypt.

    Dec, 92 – Aug. 99
    Manager of the Computer Centre NEEASAE/Philips - Egypt

    June 86 - Dec, 92
    Engineer NEEASAE/Philips - Egypt

  • Fields of Interest:

    Fundamental of Multimedia
    System analysis & Design
    Business Process Modelling
    MIS and Decision Support Systems

  • Projects Supervised:

    - Applications of Machine Learning in
    1-Medical diagnosis
    2-Business
    3-Industry
    - Concept drift and support vector machines
    -Feature selection with support vector machines

Publications

1. Barakat N. (2013). “Feature Ranking Utilizing Support Vector Machines’ SVs”, Proc. of IEEE International Conference Third International Conference on innovative Computing Communication Technology (INTECH 2013), London, UK .
2. Barakat N. and Barakat M.N. (2011), “Hybrid Intelligent Model for the Diagnosis of Impaired Glucose Tolerance “, KD-HCM 2011, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011) , Athens, Greece .
3. Barakat N. and Bradley A. P. (2010). “Rule Extraction from Support Vector Machines: A Review”, Neurocomputing, Vol. 74, (1-3), pp. 178-190, Elsevier, (DOI: 10.1016/j.neucom.2010.02.016).
4. Barakat N., Bradley A. P. and Barakat M.N. (2010). “Intelligible Support Vector Machines for Diagnosis of Diabetes Mellitus”, IEEE Transaction on Information Technology in Biomedicine, Vol. 14 (4), pp.1114-1120 (DOI: 10.1109/TITB.2009.2039485).
5. Barakat N. (2010). “Cascade Generalization: Is SVMs’ Inductive Bias Useful?”, Proc. of IEEE International Conference on Systems, Man, and Cybernetics: (SMC 2010) , pp. 1393-1399, Istanbul, Turkey.
6. Barakat N. and Bradley A. P. (2009). “Effect of Domain Knowledge on Rule Extraction from Support Vector Machines,” LNAI 5632, pp. 311–321, Springer-Verlag Berlin Heidelberg.
7. Barakat, N. (2007). Rule-Extraction from Support Vector Machines: Medical Diagnosis, Prediction and Explanation, PhD Thesis, School of Information Technology and Electrical Engineering, University of Queensland. Published online November, 2008. http://espace.library.uq.edu.au/view/UQ:158526,
8. Barakat N. and Bradley A. P. (2007). “Rule Extraction from Support Vector Machines: A Sequential Covering Approach,” IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 19 (6), pp. 729-741. This paper was selected by the ACM Computing Reviews in September 2007 as one of the significant contributions in the area, with the comment “The paper is well written, interesting, and gives a deep insight into the state of the art of rules extraction methods”.

9. Barakat N. and Bradley A. P. (2006). “Rule Extraction from Support Vector Machines: Measuring the Explanation Capability Using the Area under the ROC Curve,” Proceedings of The 18th International Conference on Pattern Recognition (ICPR’06), Vol. 2. pp. 812-815, IEEE Press.
10. Barakat M.N., Barakat N., and Al Lawati J. (2006). “Diagnosis of Impaired Glucose Tolerance: do we need Oral Glucose Tolerance Test?,” International Conference on Recent Advances in Diabetes Mellitus and its Complications, Al Ein, UAE.
11. Barakat N. and Diederich. J. (2005). “Eclectic Rule-extraction from Support Vector Machines”, International Journal of Computational Intelligence, 2 (1), pp. 59-62.
12. Barakat M.N., Barakat N., Diederich J., Al Lawati J. (2005). “Diagnosis of Diabetes Mellitus: case of different cutoff values; A Data Mining Approach”, Proceedings of the1St International conference of the gulf group for the study of diabetes (GGSD), Dubai, United Arab Emirates.
13. Barakat M.N., Barakat N., Diederich J., Al Lawati J. (2005). “Modified Cut off Values for the Diagnosis of Impaired Glucose Tolerance (IGT): A Data Mining Approach”, The 9th International Pan Arab Conference on Diabetes, (PACD9), March 2005, Cairo, Egypt.
14. Barakat M.N., Barakat N., Diederich J., Al Lawati J. (2005). “Diagnosis of Diabetes Mellitus: A Data Mining Approach”, International Journal of Diabetes and Metabolism, 13(1), pp. 42.
15. Diederich J., and Barakat N (2004). “Hybrid Rule-Extraction from Support Vector Machines”, Proceedings of IEEE Conference on Cybernetics and Intelligent Systems, pp.1270-1276, IEEE Press.
16. Diederich J., and Barakat N (2004). “Knowledge Initialization for Support Vector Machines”, Kasabov, N., Chan, Z.S.H. (Eds.), Proceedings of the Conference on Neuro-Computing and Evolving Intelligence, Auckland, New Zealand , December 2004. Knowledge Engineering and Discovery Research Institute (KEDRI).
17. Barakat N., and Diederich J. (2004), “Learning-based Rule-Extraction from Support Vector Machines: Performance on Benchmark Data Sets”, Kasabov, N., Chan, Z.S.H. (Eds.), Proceedings of the Conference on Neuro-Computing and Evolving Intelligence, Auckland, New Zealand, December 2004, Knowledge Engineering and Discovery Research Institute (KEDRI).
18. Barakat N, and Diederich J (2004). “Learning-based Rule Extraction from Support Vector Machines”, Proceedings of the 14th International Conference on Computer Theory and Applications (ICCTA’2004), September 2004, Alexandria, Egypt.
19. Barakat N. (2007). “Effect of Domain Knowledge on Rule Extraction from Support Vector Machines”, Technical report, School of Information Technology and Electrical Engineering, University of Queensland, Australia.

Contact US

Address

El Sherouk City , Suez Desert Road , Cairo 11837 - P.O. Box 43

Phone

19283 , +202 26890000 , +202 26300013 / 14 / 15 / 16 / 17 / 18

Mail

info@bue.edu.eg

Website

http://www.bue.edu.eg

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