Nahla Barakat  

Associate Professor Nahla Barakat

Associate Professor & IS Coordinator


Profile

  • Email: nahla.barakat@bue.edu.eg
  • Building: G
  • Employee type: Full-time
  • Extension Number: 1619
  • Room: 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:
    • Feb 2012 - Present: Associate Professor 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. 2Associate 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.
    • Applications of Machine Learning in
      1-Medical diagnosis
      2-Business
      3-Industry
    • Concept drift and support vector machines
    • Feature selection with support vector machines
  • Projects Supervised: Applicaions of Machine Learning in:
    1. Medical Diagnosis
    2. Business
    3. Industry 
    Concept drift and support vector machines
    Feature selection with support vector machines
  • Modules:
    • Fundamental of Multimedia.
    • System analysis & Design.
    • Business Process Modelling.
    • MIS and Decision Support Systems.
  • Responsibilities: IS Coordinator.

Publications

Journal Publications:
  • 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).
  • 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).
  • 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”.).
  • Barakat N. and Diederich. J. (2005). “Eclectic Rule-extraction from Support Vector Machines”,International Journal of Computational Intelligence, 2 (1), pp. 59-62.
  • 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.
Conference Publications:
  • El Kashef, A. and Barakat, N. (2018). “Intelligent Alarm System To Protect Small, Valuable Items”, International Conference on Computer and Applications (ICCA 2018), Beirut, Lebanon, pp 326-330, IEEE Xplore.
  • Barakat, N. (2017). “Cascade Generalization: One Versus Many”, Journal of Computers, Vol.12 (3): pp238-249.
  • Shalaby, A. A. and Barakat, N. (2017)"Mission Possible: A Gamified Approach to Handle Cancer Survivors Stress," 2017 European Conference on Electrical Engineering and Computer Science (EECS), Bern, Switzerland, 2017, pp. 52-55. doi:10.1109/EECS.2017.19.
  • Barakat, N., (2016). “Diagnosis of Metabolic Syndrome: a Diversity Based Hybrid Model”, in LNAI series; " In: Perner P. (eds) Machine Learning and Data Mining in Pattern Recognition. Lecture Notes in Computer Science, Vol 9729. Springer, Cham.
  • 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.
  • 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 .
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.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.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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).
  • 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.

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

MAP

x