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Assistant Professor

Dr. Shady Mohammed Hamouda, PhD

shady.hamouda@lc.ac.ae
600 500606
Liwa College, Saeed Bin Ahmed Al Otaiba Street (Al Najda Street previously), Al Danah, Baniyas Tower B, Abu Dhabi, United Arab Emirates.

Professional Summary

Dr. Shady Mohammed Hamouda, PhD

Dr. Shady is an Information Technology faculty member at the Department of Business. He has over 14 years of experience highly motivated with a proven track record in Information Systems and Teaching fields. Dr. Shady has successful experience in teaching, advising, development, research, and community service. He serves as a guiding light for aspiring Information Technology professionals. Dr. Shady has made significant strides in the field of Information Technology, with a special focus on database management systems and big data.

Short Bio

Dr. Shady currently works as an Assistant Professor of Information Technology in the Faculty of Business at Liwa College. He is a specialist in Programming languages, Database management systems, and Web development. A prolific researcher, Dr. Shady has made significant strides in the field of Information Technology, with a special focus on databases and big data. His scholarly contributions have been published in reputable journals and conferences. He attended and presented at various international conferences around the world. In addition to his instructional responsibilities, Dr. Shady actively participates as a committee member for the Online Conference Service, Fulfilling the role of a reviewer for the esteemed “Journal of Big Data” by Springer Nature, and contributing as a committee member to the 2022 International Conference on Computer Science and Software Engineering (CSASE).

Core Qualifications

  • Oracle Building Internet Application
  • Team Building- International Performance Excellence
  • Java 2 Enterprise Edition (J2EE)
  • Outcome Based Curriculum Development and Assessment
  • Theoretical and conceptual Framework
  • Writing Journal-Fear Factor & impact factor
  • Thesis Writing & examiners expectation
  • Writing of a Research paper
  • Advance quantitative research method
  • Toward an effective presentation

Education

  • University Sains Malaysia, Malaysia, 2020
    Doctor of Philosophy: Computer Sciences
  • University Utara Malaysia, Malaysia, 2009
    Master of Science: Information Technology
  • Al Azhar University, Palestine, 2006
    Bachelor Computer Engineering & Information Technology

Publications

  • Hamouda, S.; Anbar, M. and Elejla, O. (2023). Normalization and Denormalization for a Document-Oriented Data. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3, ISBN 978-989-758-623-1, ISSN 2184-433X, pages 972-979. DOI: 10.5220/0011868100003393.
  • Elejla, O. E., Anbar, M., Hamouda, S., Faisal, S., Bahashwan, A. A., & Hasbullah, I. H. (2022). Deep-Learning-Based Approach to Detect ICMPv6 Flooding DDoS Attacks on IPv6 Networks. Applied Sciences, 12(12), 6150.
  • Hamouda, S.; Sughayyar, R. and Elejla, O. (2021). Semi-Structured Schema for a Big Data (S-SSBD). In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD, ISBN 978- 989-758-533-3; ISSN 2184-3228, pages 202-209. DOI: 10.5220/0010687600003064.
  • Hamouda, S., Zainol, Z. and Anbar, M. A Flexible Schema for Document Oriented Database (SDOD). In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019), pages 413-419 ,ISBN: 978-989-758-382-7.
  • Hamouda, S. and Zainol, Z. “Semi-Structured Data Model for Big Data (SS-DMBD)”.In Proceedings of the 8th International Conference on Data Science, Technology and Applications (DATA 2019), pages 348-356.ISBN: 978-989-758-377-3.
  • Elejla, O. E., Anbar, M., Belaton, B., & Hamouda, S. (2018). Labeled flow-based dataset of ICMPv6-based DDoS attacks. Neural Computing and Applications, 1-18.
  • Hamouda, Shady, and Zurinahni Zainol. "Document-Oriented Data Schema for Relational Database Migration to NoSQL." 2017 International Conference on Big Data Innovations and Applications (Innovate-Data). IEEE, 2017.

Additional Information