Ayad Barsoum, Ph.D.Associate Professor of Computer Science
- Ph.D., University of Waterloo (Canada), 2013
- M.S., Ain Shams University (Egypt), 2004
- B.S., Ain Shams University (Egypt), 2000
- .Net Programming
- Security and Privacy
- Advanced Network Data Communication
- Special Topics (Cybersecurity)
- Special Topics (Cloud Computing)
- Visual Programming
- Files and Database
Ayad Barsoum, Ph.D., doesn’t just teach concepts to his students; he engages them in discussions and debates. This type of interaction, Barsoum believes, is crucial to helping students understand the subject at hand.
He also brings industry experience to his role as Assistant Professor of Computer Science, having previously served as a postdoctoral fellow of Intrafinity Inc. in Toronto. His research interests include data integrity in cloud computing systems, replicating data over cloud servers, information and network security, cryptographic protocols, and knowledge discovery and data mining.
Ayad Barsoum and M. Anwar Hasan, “Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing Storage Systems“, IEEE Transactions on Parallel and Distributed Systems. pp. 2375 – 2385, 2013.
Ayad Barsoum and M. Anwar Hasan, “Integrity Verification of Multiple Data Copies over Untrusted Cloud Servers”. In Proceedings of the 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID ’12, Ottawa, Canada, 2012.
J. Adikari, Ayad Barsoum, M. A. Hasan, A. H. Namin, and C. Negre, “Improved Area-Time Trade-offs for Field Multiplication using Optimal Normal Bases”, IEEE Transactions on Computers, vol. 99, pp.193 – 199, 2011.
Abdel-Badeeh M. Salem, Mostafa M. Syiam, Ayad Barsoum, “Unsupervised Artificial Neural Networks for Clustering of Document Collections”, Egyptian Computer Science Journal (ECS), vol. 26, no. 1, 2004.
Abdel-Badeeh M. Salem, Mostafa M. Syiam, and Ayad Barsoum, “A Hybrid Dynamic Self-Organizing Map for Clustering of Document Collections”. In Proceedings of 2nd WSEAS International Conference on Artificial Intelligence, Knowledge Engineering, and Databases, AIKED’03, vol. 2, Greece, 2003.
Abdel-Badeeh M. Salem, Mostafa M. Syiam, and Ayad Barsoum, “Improving Self-Organizing Feature Map (SOFM) Training Algorithm Using K-means Initialization”. In Proceedings of 5th International Conference on Enterprise Information Systems, ICEIS ’03, vol.1, France, 2003.