Biography

Elsayed Elsedimy is an assistant professor of computer science at Port Said University at Egypt's Faculty of Technology and Information System. In 2018, he earned a PhD in Computer Science with a focus on Cloud Computing and Artificial Modeling from the University of Mansoura, Egypt. Prior to that, he acquired an MSc and BSc in Rough set theory and Decision support systems applications from the same university. Over the past two decades, he has actively participated in various joint research and development projects. Additionally, he has served as a reviewer for esteemed international publications and conferences, including China Communications, Computing, and IEEE Transactions on Systems, Man, and Cybernetics. He is currently focused on researching Cyber Security, Cloud Computing, Machine Learning, Artificial Intelligence, and the Internet of Things.

Educational Qualification

• 2001 B. Sc. Degree in Computers and Information systems, Faculty of Computers and Information systems, Mansoura University, Mansoura, Egypt.
• 2010 M. Sc. Degree in Computer Science, Faculty of Computers and Information systems, Mansoura University, Mansoura, Egypt.
• 2018 Ph.D. in in Computer Science, Faculty of Computers and Information systems, Mansoura University, Mansoura, Egypt.

Academic And Professional Experience

• 2004-2012 Demonstrator, Faculty of Technology, Ministry of Higher Education, Egypt.
• 2012-2018 Assistant Lecturer, Faculty of Management Technology & Information Systems, Department of information Technology, Port Said University, Egypt.
• 2018-Now Lecturer, Faculty of Management Technology & Information Systems, Department of information Technology, Port Said University, Port Said, Egypt.

Publications

1. E.I. Elsedimy, AboHashish, S.M.M. An intelligent hybrid approach combining fuzzy C-means and the sperm whale algorithm for cyber-attack detection in IoT networks. Scientific Reports journal 15, 1005 (2025).
2. Abohashish, S.M.M., Amin, H.H. & Elsedimy, E.I. Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model. Scientific Reports journal , 24994 (2025).
3. E.I. Elsedimy, Herajy, M. & Abohashish, S.M.M. Energy and QoS-aware virtual machine placement approach for IaaS cloud datacenter. Neural Computing and Applications (2025).
4. E.I. Elsedimy, Elhadidy, H. & Abohashish, S.M.M. A novel intrusion detection system based on a hybrid quantum support vector machine and improved Grey Wolf optimizer. Cluster Computing (2024).
5. E. I. Elsedimy, Abohashish, S.M.M., Fahad Algarni, Cardiovascular Diseases (CVDs) detection based on a novel machine learning model, Multimedia Tools and Applications, 2023.
6. Shebl, A., E. I. Elsedimy, Ismail, A. et al. DCNN: a novel binary and multi-class network intrusion detection model via deep convolutional neural network. EURASIP J. on Info. Security , 36 (2024).
7. E. I. Elsedimy, Fahad Algarni, " MOTS-ACO: An improved ant colony optimiser for multi-objective task scheduling optimisation problem in cloud data centres, IET NETWORK , Issue2,March 2022.Pages 43-57.
8. E. I. Elsedimy, Fahad Algarni, "Toward Enhancing the Energy Efficiency and Minimizing the SLA Violations in Cloud   Data   Centers", Applied   Computational   Intelligence   and   Soft Computing, vol. 2021, Article ID 8892734, 14 pages, 2021.
9. E. I. Elsedimy, Algarni, F., “An Intelligent Classifier for Group Decision Making Based on Rough Sets”, Journal of Engineering and Applied Sciences 15 (7): 1805-1808, 2020.
10. E. I. Elsedimy, and Algarni, F., “An Enhanced Multi-Objective Algorithm for Virtual Machine Placement in the Cloud Computing Environment ”, Journal of Computational and Theoretical Nanoscience, Volume 16, Numbers 5-6, May 2019, pp. 1821-1827(7).
11. E. I. Elsedimy, M. Z. Rashad, and M. G. Darwish, “Multi-Objective Optimization Approach for Virtual Machine Placement Based on Particle Swarm Optimization in Cloud Data Centers”, Journal of Computational and Theoretical Nanoscience, 14 (10), 5145-5150, 2017.
12. E. I. Elsedimy, M. Z. Rashad, and M. G. Darwish, “Performance Optimization of Global Load Balancing in Cloud Computing based on M/N/N Model ”, International Journal of Intelligent Computing and Information Sciences, vol ,no, 2015.
13. E. I. Elsedimy, M. Z. Rashad, and M. G. Darwish, “Virtual Machine Migration Algorithm based on linear Regression in Cloud Computing”, International Journal of Intelligent Computing and Information Sciences, vol 15,no3, 2015.
14. Abohashish, S.M.M., Rizk, R.Y E. I. Elsedimy. Trajectory optimization for UAV-assisted relay over 5G networks based on reinforcement learning framework. J Wireless Com Network 2023, 55 (2023).
15. Salama, A. A., Ahmed Zakareia Elsherif, Osama Mohareb Khaled, Mostafa Herajy, E. I. Elsedimy , Huda E. Khalid and Ahmed K. Essa. “Unveiling Big Data Insights: A Neutrosophic Classification Approach for Enhanced Prediction with Machine Learning.” (2025).
16. Khaled, Osama Mohareb, Ahmed Zakareia Elsherif, A. A. Salama, Mostafa Herajy and E. I. Elsedimy. “Evaluating machine learning models for predictive analytics of liver disease detection using healthcare big data.” International Journal of Electrical and Computer Engineering (IJECE) (2025).
17. M. Eisa , E. I. Elsedimy, and M. Z. Rashad, “Enhancing Cloud Computing Scheduling based on Queuing Models” , International Journal of Computer Applications , Vol85 , no 2, 2014.
18. M.Eisa , E. I. Elsedimy, and Alaa Halawani, “Improving Scalability of Cloud System based on Routing Algorithms” , International Journal of Computer Applications Vol 101, no.11, 2014.