Biography

Prof. Omar H. Alhazmi
Department of Computer Science
College of Computer Science and Engineering
Taibah University, Saudi Arabia

Email: [email protected]

Qualifications
2007  Ph.D., Colorado State University, Computer Science, USA
2002  M.Sc., Villanova University, Computer Science, USA
1997  B.Sc., King Saud University, Computer Science, Saudi Arabia

Publications (Selected)

  1. Anand, A., Aggrawal, D., & Alhazmi, O. H. (2025). Multi-phase modeling for vulnerability detection & patch management: An analysis using numerical methods. Computers, Materials and Continua, 84(1), 1529–1544.
  2. Farea, A. H., Askerzade, I., & Alhazmi, O. H., et al. (2025). FSFS: A novel statistical approach for fair and trustworthy impactful feature selection in artificial intelligence models. Comput. Mater. Continua, 84(1), 1457–1484.
  3. Alluhaibi, W. I., & Alhazmi, O. H. (2025). Analyzing unmanned aerial vehicle threats and risks using stride and dread. Operational Perspective of Modeling System Reliability: Research Tools for.
  4. Eren, K. K., Küçük, K., & Özyurt, F., et al. (2025). Simple yet powerful: Machine learning-based IoT intrusion system with smart preprocessing and feature generation rivals deep learning. IEEE Access, 13, 41435–41455.
  5. Aljehani, B. D., & Alhazmi, O. H. (2025). Web3: Enhancing smart contract security by using GNN model. International Conference on Communication and Computational Technologies.
  6. Anand, A., Bhatt, N., & Alhazmi, O. H. (2025). Characterizing and Categorizing Software Vulnerabilities. River Publishers.
  7. Farea, A. H., Alhazmi, O. H., & Samet, R., et al. (2024). AI-powered integrated with encoding mechanism enhancing privacy, security, and performance for IoT ecosystem. IEEE Access, 12, 121368–121386.
  8. Farea, A. H., Alhazmi, O. H., & Kucuk, K. (2024). Advanced optimized anomaly detection system for IoT cyberattacks using artificial intelligence. Computers, Materials and Continua, 78(2), 1525–1545.
  9. Alrehili, A. A., & Alhazmi, O. H. (2023). ISO/IEC 27001 standard: Analytical and comparative overview. International Conference on Advances in Data-driven Computing and.
  10. Abdullah, M., Abdullah, M. A., & Alhazmi, O. H. (2023). Wireless and sensors network security threats and countermeasures. International Conference on Images, Signals, and Computing (ICISC 2023.
  11. Aljohani, E. J., Almukhalfi, H. M., & Alhazmi, O. H. (2023). A brief overview of E-government security. International Conference on Communication and Computational Technologies, 11–23.
  12. Alhejaili, A. D., & Alhazmi, O. H. (2022). Lightweight algorithm for MQTT protocol to enhance power consumption in healthcare environment. Journal on Internet of Things, 4(1), 21–33.
  13. Abdullah, M. A., Alhazmi, O. H., & Aloufi, K. (2022). Securing Internet of Things environment using lightweight blockchain approach. 2022 4th International Conference on Applied Automation and Industrial.
  14. Bhatt, N., Kaur, J., & Anand, A., et al. (2022). Selecting best software vulnerability scanner using intuitionistic fuzzy set TOPSIS. Computers, Materials and Continua, 72(2), 3613–3629.
  15. Khan, M. Z., Javed, M. A., & Ghandorh, H., et al. (2022). Interference-aware transmission scheduling for Internet of Vehicles. Intelligent Automation & Soft Computing, 33(1).
  16. Gandhi, P., Khan, M. Z., & Sharma, R. K., et al. (2022). Software reliability assessment using hybrid neuro-fuzzy model.
  17. Khan, M. Z., Javed, M. A., & Ghandorh, H., et al. (2021). Na-smt: A network-assisted service message transmission protocol for reliable iov communications. IEEE Access, 9, 149542–149551.
  18. Nauman, M., Akhtar, N., & Alhazmi, O. H., et al. (2021). Improving the correctness of medical diagnostics based on machine learning with coloured petri nets. IEEE Access, 9, 143434–143447.
  19. Khan, M. Z., Alhazmi, O. H., & Javed, M. A., et al. (2021). Reliable Internet of Things: Challenges and future trends. Electronics, 10(19), 2377.
  20. Anand, A., Bhatt, N., & Alhazmi, O. H. (2021). Modeling software vulnerability discovery process inculcating the impact of reporters. Information Systems Frontiers, 23(3), 709–722.
  21. Sarkar, A., Singh, M. M., & Khan, M. Z., et al. (2021). Nature-inspired gravitational search-guided artificial neural key exchange for IoT security enhancement. IEEE Access, 9, 76780–76795.
  22. Abdullah, M. A., & Alhazmi, O. H. (2021). A triumvirate approach of blockchain MQTT and edge computing toward efficient and secure IoT. ICCCT 2021, 541.
  23. Javed, A. R., Abid, R., & Aslam, B., et al. (2021). Green5G: Enhancing capacity and coverage in device-to-device communication.
  24. Alhejaili, A. D., & Alhazmi, O. H. (2021). Lightweight key exchange algorithms for MQTT protocol in its environment. International Conference on Digital Technologies and Applications, 355–363.
  25. Anand, A., Bhatt, N., & Alhazmi, O. H. (2021). Vulnerability discovery modelling: A general framework. International Journal of Information and Computer Security, 16(1-2), 192–206.


Profile Details
https://scholar.google.com/citations?user=U9qMVMIAAAAJ&hl=en
https://www.researchgate.net/profile/Omar-Alhazmi

WOS ResearcherID: ABC-7178-2021

SCIRP Newsletter
Copyright © 2006-2026 Scientific Research Publishing Inc. All Rights Reserved.
Top