Samar Hendawi

Al-Zaytoonah University of Jordan

Papers

1

Total Citations

14

H-Index

1

About

Dr. Samar Hendawi is at the forefront of integrating artificial intelligence and machine learning into cybersecurity, with a particular focus on vulnerability management and threat detection. In their highly cited 2023 work, "Unleashing the Full Potential of Artificial Intelligence and Machine Learning in Cybersecurity Vulnerability Management," Dr. Hendawi explores how AI and ML can revolutionize the identification and mitigation of cyber threats in an era of escalating attack complexity. This seminal paper, garnering 14 citations in a short time, demonstrates the researcher's ability to bridge cutting-edge computational techniques with pressing real-world security challenges. By systematically analyzing how intelligent systems can automate and enhance threat detection, Dr. Hendawi provides both theoretical frameworks and practical pathways for organizations to fortify their defenses. Their work is particularly notable for addressing the scalability limitations of traditional cybersecurity approaches, offering a vision where adaptive, learning-based systems can keep pace with evolving attack vectors. For students and researchers entering the field, Dr. Hendawi's research serves as a critical guidepost, illuminating how AI and ML are not merely supplementary tools but transformative forces in the ongoing battle for digital security.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Unleashing the Full Potential of Artificial Intelligence and Machine Learning in Cybersecurity Vulnerability Management
14 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Al-Zaytoonah University of Jordan

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago