Issa Khalil
Papers
2
Total Citations
19
H-Index
2
About
Issa Khalil is a cybersecurity researcher whose work sits at the compelling intersection of artificial intelligence, intrusion detection, and next-generation industrial systems. His research focuses primarily on securing Industry 5.0 environments — the emerging paradigm of human-AI collaboration in smart manufacturing — where the proliferation of IoT devices, robotics, and augmented reality technologies creates expansive and complex attack surfaces. Khalil's most significant contributions center on Explainable AI (XAI)-based intrusion detection systems, a field where he has worked to make AI-driven security decisions transparent and interpretable for both engineers and operators. His 2025 systematic review on XAI-based intrusion detection and adversarial threats in Industry 5.0, which has already garnered 16 citations, represents a landmark synthesis of the field, cataloging existing solutions, open challenges, and promising research directions. His complementary 2024 overview further deepens this literature, accumulating 3 citations since publication. What distinguishes Khalil's scholarship is his dual focus on both advancing defensive AI capabilities and examining their adversarial vulnerabilities — a critically important perspective as industrial systems grow increasingly autonomous. His work provides a valuable roadmap for researchers and practitioners seeking to build robust, trustworthy security frameworks for the factories of the future.
Research Focus
Key Achievements
Top Papers
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- 2