Zakir Ahmad Sheikh
Papers
1
Total Citations
2
H-Index
1
About
Zakir Ahmad Sheikh is a leading researcher at the intersection of artificial intelligence, cybersecurity, and autonomous systems. His work focuses on securing robotic cyber-physical systems (CPS) against emerging threats, particularly through the application of machine learning. His most-cited paper, “Machine Learning for the Cybersecurity of Robotic Cyber-Physical Systems: A Review” (2025), provides a comprehensive analysis of vulnerabilities in domains like transportation, healthcare, and manufacturing, proposing ML-driven defenses to protect critical automation infrastructure. This work has already garnered early citations, reflecting its timely importance. Sheikh’s research addresses the growing challenge of securing increasingly connected and complex robotic systems, offering frameworks that enhance resilience against cyberattacks. His contributions are vital for ensuring the safe deployment of autonomous technologies in sensitive environments. With a focus on bridging theoretical advances and practical security solutions, Sheikh is establishing himself as a key voice in the evolving field of CPS cybersecurity, making his work essential reading for researchers and engineers working on the next generation of intelligent, secure autonomous systems.
Research Focus
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Top Papers
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