Asim Zoulkarni
Papers
1
Total Citations
3
H-Index
1
About
Asim Zoulkarni is a rising researcher at the forefront of cybersecurity, with a specialized focus on securing autonomous robotic systems against advanced persistent threats (APTs). His work bridges game theory and multi-agent security, offering novel frameworks to model and defend against sophisticated, multi-phase attacks that target robotic networks. In his most-cited paper, "Defending Against APT Attacks in Robots: A Multi-phase Game-Theoretical Approach" (2024), Zoulkarni introduces a dynamic, strategic defense mechanism that anticipates attacker moves across multiple stages, significantly enhancing the resilience of robotic systems in critical applications like manufacturing, healthcare, and defense. Though early in his career, his contributions are already gaining traction, with his work cited by peers exploring similar intersections of AI, robotics, and cybersecurity. Zoulkarni’s research is particularly notable for its practical relevance, offering actionable insights for engineers and policymakers grappling with the growing threat of state-sponsored cyberattacks on autonomous systems. As the field evolves, his game-theoretical approaches promise to become foundational in the design of next-generation, self-defending robots.
Research Focus
Key Achievements
Top Papers
- 1