Alper Kanak

Tallinn University of Technology, Isparta University of Applied Sciences

Papers

Total Citations

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About

Alper Kanak is a leading researcher at the intersection of cybersecurity, robotics, and cyber-physical systems (CPS). His work focuses on developing robust verification and validation (V&V) frameworks to ensure the safety and security of autonomous and industrial systems. Kanak’s major contributions include pioneering runtime verification methods for anomaly detection in robotic systems, addressing critical security vulnerabilities as human-robot interaction increases. His research is instrumental in advancing automated inspection cells for automotive manufacturing, as demonstrated in his work within the VALU3S ECSEL project. He has also established comprehensive criteria for evaluating both safety and cybersecurity in CPS, providing engineers with essential tools for system assessment. With his most-cited paper, “Runtime Verification for Anomaly Detection of Robotic Systems Security,” accumulating 13 citations, Kanak’s impact is growing rapidly. His notable achievements include bridging the gap between theoretical V&V frameworks and practical industrial applications, particularly in Industry 4.0 and digital twin environments. For students and researchers, Kanak’s work offers a vital roadmap for building trustworthy, resilient autonomous systems in an increasingly connected world.