Hakan Kayan
Papers
3
Total Citations
27
H-Index
3
About
Hakan Kayan is a rising researcher at the forefront of industrial cybersecurity and ubiquitous computing, specializing in safeguarding next-generation manufacturing systems. His work focuses on developing intelligent, context-aware anomaly detection systems for industrial robotic arms—a critical component of Industry 4.0. Kayan’s major contribution is the creation of CASPER (Context-Aware IoT Anomaly Detection System), which leverages external sensors and edge computing to detect anomalies in real-time, moving beyond traditional built-in sensor approaches. His most-cited paper, "CASPER: Context-Aware IoT Anomaly Detection System for Industrial Robotic Arms" (2024), has already garnered 18 citations, reflecting its immediate impact on the field. By enabling complex machine learning tasks on resource-constrained devices, Kayan’s research reduces maintenance and supervision costs while enhancing the security and reliability of industrial cyber-physical systems. His work addresses the critical challenge of integrating ubiquitous computing into high-stakes environments, offering practical solutions for real-time threat detection. As a key contributor to the smart manufacturing revolution, Kayan’s innovations are paving the way for safer, more efficient industrial automation.
Research Focus
Key Achievements
Top Papers
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