Jong‐Hyouk Lee
Papers
2
Total Citations
85
H-Index
1
About
Jong-Hyouk Lee is a leading researcher in cybersecurity, wireless sensor networks, and edge computing, with a focus on developing secure, efficient communication systems. His major contributions include advancing localization algorithms through his work on the Extended Kalman Filter (EKF) for robotic systems in Wireless Sensor Networks, where he demonstrated how EKF can improve accuracy in non-linear environments with autonomous noise—a key innovation for real-time edge computing applications. This work, published in 2020, has garnered 84 citations, reflecting its impact on robotics and IoT. More recently, Lee has pioneered authentication mechanisms for emerging technologies, such as his 2025 paper on a Decentralized Identifier (DID)-based one-time session key protocol for secure human-AI chatbot communication, addressing critical privacy and trust challenges in AI interactions. His research bridges theoretical foundations and practical implementations, making him a notable figure in secure networked systems. Lee’s work continues to influence fields from autonomous robotics to AI security, underscoring his role in shaping next-generation communication infrastructures.
Research Focus
Key Achievements
Top Papers
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