Seungheyon Lee
Papers
7
Total Citations
102
H-Index
5
About
Seungheyon Lee is a leading researcher at the intersection of affective computing, intelligent transportation, and cybersecurity, specializing in virtual emotion detection for next-generation surveillance systems. Lee’s most impactful work introduces differential security barriers for maritime transportation stations, integrating cooperative mobile robots and UAVs to enhance IoT-supported security—a paper that has garnered 48 citations. Expanding this paradigm, Lee pioneered task-oriented surveillance frameworks for polygon spaces and affective management in smart complex infrastructures, each earning over a dozen citations. A hallmark of Lee’s contributions is the development of Geographic Segmentation Security Barriers (GeoSS) for intelligent cooperative vehicular systems, enabling discriminative priority-based emotion detection. Lee also advanced 6G-assisted clash-free surveillance for graded districts and time-varied self-reliance aerial ground traffic monitoring with pre-recognition collision avoidance. Most recently, Lee proposed fold-on-fold surveillance to detect non-biased penetrations in layered complex infrastructures. With a cumulative citation count exceeding 100, Lee’s work is foundational for secure, emotion-aware autonomous systems, making him a pivotal figure in shaping resilient, human-centric smart infrastructure.
Research Focus
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Top Papers
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