Sooeon Lee
Papers
7
Total Citations
102
H-Index
5
About
Sooeon Lee is a pioneering researcher at the intersection of affective computing, intelligent transportation, and cybersecurity. Her work centers on integrating virtual emotion detection with cooperative mobile robots and UAVs to create secure, surveillance-driven frameworks for critical infrastructure. Lee’s most impactful contribution, “Differential Security Barriers for Virtual Emotion Detection in Maritime Transportation Stations,” with 48 citations, introduces a novel secure framework for IoT-supported maritime systems, addressing both route efficiency and surveillance. She further advances the field with “Task-Oriented Surveillance Framework for Virtual Emotion Informatics in Polygon Spaces” (15 citations) and “Affective Surveillance Management in Virtual Emotion Based Smart Complex Infrastructure” (13 citations), which explore task-oriented environments and the metaverse. Lee’s research also extends to intelligent vehicular systems, as seen in her work on geographic segmentation security barriers (12 citations), and to 6G-assisted graded districts for clash-free surveillance (7 citations). Her recent “Fold on Fold Surveillance and Detection Against Non-Biased Penetrations” (2024) pushes boundaries in layered complex infrastructures. With over 100 total citations, Lee is shaping the future of secure, emotion-aware autonomous systems.
Research Focus
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Top Papers
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