Hyunbum Kim
Papers
15
Total Citations
178
H-Index
8
About
Hyunbum Kim is a leading researcher in intelligent surveillance, virtual emotion detection, and secure cyber-physical systems for smart cities. His work uniquely integrates cooperative mobile robots, UAVs, and 6G-enabled infrastructure to address critical challenges in security, epidemic prevention, and disaster management. Kim’s most cited paper, “Differential Security Barriers for Virtual Emotion Detection in Maritime Transportation Stations” (48 citations), pioneers a secure framework for IoT-supported maritime systems. He further advances the field with “Intelligent Aerial-Ground Surveillance and Epidemic Prevention” (32 citations), which tackles COVID-19-era public safety through discriminative public and private services. Kim’s contributions extend to task-oriented virtual emotion informatics and the novel Green AI vs. Red AI framework for 6G vehicular networks, balancing efficiency with accuracy. With over 160 total citations from his top ten papers, his research on affective surveillance, geographic segmentation barriers, and trustworthy clash-free detection in graded districts has shaped next-generation smart eco-cities. Kim’s work is essential for researchers exploring the intersection of emotion-aware computing, autonomous systems, and secure, resilient urban infrastructure.
Research Focus
Key Achievements
Top Papers
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