Dong‐Seong Kim
Papers
6
Total Citations
107
H-Index
4
About
Dong-Seong Kim is a prolific researcher whose work spans the intersecting domains of intelligent sensing systems, cybersecurity, human activity recognition, and industrial and military networking. His most influential contribution, "Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System" (2018, 49 citations), demonstrates his expertise in computer vision and machine learning, leveraging depth-based image processing to enable robust real-time activity recognition. This work laid a foundation for subsequent research in ambient assisted living, as reflected in his sensor-based e-monitoring systems designed to support independent human living through intelligent surveillance technologies. Kim has also made significant strides in cybersecurity for emerging networks, proposing a Random Forest-based intrusion detection framework for UAV swarm networks (2022, 23 citations), addressing the growing vulnerabilities in drone communications. His interest in industrial and military applications is further evidenced by work on industrial control network overviews, VLC-UWB hybrid networks for military logistics, and biomimetic underwater robots for military IoT operations. With a research portfolio that bridges human-centered computing, network security, and autonomous robotics, Kim has established himself as a versatile and forward-thinking engineer whose contributions continue to shape smart, connected systems.
Research Focus
Key Achievements
Top Papers
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- 3Sensors-Based Ambient Assistant Living via E-Monitoring Technology19 citations · 2022
- 4An Overview on Industrial Control Networks10 citations · 2018
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