Papers

4

Total Citations

19

H-Index

3

About

Sungjoo Kang is a leading researcher at the intersection of 5G/6G edge computing, the Internet of Things (IoT), and cyber-physical systems (CPS). His work centers on solving the critical challenge of ultra-low latency and high reliability in distributed, real-time control environments. Kang’s most significant contribution is the development of **mIoTwins**, a massive IoT framework for private edge networks that integrates heterogeneous protocols with digital twins, bridging the physical and virtual worlds for industrial automation. His research on **Multiaccess Edge Computing (MEC)-based Simulation as a Service** for autonomous vehicles demonstrates how edge servers can offload complex computation to enable real-time decision-making, such as tollgate selection. With a focus on **autonomic control systems** and **real-time scheduling in edge servers**, Kang addresses the fundamental tension between network transmission speed and deterministic processing. Though his citation counts (ranging from 2 to 9) reflect a niche but growing field, his work is foundational for next-generation applications like remote robot control and safety-critical industrial systems, making him a key architect of the intelligent, low-latency edge.

Research Focus

Key Achievements

3
H-Index
4
Papers
19
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Multiaccess Edge Computing-Based Simulation as a Service for 5G Mobile Applications: A Case Study of Tollgate Selection for Autonomous Vehicles
9 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Electronics and Telecommunications Research Institute

Top Papers

  1. 1
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  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago