Byeong Ho Kang

University of Tasmania, Pusan National University

Papers

4

Total Citations

42

H-Index

2

About

Byeong Ho Kang is a leading researcher whose work spans the critical intersection of cybersecurity, robotics, and intelligent healthcare systems. His most impactful contribution is a highly cited 2022 paper on a context-aware clone node attack detection scheme for the Internet of Things, which has garnered 36 citations and addresses a fundamental security vulnerability in IoT networks. Dr. Kang’s pioneering work in robotics began with his research on illumination identification for the AIBO robot in the RoboCup Four Legged League, where he tackled the challenge of color-based vision calibration under changing lighting conditions. He has also advanced surgical robotics, developing robust control algorithms for cable-pulley mechanisms in surgical instruments, and explored human-robot interaction by integrating robotic interfaces with expert systems for medication review—a project aimed at improving health monitoring for the elderly. Through these diverse contributions, Dr. Kang demonstrates a consistent focus on enhancing system reliability, security, and practical utility, making his work relevant to students and researchers in computer vision, IoT security, and assistive robotics.

Research Focus

Key Achievements

2
H-Index
4
Papers
42
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A context-aware information-based clone node attack detection scheme in Internet of Things
36 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Tasmania, Pusan National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago