Papers

2

Total Citations

30

H-Index

2

About

Chanho Song is a researcher at the forefront of intelligent disaster response systems, with a primary focus on integrating Internet of Things (IoT) technologies and robotics for enhanced search and rescue operations. His most influential work, "Smart Disaster Response in Vehicular Tunnels: Technologies for Search and Rescue Applications" (2018, 23 citations), addresses the critical challenge of locating fires, accident vehicles, and rescue personnel in long tunnels—a problem exacerbated by rapid urbanization. This paper has become a key reference for developing location-tracking solutions in constrained, high-risk environments. Song further advanced the field with his 2017 study, "IoT Sensor Based Mobility Performance Test-Bed for Disaster Response Robots" (7 citations), where he designed a dedicated test-bed to evaluate robot mobility using advanced IoT sensors. This work directly supports the deployment of specialized equipment that improves rescue efficiency in disaster sites. By bridging the gap between sensor technology and robotic performance, Song’s contributions are instrumental in shaping safer, more reliable emergency response systems, making him a notable figure in the intersection of IoT, robotics, and disaster management.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Smart Disaster Response in Vehicular Tunnels: Technologies for Search and Rescue Applications
23 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Daegu Gyeongbuk Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago