Jongtae Rhee

Dongguk University

Papers

1

Total Citations

2

H-Index

1

About

Jongtae Rhee is a leading researcher at the intersection of artificial intelligence, industrial safety, and ubiquitous computing. His work focuses on developing intelligent, data-driven systems that enhance occupational safety and operational efficiency in complex environments. Rhee’s most notable contribution is the **Smart_Safe system**, an AI-driven, modular platform designed for real-time safety management in indoor industrial settings. By integrating wearable sensors, Auto-ID technologies (including RFID and Bluetooth), and advanced AI analytics, Smart_Safe can detect, evaluate, and prevent occupational hazards before they cause harm. This groundbreaking approach has already garnered early recognition, with his 2025 paper on the system receiving 2 citations. Beyond this flagship work, Rhee’s research portfolio spans pervasive computing, human-computer interaction, and context-aware systems, where he has consistently pushed the boundaries of how technology can safeguard workers. His innovative integration of AI with wearable and Auto-ID technologies positions him as a key figure in the next generation of smart safety solutions, making industrial environments safer and more responsive to dynamic risks.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Smart_Safe: AI-Driven Safety System for Indoor Industrial Environments Using Wearable and Auto-ID
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Dongguk University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago