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Augmenting the Human Cognitive and Physical Capabilities for Safety
The Safety Systems.AI Lab is dedicated to advancing safety in both workplaces and everyday life by augmenting human cognitive and physical capabilities to prevent accidents and injuries. Our research integrates AI, VR/AR, and advanced sensing technologies to transform how people learn about, manage, and respond to safety risks. By combining insights from cognitive science, engineering, and emerging technologies, we develop intelligent systems that enhance awareness, decision-making, and the ability to respond effectively to safety challenges across diverse environments.

Research Projects

AI and AR for Safety Training
AI and AR for Safety Training
Worksite-specific Safety Training Environments with Augmented Reality
2023.06.15 ~ 2026.05.31
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 Data Science Course Development
Data Science Course Development
AI-Enabled Human Factors Research in Construction
2025.05.01 ~ 2026.12.31
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 VR for Safety Training
VR for Safety Training
Breaking Risk Habituation to Occupational Hazards
2020.09.01 ~ 2025.08.31
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 Workzone Safety
Workzone Safety
Computer Vision Model for a Proactive Work Zone Intrusion Warning System
2025.01.02 ~ 2026.12.31
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 AI for Safety Management
AI for Safety Management
AI for Construction Safety Management
2025.01.01 ~ 2025.08.31
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 Enhancing Attention to Live Traffic
Enhancing Attention to Live Traffic
Virtual Accident Experience for Enhancing Attention to Live Traffic
2023.01.01 ~ 2023.12.31
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Recent News

  • Jun. 2025  Our proposal has been awarded the 2025 Data Science Course Development Grant by the Texas A&M Institute of Data Science (TAMIDS). PI: Dr. Namgyun Kim; Co-PI: Dr. Chuma Nnaji [Details]
  • Apr. 2025  Dr. Kim was invited as a speaker at the Texas A&M Institute of Data Science (TAMIDS) Seminar Series [Details]
  • Dec. 2024  We are selected as the research team for the RT-422 project by the Construction Industry Institute (CII). PI: Dr. Yongcheol Lee, LSU; Co-PI: Dr. Namgyun Kim [Details]
  • Dec. 2024  Our proposal for the Seed Program for AI, Computing, and Data Science (SPAICD) has been awarded by the Texas A&M Institute of Data Science (TAMIDS). PI: Dr. Namgyun Kim; Co-PI: Dr. Yalong Pi [Details]

Contact Us

Have questions? Interested in collaboration?
Reach out to us below!
Email: ssai@tamu.edu
Address: 454 Throckmorton St. College Station, TX 77843