
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

GenAI-enhanced Learning Assistants for ST...
GenAI-enhanced Learning Assistants for STEM Education
2025.10.01 ~ 2028.09.30
Read More

Workzone Safety
Computer Vision Model for a Proactive Work Zone Intrusion Warning System
2025.01.02 ~ 2026.12.31
Read More

Data Science Course Development
AI-Enabled Human Factors Research in Construction
2025.05.01 ~ 2026.12.31
Read More

Enhancing Young Adult Mental Health Care
The Role of Multi-Sensory Environments in Telehealth-Based Mental Health Interventions
2025.07.01 ~ 2026.06.30
Read More

AI and AR for Safety Training
Worksite-specific Safety Training Environments with Augmented Reality
2023.06.15 ~ 2026.05.31
Read More

AI for Safety Management
AI for Construction Safety Management
2025.01.01 ~ 2025.08.31
Read More
Recent News
- Aug. 2025 Our team has been awarded a $400K grant from the NSF Improving Undergraduate STEM Education: Directorate for STEM Education (IUSE: EDU). [Details]
- Aug. 2025 Our research outcome from the CII RT-422 project has been featured in ENR (Engineering News-Record) [Details]
- Aug. 2025 Dr. Jinsol Lee, formerly a postdoctoral researcher in our group, has started his new position as an assistant professor at Middle Tennessee State University. Congratulations!
- 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]
Contact Us
Have questions? Interested in collaboration?
Reach out to us below!
Reach out to us below!
Email:
ssai@tamu.edu
Address:
454 Throckmorton St. College Station, TX 77843