The Smart Construction Lab at Ajou University advances digital and automation technologies for safer, more productive, and higher-quality construction.

Research Areas

OSC & Modular Construction
Artificial Intelligence in Construction
Construction Robotics
Human Sensing
Digital Construction

About SCL

The Smart Construction Lab (SCL) at Ajou University focuses on developing advanced digital and automation technologies to improve productivity, safety, and quality in construction projects. Our research integrates artificial intelligence, computer vision, robotics, and BIM-based methodologies to enable data-driven and intelligent construction processes.

If you have an interest in working with SCL, please contact the Director, Prof. Byungjoo Choi (bchoi@ajou.ac.kr).

Latest News

  • Nov 2026Prof. Choi received the Jang Won-Seok Special Award (2026 KICEM Awards) from the Korea Institute of Construction Engineering and Management for the paper by Choi, H., Cho, B., and Choi, B. "Resident Satisfaction Factors in Modular Apartment Housing: A Comparative POE Study of Five Representative Cases across the Development Stages" published in the Korean Journal of Construction Engineering and Management.
  • Nov 2026Jahyun has been selected to receive the Outstanding Paper Award at the annual conference of the Korean Institute of Construction Engineering and Management. Congrats!
  • Oct 2026Journal paper by Choi, H., Kim, J., and Choi, B. "Explainable AI-Based Framework for 3D Structural As-Built Modeling of Aging Buildings in Korea Using Laser Scanning" was accepted by Engineering, Construction and Architectural Management.
  • Oct 2026Journal paper by Saqip, G., Jones, A. C., Choi, B., and Lee, G. "Foundational Role of Neighborhood-Specific Mobility Self-Efficacy in Explaining Older Adult Outdoor Mobility" was accepted by the Journal of Transport & Health.
  • Oct 2026SCL received funding from the Ajou University Industry-Academic Cooperation Foundation (G-Bridge Program) for the project "Development of a 3D Communication Platform for Pre-Occupancy Inspection Results in Apartment Housing."
  • Oct 2026Journal paper by Sung, J., Lee, K., Kim, N., Choi, B., and Jeon, J. "Contactless Detection and Classification of Workers’ Stress via remote Photoplethysmography (rPPG)" was accepted by the Journal of Computing in Civil Engineering, ASCE.

All news →