Ghang Lee

Short CV

Ghang Lee is a Professor of Architecture and Architectural Engineering at Yonsei University in Seoul, South Korea, where he directs the Building Informatics Group. His research spans Building Information Modeling (BIM), information interoperability, AI applications in construction, and automated code compliance checking. Dr. Lee has significantly contributed to the development of cutting-edge systems, including the Tower Crane Navigation System (TCVS), a smart IoT-based exit sign system, and NADIA, a speech-to-BIM tool for architectural detailing.

He has authored over 200 papers in leading academic journals and conferences and is a co-author of the widely recognized BIM Handbook. His work has earned him international recognition, with honors such as the Silver Medal from the President of Korea and multiple Outstanding Research Achievement Awards from Yonsei University, Georgia Tech, and the Korea Association of Industry, Academy, and Research Institute (KAIARI). He has also been recognized by Stanford University and Elsevier as one of the top 2% of scholars in building and construction.

Dr. Lee is actively involved in shaping global BIM standards and continues to pioneer innovations in AI-driven construction technologies. In collaboration with international academic and industry partners, he has advanced smart construction, information standardization, and digital transformation in the built environment.

Selected Awards

• Outstanding Conference Paper Awards:
  • 2007 / 2008 / 2010 / 2011 / 2012 / 2017 / 2018 / 2021/ 2023, Korea Institute of Construction Engineering and Management (KICEM)
  • 2017 / 2021/ 2022, Architectural Institute of Korea (AIK)
  • 2018 / 2024, Computational Design and Engineering (CDE)
  • 2017, Computational Structural Engineering Institute of Korea (COSEIK)
  • 2015, Korea Institute of Building Construction (KIC)
• 2007 / 2008 / 2011 / 2012 / 2015 / 2017 / 2021 /2024, Yonsei Distinguished Teaching Awards, Yonsei University, Seoul, Korea
• 2018, Minster’s Commendation, Ministry of Land, Infrastructure, and Transport of Korea
• 2011, Outstanding Research Achievement Award, Yonsei University
• 2010, Best Paper Award of the Year, Journal of Korea Institute of Construction Engineering and Management (KICEM)
• 2009, Excellence in Research Award for “Development of a light-weight economic pull-out for testing concrete strength,” the Korea Association of Industry, Academy and Research Institute (KAIARI)
• Outstanding Research Faculty Award for Research Development, College of Architecture, Georgia Tech, Atlanta, USA 2005
• ARCC/King Student Medal for a Ph.D. Thesis, Excellence in Architectural + Environmental Design Research, the Architectural Research Centers Consortium (ARCC) + Georgia Tech, USA 2005
• Silver Medal, Presidential Award of Korea, The 22nd National Quality Management Competition, Research & Development on Consumer's Satisfaction Section (Design & Construction Quality Management), Seoul, Korea 1996

Research Interests

Building information modeling (BIM), interoperability, information requirements and quality management, artificial intelligence in construction

Selected Publications

Books:

• Sacks, R., Lee, G., Burdy, L. and Bolpagni, M. (2025, in press). BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers (4th Edition), Wiley, Hoboken, New Jersey.
• Lee, G. 2022. “Building information modeling and knowledge management.” in W. Lu and C. Anumba Eds Res. Companion Build. Inf. Model., 60–79. Edward Elgar Publishing. https://doi.org/10.4337/9781839105524
   

Journal papers of the past five years:

• S. Jang, G. Lee, J. Oh, J. Lee, B. Koo, Automated detailing of exterior walls using NADIA: Natural-language-based architectural detailing through interaction with AI, Advanced Engineering Informatics 61 (2024) 102532. https://doi.org/10.1016/j.aei.2024.102532
• Jang, S., & Lee, G. (2024). BIM Library Transplant: Bridging Human Expertise and Artificial Intelligence for Customized Design Detailing. Journal of Computing in Civil Engineering. https://doi.org/10.1061/JCCEE5.CPENG-5680
• Jeon, K., Lee, G., Yang, S., Kim, Y., & Suh, S. (2024). "Dynamic building defect categorization through enhanced unsupervised text classification with domain-specific corpus embedding methods." Automation in Construction, 157, 105182. https://doi.org/10.1016/j.autcon.2023.105182
• Yong, G., Jeon, K., Gil, D., and Lee. G., (2023), "Prompt Engineering for Zero-Shot and Few-Shot Defect Detection and Classification Using a Visual-Language Pretrained Model". "Computer-Aided Civil and Infrastructure Engineering (CACIE) 38(11) 1536-1554. https://doi.org/10.1111/mice.12954
• Jeon, K., Lee, G.,Yang, S. and H. D. Jeong. (2022). "Named entity recognition of building construction defect information from text with linguistic noise." Automation in Construction 143: 104543. https://doi.org/10.1016/j.autcon.2022.104543
• Son, S., Lee, G., Jung, J., Kim, J., and Jeon, K. (2022). "Automated generation of a model view definition from an information delivery manual using idmXSD and buildingSMART data dictionary." Advanced Engineering Informatics 54: 101731. https://doi.org/10.1016/j.aei.2022.101731
• Jung, N., and Lee, G. (2019). "Automated classification of building information modeling (BIM) case studies by BIM use based on natural language processing (NLP) and unsupervised learning." Advanced Engineering Informatics, 41, 100917. https://doi.org/10.1016/j.aei.2019.04.007