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Ghang Lee

Professor

Yonsei University

South Korea

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Professors in South Korea Professors in Structural Engineering Structural Engineering professors in South Korea

About

Professor Ghang Lee is a faculty member at Yonsei University in South Korea. His research areas encompass hybrid large language models, graph neural networks in building information modeling (BIM), and the integration of artificial intelligence in architectural detailing. He has contributed to the field through various publications, focusing on topics such as defect management, functional requirements inference, and machine learning trends within the rail industry.

Articles (10)

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2024

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2024

Year:

2022

Collaborators (5)

Yije Kim

Assistant Professor

Honam University

SOUTH KOREA

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Jennifer Whyte

Professor of Project Management

University of Sydney

AUSTRALIA

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Kahyun Jeon

Assistant Professor

Illinois Institute of Technology

UNITED STATES

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Long Nguyen

Professor and Chair

Florida Gulf Coast University

UNITED STATES

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Sangyoon Chin

Professor

Sungkyunkwan University

SOUTH KOREA

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Ghang Lee

Research Interests

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Articles (10)

Understanding User Requirements in LLM-Augmented BIM Systems: A TAM-Based Evaluation of NADIA-S

Augmented BIM log-based real-time design change monitoring, selective rollback, and design patching

BIM-LogNet clustering for automated design and drawing productivity measurement

Automated conversion and semantic gap filling of material layer annotations from CAD drawings to semantically rich BIM objects

Hybrid large language model approach for prompt and sensitive defect management: A comparative analysis of hybrid, non-hybrid, and GraphRAG approaches

Semantic elaboration of low-LOD BIMs: Inferring functional requirements using graph neural networks

Using Digital Twins for Managing Change in Complex Projects

Automated detailing of exterior walls using NADIA: Natural-language-based architectural detailing through interaction with AI

BIM Library Transplant: Bridging Human Expertise and Artificial Intelligence for Customized Design Detailing

Trends, Topics, Leaders, Influential Studies, and Future Challenges of Machine Learning Studies in the Rail Industry

Collaborators (5)

Yije Kim

Jennifer Whyte

Kahyun Jeon

Long Nguyen

Sangyoon Chin

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