Dr. Suhyung Jang is a postdoctoral researcher at the Georg Nemetschek Institute (GNI), Technical University of Munich (TUM). He earned his direct-track Ph.D. in Architectural Engineering from Yonsei University, Republic of Korea (2021–2025), under the supervision of Prof. Ghang Lee, with the dissertation “Artificial Intelligence Augmented Building Information Modeling for Design Detailing Automation.” He also holds a Bachelor of Architecture (B.Arch) from Korea University (2013–2021).
At TUM GNI, his research develops computational representations that enable AI to understand architects' and engineers’ design intent and BIM models across geometry, topology, and semantics. He builds generative and agentic AI methods for human-in-the-loop design decision-making, accelerating BIM authoring and detailing.
Jang, S., Roh, H., & Lee, G. (2025). Generative AI in architectural design: Application, data, and evaluation methods. Automation in Construction, 174, 106174. https://doi.org/10.1016/j.autcon.2025.106174
Jang, S., Lee, G., Park, M., Lee, J., Suh, S., & Koo, B. (2025). Semantic elaboration of Low-LOD BIMs: Inferring functional requirements using graph neural networks. Advanced Engineering Informatics, 64, 103100. doi.org/10.1016/j.aei.2024.103100
Jang, S., Lee, S., Lee, H., Roh, H. & Lee, G. (2025). A Method to Quantify the Information Flow during BIM-enabled Design Detailing. Korean Journal of Construction Engineering and Management, 26(1), 12-21, https://doi.org/10.6106/KJCEM.2025.26.1.012
Jang, S., Lee, G., Oh, J., Lee, J., & Koo, B. (2024) Automated detailing of exterior walls using NADIA: Natural-language-based architectural detailing through interaction with AI, Advanced Engineering Informatics, 61, 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, 38(2), 04024004. https://doi.org/10.1061/JCCEE5.CPENG-5680
Jang, S., Lee, G., Shin, S., & Roh, H. (2023). Lexicon-based content analysis of BIM logs for diverse BIM log mining use cases. Advanced Engineering Informatics, 57, 102079. https://doi.org/10.1016/j.aei.2023.102079