Sang Min Lee

Sang Min Lee

he/him

Ph.D. Candidate in AI at Seoul National University. Research Interests: AI for Resilient Infrastructure and Wind Engineering.

Publications

You can also find my articles on my Google Scholar profile.

My research spans machine learning applications to structural engineering, wind engineering, and infrastructure monitoring. I have published 28 papers including journal articles, conference proceedings, and theses. Publications are organized by category below. Click on any publication for more details.

Journal Articles

Multi-Class Deep Support Vector Data Description for Structural Health Monitoring

Published in ASCE Journal of Structural Engineering, 2025

This study introduces a novel, real-time defect detection approach for structural health monitoring using multiclass Deep Support Vector Data Description (SVDD).

Recommended citation: Lee, S. M., et al. (2025). Multi-Class Deep Support Vector Data Description for Structural Health Monitoring. ASCE Journal of Structural Engineering.
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Lightweight Alternative Machine Learning Model for Automating Concrete Crack Image Classification

Published in ACI Structural Journal, 2025

This study addresses the challenge of automating concrete crack image classification by developing a lightweight machine learning model that balances accuracy with computational efficiency.

Recommended citation: Lee, S. M., et al. (2025). Lightweight Alternative Machine Learning Model for Automating Concrete Crack Image Classification. ACI Structural Journal.
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Boolean Rings and Their Generalization

Published in Korea Society of Mathematical Education Newsletter, 2015

Boolean rings and their generalization

Recommended citation: Lee, S. M. (2015). Boolean Rings and Their Generalization. Korea Society of Mathematical Education Newsletter.
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Conference Papers

Retrieval Augmented Generation for Assistance of Using Wind Load Design Codes

Published in The 10th Asia-Pacific Conference on Wind Engineering (APCWE10) Proceedings, 2025

This paper presents a retrieval augmented generation (RAG) system for assisting engineers in using wind load design codes.

Recommended citation: Lee, S. M., et al. (2025). Retrieval Augmented Generation for Assistance of Using Wind Load Design Codes. The 10th Asia-Pacific Conference on Wind Engineering (APCWE10) Proceedings.
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Multi-Class Deep SVDD-Based Monitoring of Concrete Buildings

Published in Korea Concrete Institute Annual Conference Proceedings, 2024

Multi-Class Deep SVDD-based monitoring of concrete buildings

Recommended citation: Lee, S. M., et al. (2024). Multi-Class Deep SVDD-Based Monitoring of Concrete Buildings. Korea Concrete Institute Annual Conference Proceedings.
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Mixture-of-Experts Architecture-Based Large Language Model Framework Specialized for Building Structural Design Codes

Published in Korea Concrete Institute Annual Conference Proceedings, 2024

Mixture-of-Experts architecture-based large language model framework specialized for building structural design codes

Recommended citation: Lee, S. M., et al. (2024). Mixture-of-Experts Architecture-Based Large Language Model Framework Specialized for Building Structural Design Codes. Korea Concrete Institute Annual Conference Proceedings.
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Multi-Sphere deep SVDD for system identification of building structure

Published in The 2024 World Congress on Advances in Civil, Environmental, and Materials Research Proceedings, 2024

Multi-Sphere deep SVDD for system identification of building structure

Recommended citation: Lee, S. M., et al. (2024). Multi-Sphere deep SVDD for system identification of building structure. The 2024 World Congress on Advances in Civil, Environmental, and Materials Research Proceedings.
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Clustering wind pressure tap using dynamic time warping

Published in 8th European-African Conference on Wind Engineering (EACWE2022) Proceedings, 2022

Clustering wind pressure tap using dynamic time warping

Recommended citation: Lee, S. M., et al. (2022). Clustering wind pressure tap using dynamic time warping. 8th European-African Conference on Wind Engineering (EACWE2022) Proceedings.
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Long Short-Term Memory Recurrent Neural Network-Based Wind Pressure Coefficient Prediction for Concrete Building Facades

Published in Korea Concrete Institute Annual Conference Proceedings, 2021

Long Short-Term Memory recurrent neural network-based wind pressure coefficient prediction for concrete building facades

Recommended citation: Lee, S. M., et al. (2021). Long Short-Term Memory Recurrent Neural Network-Based Wind Pressure Coefficient Prediction for Concrete Building Facades. Korea Concrete Institute Annual Conference Proceedings.
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Prediction of wind pressure coefficients on high-rise building facade using LSTM RNN model for sensor reduction

Published in The 2021 World Congress on Advances in Structural Engineering and Mechanics Proceedings, 2021

Prediction of wind pressure coefficients on high-rise building facade using LSTM RNN model for sensor reduction

Recommended citation: Lee, S. M., et al. (2021). Prediction of wind pressure coefficients on high-rise building facade using LSTM RNN model for sensor reduction. The 2021 World Congress on Advances in Structural Engineering and Mechanics Proceedings.
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Generalization of Integral Domains

Published in Korea Society of Mathematical Education Conference Proceedings, 2014

Generalization of integral domains

Recommended citation: Lee, S. M. (2014). Generalization of Integral Domains. Korea Society of Mathematical Education Conference Proceedings.
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