🏗️Hello I’m Kichang Choi
About Me
I am a Ph.D. student in the Smart Infrastructure Laboratory at Yonsei University, advised by Professor Hongjo Kim. My research focuses on applying artificial intelligence and deep learning to construction engineering challenges, with particular interests in:
- Retrieval Augmented Generation (RAG) in the construction domain
- Embedding models for construction knowledge representation
- Levee failure prediction using AI-based sensing platforms
- Concrete rheological property detection for 3D printing and quality control
Skills & Technologies
🐍 Python 🔥 PyTorch 🔍 RAG Systems 🔗 LangChain 🖥️ PyQt 🐳 Docker 🏗️ BIM 🦎 Axolotl 🦾 RobotStudio
Education
Ph.D. in Civil and Environmental Engineering (March 2023 - Present)
Yonsei University, Seoul, Korea
Advisor: Prof. Hongjo Kim
GPA: 4.09/4.5B.S. in Architectural Engineering (March 2013 - February 2019)
Dankook University, Yongin, Korea
GPA: 3.43/4.5
Publications
Choi, K., Jeong, M., Kim, T., Kim, S., Baek, S., & Kim, H. (2026). “RAMASC: A Retrieval-Augmented Multi-Agent Framework for Automated Structural Calculation”, Advanced Engineering Informatics. [DOI]
Choi, K., Jeong, M., Shin, Y., Ma, J., Kim, K., & Kim, H. (2025). “Retrieval Optimization for Construction Documents in Low-Resource Languages Using Contrastive Sentence Generation and Matryoshka Representation Learning”, Automation in Construction.
Idrees, S., Nugraha, J.A., Tahir, S., Choi, K., Choi, J., Ryu, D.H., Kim, J.H. (2024). “Automatic concrete slump prediction of concrete batching plant by deep learning”, DEVELOPMENTS IN THE BUILT ENVIRONMENT
Basha, S.I., Nugraha, J.A., Rehman, A.U., Choi, K., Park, S., Kim, J.H. (2024). “Structuration and yield strength characterization of hybrid alkali-activated cement composites (HACC) for ultra-rapid 3D construction printing”, CONSTRUCTION AND BUILDING MATERIALS
Rehman, A.U., Kang, M., Basha, S.I., Choi, K., Kim, J.H. (2024). “Knife Cut Test of Concrete: The Introduction of a New Test Method for Measurement of the Structural Build-Up of 3D Concrete Printing Materials”, RILEM BOOKSERIES
Rehman, A.U., Basha, S.I., Choi, K., Kang, M., Kim, J.H. (2024). “An Analysis of Penetrometer Test Methods for Structural Build-Up in Stiff and Accelerated 3D Concrete Printing Mixtures”, SPRINGER
Preprints
- Under Review — Choi, K., Shin, Y., Kim, Y., Osman, K., & Kim, H. (2026). “MANTA: Multivariate Attention Network for Short-Term Water-Level Forecasting”, SSRN. [SSRN] · [Live System]
Conference Presentations
Chern, W.C., Choi, K., Asari, V., Kim, H. “The 10th International Conference on Construction Engineering and Project Management”, ICCEPM, Sapporo, Japan (July 2024) - Oral Presentation
Choi, K., Baek, S., Kim, H. “2024 Regular Academic Conference”, Korea Institute of Construction Engineering and Management, Jeju, Korea (November 2024) - Oral Presentation
Choi, K., Baek, S., Ma, J., Kim, H. Efficient RAG(Retrieval-Augmented Generation) for Construction in Low-Resource Language, In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction - Oral Presentation
Projects
Autonomous Evolutionary AI-Based Smart Sensing Platform for Early Detection and Proactive Response to Levee Failures (MANTA) (August 2024 - Present) Project Manager Developing AI-driven systems for monitoring and early warning of potential levee failures Live System Running - View nationwide real-time water level predictions
Construct-Rag: Contrastive Sentence Training & Retrieval Using Chunk Block-Based Text for Rag (2024)
Project Manager
Data generation and Embedding model fine-tuningEugene Concrete Slump Prediction Framework Development (March 2023 - Present)
Software and Deep Learning Model Developer
Creating predictive models for concrete properties to improve quality control in batching plantsABB Robot-Based Automated Vane Testing System for Material Rheology (2023)
Robot Programming Specialist
Developed control systems for an ABB robotic arm equipped with cameras and depth sensors to perform automated vane testing for precise measurement of construction material properties
