About Me

My name is Sang Min Lee. I'm a graduate student at Seoul National University.
My current research encompasses applications of artificial intelligence to the structural engineering.

1. Non-destructive testing and evaluation of concrete structures
   
2. Structural health monitoring for resilient infrastructures
   
3. Wind and seismic engineering
   

Education

2023.03. - 2027.02. Ph.D. in Interdisciplinary Program in Artificial Intelligence, Seoul National University
2021.02. - 2023.02. M.S. in Architecture and Architectural Engineering, Seoul National University
2016.03. - 2021.02. B.S. in Electrical and Computer Engineering (Double Major), Seoul National University
2016.03. - 2021.02. B.S. in Architecture and Architectural Engineering, Seoul National University
2013.03. - 2016.02. Korea Science Academy of KAIST

Experiences

[1] 2022 Fall Semester - Head Teaching Assistant in 'Introduction to IoT, AI, and Big Data'
[2] 2022 Spring Semester - Teaching Assistant in 'Introduction to IoT, AI, and Big Data', 'Creative Engineering Design', 'IoT and Creative Engineering Design', 'Architecture and AI', and 'Structural Experiment and Material'
[3] 2021 Fall Semester - Teaching Assistant in 'Mechanics of Materials for Architectural Engineering', 'Prestressed Concrete', 'Creative Engineering Design', 'IoT and Creative Engineering Design', and 'Introduction to IoT, AI, and Big Data'
[4] 2021 Spring Semester - Teaching Assistant in 'Introduction to IoT, AI, and Big Data' and 'Computation in Architectural Engineering'

Honors and Awards

[1] 2022 SNU College of Engineering Best Teaching Assistant Award
[2] 2022 Korea Concrete Institute Conference Outstanding Paper Award
[3] 2021 SNU DAAE Scholarship funded by SEN Engineering Group

Publications

International Journal Papers

[1] Lee, S. M. (Year) 'Title,' Journal Name, (in progress).

Domestic Journal Papers

[1] Lee, S. M., Sung, H. S., and Kang, T. H.-K. (2022) 'Comparison of performance for predicting compressive strength of concrete using machine learning,' Journal of the Korea Concrete Institute, Vol. 34, No. 5, pp. 505-513.

International Conference Proceedings

[1] Lee, S. M. and Kang, T. H.-K. (2022), 'Clustering wind pressure tap using dynamic time warping,' 8th European-African Conference on Wind Engineering Proceedings. 20-23 September 2022, Bucharest, Romania.
[2] Lee, S. M. and Kang, T. H.-K. (2022), 'Shear strength prediction of prestressed concrete based on machine learning,' The 2022 Structures Congress Proceedings. 16-19 August 2022, Seoul, Korea.
[3] Lee, S. M. and Kang, T. H.-K. (2021), 'Prediction of wind pressure coefficient on high-rise building façade using LSTM RNN model for sensor reduction,' The 2021 World Congress on Advances in Structural Engineering and Mechanics Proceedings. 24-26 August 2021, Seoul, Korea.

Domestic Conference Proceedings

[1] Lee, S. M., Sung, H. S., and Kang, T. H.-K. (2022) 'Prediction of concrete compressive strength using machine learning,' Korea Concrete Institute Conference Proceedings, Vol. 34, No. 1, pp. 179-180. 11-13 May 2022, Jeju, Korea.
[2] Lee, S. M. and Kang, T. H.-K. (2021) 'Prediction of wind pressure coefficient for concrete building wall using LSTM RNN,' Korea Concrete Institute Conference Proceedings, Vol. 33, No. 2, pp. 155-156. 3-5 November, Gyeongju, Korea.
[3] Lee, S. M. and Kang, T. H.-K. (2021) 'Prediction of wind pressure coefficients of concrete building walls using LSTM network,' Korea Concrete Institute Conference Proceedings, Vol. 33, No. 1, pp. 189-190. 12-14 May, Yeosu, Korea.

Patents

[1] Lee, S. M. and Kang, T. H.-K. (2022) 'Wind load estimation system based on artificial intelligence', Korea Patent, 10-2022-0060319
[2] Lee, S. M. and Kang, T. H.-K. (2021) 'Defect detection system inside concrete members using bi-directional LSTM', Korea Patent, 10-2021-0130192