DISSERTATION

(Note: Please click the title of the interesting article.)

Ph.D.

• Seongbin Ryu (2026). Artificial neural networks-aided finite element model updating (working title). Doctoral Thesis. Korea University

• Whi Seok Han (2026). Analysis and design of high-voltage transmission towers (working title). Doctoral Thesis. Korea University

• Kiwon Jeong (2026). Analysis and design suggestion of submerged floating tunnels (working title). Doctoral Thesis. Korea University

• Jihun Song (2026). Hydrodynamics-based simulation of large-scale multiconnected floating structures in ocean environments (working title). Doctoral Thesis. Korea University.

• Seongi Min (2025). Deep learning-based pattern analysis and its application to structural monitoring for submerged floating tunnels. Doctoral Thesis. Korea University.

M.S.

• Sangkyung Lee (2026). Analysis of fixed support structures of offshore wind turbines under wind, wave, and seismic (working title). Master's Thesis. Korea University.

• Hyunwoo Shin (2025). Simplified hydrodynamic analysis of floating bridges. Master's Thesis. Korea University.

• Jongyun Moon (2025). Analytical study of residual stress characteristics of welded rails. Master's Thesis. Korea University.

• Chang-Hyun Hwang (2023). Study on physic engine-based overturning simulation of bridge superstructures under construction. Master's Thesis. Korea University.

• Joonseob Kim (2023). Multi-damage diagnosis of a cable-stayed bridge through deep learning with measurement data. Master's Thesis. Korea University.

• Junhee Han (2023). To extend the life-cycle of rail-type expansion joints research on maintenance. Master's Thesis. Korea University.

• Jinyoung Park (2022). A study on the prediction of steel quantities of steel structures based on a deep learning algorithm. Master's Thesis. Korea University.

• Seongi Min (2020). Pattern analysis of structural responses of cable supported bridges based on deep learning algorithm. Master's Thesis. Daejeon University.