Yunsu Kim

Yunsu Kim

Ph.D. student, Changwon National University

I work on signal processing — underwater acoustics, sonar classification, machine fault diagnosis, and metocean forecasting — as well as agentic AI systems for analysis, decision-making, and research workflows. By combining domain knowledge from real-world signal processing problems with agentic AI, I aim to build AI systems that are both reliable and practically useful.

Selected publications

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A Multi-Scale and Horizon-Adaptive Transformer for Operational Metocean Forecasting in Korean Coastal Buoy Networks

Yunsu Kim, Chanjin Kwon, Hyun-Pyo Lee, Jongwon Seok
Ocean Engineering 2026
Time-Series Forecasting Transformer Metocean

The Tacotron-Based Signal Synthesis Method for Active Sonar

Yunsu Kim, Juho Kim, Jungpyo Hong, Jongwon Seok
Sensors 2022
Sonar Signal Synthesis Generative Modeling

Bearing Fault Detection Using Scalogram and Switchable Normalization-Based CNN (SN-CNN)

Dhiraj Neupane, Yunsu Kim, Jongwon Seok
IEEE Access 2021