Papers
5
Total Citations
93
H-Index
4
About
Su-gil Cho is a mechanical and ocean engineering researcher whose work bridges deep-sea robotics, reliability-based design optimization, and autonomous marine systems. He is perhaps best known for his pioneering contributions to manganese nodule mining technology, where his 2019 study on reliability-based design optimization of a pick-up device for a pilot mining robot — leveraging the Coandă effect — has garnered over 51 citations, establishing him as a key voice in subsea resource extraction engineering. Building on this, his 2021 work advanced statistical methodologies for handling interval multiply censored data within probabilistic design frameworks, further refining robust engineering approaches for deep-sea applications. More recently, Cho has turned his expertise toward autonomous hull-cleaning robotics, addressing the critical environmental and economic challenge of biofouling on ships. His research has tackled the notoriously difficult problem of cleaning niche areas such as bow thrusters and sea chests, producing a series of studies from preliminary system design through to hydraulic manipulator development and high-pressure water-jet performance evaluation. With nearly 90 cumulative citations across five years of diverse yet interconnected work, Cho represents a compelling example of applied engineering research with real-world maritime and environmental significance.
Research Focus
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Top Papers
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