Minjoo Choi

Assistant Professor

Korea Maritime and Ocean University

South Korea

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About

Minjoo Choi is an Assistant Professor at Korea Maritime and Ocean University in South Korea. His research focuses on ship design and optimization, including damage stability scenario generation, production scheduling for additive manufacturing, and modular production techniques. Additionally, he explores innovative applications of machine learning in maritime engineering, such as fault detection in wind turbine systems and clustering algorithms utilizing AIS data.

Articles (11)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2021

Collaborators (2)

Seongpil Cho

Assistant Professor

Korea Aerospace University

SOUTH KOREA

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Soonjo Kwon

Assistant Professor

Kumoh National Institute of Technology

SOUTH KOREA

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Minjoo Choi

Research Interests

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About

Articles (11)

A framework for developing data structure to support efficient damage stability scenario generation for ships with complex compartment geometries

A Mixed Integer Linear Programming Model for Rapid Rescheduling in Ship and Offshore Unit Design Projects

Modular production of small ship models using 3D printing for model tests

Modular Ship Design

Optimization of Production Scheduling for the Additive Manufacturing of Ship Models Using a Hybrid Method

PolarGAN: Creating realistic Arctic sea ice concentration images with user-defined geometric preferences

A Bayesian Optimization Algorithm for the Optimization of Mooring System Design Using Time-Domain Analysis

A K-Means Clustering Algorithm to Determine Representative Operational Profiles of a Ship Using AIS Data

Fault Classification of a Blade Pitch System in a Floating Wind Turbine Based on a Recurrent Neural Network

Fault detection and diagnosis of a blade pitch system in a floating wind turbine based on Kalman filters and artificial neural networks

A hybrid method for the determination of the minimum number of transport vehicles in a shipyard

Collaborators (2)

Seongpil Cho

Soonjo Kwon

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