Kangwon Seo

Assistant Professor

University of Missouri Columbia

United States

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About

Kangwon Seo is an Assistant Professor at the University of Missouri Columbia, USA. His research encompasses various domains including healthcare analytics, functional data analysis, and experimental design. Recent publications highlight his work on topics such as patient care in intensive settings, electricity consumption patterns, and optimization models for operational efficiency in emergency departments.

Articles (11)

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2025

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2025

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2025

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2025

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2024

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (5)

Ronald McGarvey

Full Professor

IÉSEG School of Management

FRANCE

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Soundar Kumara

Pearce Chair Professor

Penn State

UNITED STATES

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Jung Hyup Kim

Associate Professor

University of Missouri

UNITED STATES

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Long Zhao

Assistant Professor

South Dakota Mines

UNITED STATES

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Cheng-Bang Chen

Assistant Professor

University of Miami

UNITED STATES

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Kangwon Seo

Research Interests

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About

Articles (11)

Exploring the relationship between severity of patient illness and in room primary care nursing time in a medical intensive care unit

Clustering electricity consumption patterns using functional data analysis

Performance-based active learning (PbAL) for imbalanced data with nonparametric logistic regression

Reliability: Probabilistic models and statistical methods

Power Plant Vibration Monitoring and Optimization Using Functional Design of Experiments

Optimal experimental designs for clustered read-out data of reliability tests via particle swarm optimization

Downsampling for Binary Classification with a Highly Imbalanced Dataset Using Active Learning

Prediction of Lithium-Ion Battery Capacity by Functional Principal Component Analysis of Monitoring Data

Simulation-based search for optimal designs of accelerated life tests through response surface methodology

An Optimization Model to Address Overcrowding in Emergency Departments Using Patient Transfer

Early failure detection of paper manufacturing machinery using nearest neighbor‐based feature extraction

Collaborators (5)

Ronald McGarvey

Soundar Kumara

Jung Hyup Kim

Long Zhao

Cheng-Bang Chen

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