Yoojeong Noh

Assitant Professor

Pusan National University

South Korea

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Yoojeong Noh is an Assistant Professor at Pusan National University in South Korea. Her research focuses on optimal design methodologies, digital twin models, and data-driven approaches, particularly in the context of sustainable engineering and energy systems. Recent work includes innovations in negative stiffness structures, HVAC system calibration, and lithium-ion battery degradation prediction.

Articles (20)

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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

Collaborators (3)

Cheolhyeon Kwon

Associate Professor

Korea Advanced Institute of Science and Technology

SOUTH KOREA

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Dae-Cheol Ko

Associate Professor

Pusan National University

SOUTH KOREA

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Kyung Chun Kim

Pusan National University

SOUTH KOREA

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Yoojeong Noh

Research Interests

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Articles (20)

Optimal design methodology for negative stiffness structures considering lifespan and additive manufacturing uncertainty

Digital twin model calibration of HVAC system using adaptive domain Nelder-Mead method

Large-area Inspection Method for Machined Micro Hole Dimension Measurement Using Deep Learning in Silicon Cathodes

Graph neural networks for anomaly detection and diagnosis in hydrogen extraction systems

Nominal state determination and its effect on remaining useful life prediction

An integrated grey-box model for accurate ship engine performance prediction under varying speed and environmental conditions

NOx emission reduction of coal‐fired power plants through data‐driven model and particle swarm optimization

Development of Customized Insole Design Framework Based on Digital Twin

A novel sampling method for adaptive gradient-enhanced Kriging

Accurate Prediction of Electrochemical Degradation Trajectory for Lithium‐Ion Battery Using Self‐Discharge

Bearing Fault Degradation Modeling Based on Multitime Windows Fusion Unsupervised Health Indicator

Ship collision avoidance route planning using CRI-based A* algorithm

Digital Twin Data-Driven Multi-Disciplinary and Multi-Objective Optimization Framework for Automatic Design of Negative Stiffness Honeycomb

A Study on Design Method of Blast Hardened Bulkhead Considering the Response of Shock Impulse

Development of Classification Model on SAC Refrigerant Charge Level Using Clustering-based Steady-state Identification

Approximation Model Development and Dynamic Characteristic Analysis Based on Spindle Position of Machining Center

Ship trajectory planning for collision avoidance using hybrid ARIMA-LSTM models

Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification

Transmission Power Control and Relay Strategy for Increasing Access Rate in Device to Device Communication

Fault Classification Model Based on Time Domain Feature Extraction of Vibration Data

Collaborators (3)

Cheolhyeon Kwon

Dae-Cheol Ko

Kyung Chun Kim

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