Smart Diagnosis and Design Optimization Laboratory

M.S. Alumni

Name	Chungeon Kim
Graduation Year	2019.02.
Graduate Thesis	A Study on Optimal Sensor Placement for Detecting Rupture in Pipeline System
Affiliation	Ph.D. in SDDO Lab., GIST

Name	Hyuntak Lee
Graduation Year	2019.02.
Graduate Thesis	A Study on Health Indicator for Machine-Independent Electric Motor Fault Diagnosis
Affiliation	LG Electronics R&D Center

Name	Youngjune Ban
Graduation Year	2020.02.
Graduate Thesis	A Study on Vibration Feature Selection for Fault Diagnostics of Rotating Machines
Affiliation	OnePredict

Name	Wonho Jung
Graduation Year	2020.08.
Graduate Thesis	A Study on Electric Motor Fault Diagnosis Using Time-Series Imaging and Unsupervised Feature Learning
Affiliation	KAIST

Name	Kukhee Lee
Graduation Year	2022.02
Graduate Thesis	A Study on Anomaly Detection Using Normalized Autoencoder for the Rotating Machines
Affiliation

Name	Yongseok Seo
Graduation Year	2022.02
Graduate Thesis	Tacholess Rotation Speed Estimation Using Speed Flunctuation Adaptive Multi Order Probabilitic Approach
Affiliation	LG Energy Solution

Name	Minseok Choi
Graduation Year	2022.08
Graduate Thesis	A Study on Machine- and Sensor Location- Independent Fault Diagnosis of Rotating Machines
Affiliation	Ph.D. in SDDO Lab., GIST

Name	Changsung Lee
Graduation Year	2023.02
Graduate Thesis	A Study on Health Indicator for Pump Degradation Diagnosis Using Autoencoder with Bayesian Neural Network
Affiliation	LG Energy Solution

Name	Hyebin Park
Graduation Year	2023.08
Graduate Thesis	Anomaly Detection for Residential HVAC System Using LSTM Autoencoder
Affiliation	Hyundai Elevator

Name	Donghwi Yoo
Graduation Year	2023.08
Graduate Thesis	Class Imbalanced Domain Adaptation for Rolling Element Bearing Fault Diagnosis
Affiliation	Korea Electronics Technology Institute(KETI)

Name	Hanbyeol Lee
Graduation Year	2024.01
Graduate Thesis	Accelerating Mode Conversion Simulation for Ultrasonic Wave Using Physics-informed Neural Networks
Affiliation	Hyundai Motor

Name	Minsu Jeon
Graduation Year	2024.02
Graduate Thesis	Improved Fault Detection in Ultrasonic Testing Using Self-supervised Learning
Affiliation