RESEARCHERS

Ph.D. Students

MS Students

 Start Name

1.   2018.2 Ms. Hye-ryeong Lee 이혜령

Ph.D.

1.   2024.08, Iljeok Kim (김일적), SK Hynix

  "Leveraging Physics Knowledge in Deep Learning for Manufacturing Systems"

2.   2024.08, Hyunsuk Huh (허현석), SK Hynix

  "Manufacturing Process Monitoring Methods using Deep Learning: from Prediction to Diagnosis"

3.   2024.08, Iljoo Jeong (정일주), Korea Electronics Technology Institute (KETI)

  "Knowledge-guided Deep Learning Approaches for Acoustic Environment Measurement"

4.   2024.02, Taewan Kim (김태완), Korea Electrotechnology Research Institute (KERI),

  "Industrial Artificial Intelligence from Data Analytics to Simulation"

5.   2023.05, Sooyoung Lee (이수영), SK Hynix → Assistant Professor at Chung-Ang University,

  "Towards Deep Learning-enabled Engineering for Expedited Understanding and Mitigation of Physical Phenomena"

6.   2022.12, Juwon Na (나주원), Korea Institute of Materials Science (KIMS),

"Deep Learning for Microscopy Image Analysis in Materials Science: Restoration and Recognition"

7.   2022.06, Sung Wook Kim (김승욱), Samsung Electronics → Korea Institute of Industrial Technology (KITECH),

"Battery Health Management Through Physics-Informed Neural Networks: Thermal Runaway Modeling and Capacity Estimation"

MS

1.   2024.01, Jaejung Park (박재정), Ph.D. student at iAI lab, KAIST,

  "Machine Learning-based Surrogate Modeling to Expedite the Exploration of the Extensive Chemical Space of MXenes"

2.   2024.01, Jaejun Lee (이재준), Ph.D. student at at the University of Illinois Urbana-Champaign, USA,

  "Surrogate Models for Predicting Elastic Moduli of Metal-Organic Frameworks via Multiscale Features"

3.   2024.01, Hyeongsik Park (박형식), LG Energy Solution,

  "Deep Learning-based Vibration Signal Generation with Frequency-Amplitude Variability"

4.   2023.06, Jihun Lee (이지훈), Samsung Electronics,

"Generative Neural Networks in Industrial Applications: Acoustic Metaporous Materials Design and Virtual Vibration Signal Synthesis"

5.   2023.06, Seungmin Shin (신승민), LG Electronics,

"Training Strategy for Physics-informed Neural Networks with a Focus on Fluid Dynamics"

6.   2023.06, Heekyu Kim (김희규), Ph.D. student at the Multiscale Mechanics & Modeling lab, KAIST,

"Active Learning Platform for Accelerating the Search of High-Voltage Cathode Materials in an Extensive Chemical Space"

7.   2022.12, Yongtae Kim (김용태), POSCO,

"End Point Oxygen and Temperature Prediction based on Feature Clustering in Basic Oxygen Furnace Steelmaking"

8.   2022.12, Dogyeom Park (박도겸), Co-founder of Amber Road,

"Lightweight Convolutional Neural Network for Real-time Fault Diagnosis on Edge Device"

9.   2022.07, Jeongsan Kim (김정산), Samsung Electronics,

 "Attention-based Explainable Feature Extraction Model for Anomaly Detection in Gearbox"

10.   2022.02, Eonho Im (임언호), POSCO and co-founder of Amber Road,

"Robust Machine Learning Method for Surface Crack Prediction of Continuous Casting Steel"

11.   2022.02, Gyuwon Kim (김규원), Mando as an alternative military service, 

"Deep Learning Methods to Enhance the Temporal Resolution in Functional Biomedical Imaging"

12.   2021.07, Changyun Choi (최창윤), Minds and Company as an alternative military service, 

"Directed Graph Based Refinement of 3D Human Motion Data using Spatial-Temporal Information"

13.   2021.07, Jonghwan Lee (이종환),  Ph.D. student at the University of Bristol, UK,

"Deep Learning-based Analysis on Physical Factors of Bar Warping in Rolling Process"

14.   2021.02, Yunseob Hwang (황윤섭), Deep Bio,

"Convolutional Neural Network based Small Bowel Lesion Detection in Capsule Endoscopy"

15.   2021.02, Namjeong Lee (이남정), SK On, 

"Fault Diagnostics for Rotating Machinery using Deep Learning: Ensemble Model of Frequency Spectrum, Spectrogram, and Orbit"

16.   2021.02, Kangsan Lee (이강산), Minds and Company as an alternative military service, 

"Deep Learning-based Object Tracking in Soccer Data"

17.   2017.12,  Heechang Kim (김희창), Freelancer, 

"Mechanical Properties Assessment and Reliability Verification for FDM 3D Printed Products"

18.   2017.12, Suhyun Kim (김수현), Hanwha Techwin, 

"Deep Learning Applications in Manufacturing: Human Motion Recognition and Sound-based Fault Detection"

19.   2016.12,  Sunhee Woo (우선희), LG Electronics, 

"Machine Learning Toolbox and PCA Visualization for Data-Driven PHM"

20.   2016.02, Hyungcheol Min (민형철), Hyundai Heavy Industries,  

"Statistical Approaches for Fault Diagnostics and Root Cause Analysis with Industrial Applications: MLCC and Rotating Machinery"

Postdoc

1.   2018.09 ~ 2020.08, Dr. Bayu Adhi Tama, Research Scientist at the University of Maryland, Baltimore County. 

포항공과대학교 진현규, 장진아, 김철홍, 김형섭, 이동화, 최민석 교수

한양대학교 오기용 교수

University of Wisconsin-Madison Prof. Sangkee Min

카이스트 기계공학과 심기동 교수, 최정우 교수

경희대학교 임재혁 교수, 김진균 교수

연세대학교 민경민 교수

중앙대학교 박해선 교수

포스코홀딩스 미래기술연구원 AI연구소 최호, 예인수, 홍지숙 박사

한국기계연구원 (KIMM) 서윤호, 선경호, 김창현 박사

한국표준과학연구원 (KRISS) 장지호, 조완호, 박춘수 박사

한국전력연구원 (KEPCO) 최우성, 손석만 박사

한국생산기술연구원 (KITECH) 윤종필 박사

재료연구원 (KIMM) 김세종, 정재면, 신다슬 박사

한국로봇융합연구원 (KIRO) 정현준 박사

부천성모병원 임선, 김현범 교수

서울성모병원 소화기내과 이한희, 오창교, 최영훈, 이보인 교수

서울성모병원 이비인후과 김도현, 김성원 교수

서울성모병원 산부인과 최윤진 교수