Juwon Na

Senior Researcher / Ph.D.

Materials Data Management Center

Korea Institute of Materials Science (KIMS)

juwonna7@kims.re.kr

[Google Scholar] [Curriculum Vitae]

Education

Pohang University of Science and Technology (POSTECH), Pohang, South Korea
- Ph.D. in Mechanical Engineering under the direction of Prof. Seungchul Lee Mar. 2019 - Feb. 2023
Soongsil University, Seoul, South Korea
- B.S. in Mechanical Engineering Mar. 2012 - Feb. 2019

Research Interests

AI for Microstructure Image Analysis - Microscopy Image Restoration and Quantitative Microstructure Analysis
AI for Scientific Discovery - Symbolic Regression

Publications

AI Materials Scientist: Data-driven Discovery of Materials Science Formulas via Neural Symbolic Regression

Juwon Na, Se-Jong Kim, and Seungchul Lee

In preparation

Label-free Grain Segmentation for Optical Microscopy Images via Unsupervised Image-to-Image Translation

Juwon Na+, Jaejun Lee+, Seong-Hoon Kang, Se-Jong Kim*, and Seungchul Lee*

Materials Characterization (JCR rank in the top 8% in Materials Science, Characterization) 2023

[Paper] [Code]

A Unified Microstructure Segmentation Approach via Human-In-The-Loop Machine Learning

Juwon Na, Se-Jong Kim, Heekyu Kim, Seong-Hoon Kang, and Seungchul Lee*

Acta Materialia (JCR rank in the top 1% in Metallurgy & Metallurgical Engineering) 2023

[Paper] [Code]

Deep Feature Selection Framework for Quality Prediction in Injection Molding Process

Iljeok Kim, Juwon Na, Jong Pil Yun*, and Seungchul Lee*

IEEE Transactions on Industrial Informatics (JCR rank in the top 3% in Engineering, Industrial) 2023

[Paper]

Deep Learning-based Discriminative Refocusing of Scanning Electron Microscopy Images for Materials Science

Juwon Na, Gyuwon Kim, Seong-Hoon Kang, Se-Jong Kim*, and Seungchul Lee*

Acta Materialia (JCR rank in the top 1% in Metallurgy & Metallurgical Engineering) 2021

[Paper] [Code]

Super-resolving Material Microstructure Image via Deep Learning for Microstructure Characterization and Mechanical Behavior Analysis

Jaimyun Jung+, Juwon Na+, Hyung Keun Park, Jeong Min Park, Gyuwon Kim, Seungchul Lee*, and Hyoung Seop Kim*

npj Computational Materials (JCR rank in the top 10% in Materials Science, Multidisciplinary) 2021

[Paper]

Development of Artificial Neural Network System to Recommend Process Conditions of Injection Molding for Various Geometries

Chihun Lee, Juwon Na, Kyongho Park, Hyeonjae Yu, Jongsun Kim, Kwonil Choi, Dongyong Park, Seongjin Park, Junsuk Rho*, and Seungchul Lee*

Advanced Intelligent Systems 2020

[Paper]

Projects

Deep Learning-based Grain Boundary Detection from Optical Micrographs
- Collaboration with Korea Institute of Materials Science (KIMS) Dec. 2020 - May 2021
Deep Learning-based Real-time Detection of Creep Groan Noise in Automobile Braking Systems
- Collaboration with Hyundai Motor Company Aug. 2019 - Dec. 2020
Development of AI Injection Molding System: Machining Process Optimization and Control
- Collaboration with LS Mtron and Korea Institute of Industrial Technology (KITECH) Jan. 2019 - Dec. 2020

Talks

2023 Towards an AI Scientist: From Automated Microscopy Image Analysis to Scientific Discovery, Korea Institute of Materials Science (KIMS)

2022 Transformer Family: Introduction and Scientific Applications, Korea Institute of Nuclear Safety (KINS)

2019 AI Injection Molding System: Machining Process Optimization and Control, Korea Research Institute of Chemical Technology (KRICT)

Honors and Awards

2023 The Best Doctoral Thesis Award at the Reliability Division of the Korean Society of Mechanical Engineers (KSME) Conference 2023

2022 The Best Paper Award at the Korean Institute of Metals and Materials (KIM) Conference 2022

2021 The BK21+ Best Paper Award (2nd place) from the Department of Mechanical Engineering at Pohang University of Science and Technology (POSTECH)

2021 The Best Paper Award at the Korean Institute of Metals and Materials (KIM) Conference 2021

2020 The Best Paper Award at the Korean Society of Mechanical Engineers (KSME) Conference 2020