KITECH Manufacturing AI Research Center

The Manufacturing AI Research Center was newly established on January 1, 2024, as a direct organization under the Vice President of the Korea Institute of Industrial Technology. It aims to concentrate capabilities on developing an AI platform for the "AI-based innovation in manufacturing" initiative, promoting the rapid dissemination of the developed platform, and fostering in-house AI experts.

Contact Info
156, Gaetbeol-ro, Yeonsu-gu, Incheon, Republic of Korea

+82 (032) 850 2925

Related Sites

Journals

International Journal

  1. Sanga Lee*, Dohyeong Kim, Minkyun Noh, Shinkyu Jeong, Jikang Kong, Youngjun Yoo. "Propeller fault-detection method for electric-propulsion aircraft using motor signals and generative model-based semi-supervised learning", Engineering Applications of Artificial Intelligence, 2025 (accepted)
  2. Dongju Kim,Jong Pil Yun,Taehan Lee,Daewoong Jung,Hong-In Won*. "AI-driven multivariate time series forecasting of transmembrane pressure in ultrafiltration: A stationarity-aware approach", Journal of Water Process Engineering, 77:108539, 2025
  3. Yun-Il Choi*, Eun-Hye Hwang, Sanga Lee. "Electrochemical Estimation of Flow Velocity Using CNT/rGO-Filled Polyurethane Nanocomposites", Polymers and Polymer Composites, 2025 (online published)
  4. Sang-Hyun Rhie, Eric Coatanéa, Sanga Lee, Wonjong Jung, Jeongsu Lee*. "Resolving forward and inverse problems of rarefied gas heat transfer in an infrared detector cryochamber using physics-informed neural networks", Applied Thermal Engineering, 277:127104, 2025
  1. Inje Jang, Gihyun Bae, Dohyeong Kim, Geunho Kim, Sanga Lee*. "Prediction method of the deep drawing quality using Siamese deep neural network algorithm trained with time-dependent load curves", The International Journal of Advanced Manufacturing Technology, 135:5791-5807, 2024
  2. Keunoh Lim+, Kyungjae Lee+, Sanga Lee*, Kwanjung Yee*. "Development of agent-based mesh generator for flow analysis using deep reinforcement learning", Engineering with Computers, 40:4043-4065, 2024 (+ equally contributed)
  3. Sanga Lee, Sunghyun Kim, Chankyu Son*. "Airfoil inverse design using a deep neural net with an explainable attention mechanism", International Journal of Aeronautical and Space Sciences, 25:399–409, 2024
  4. Sang Heon Lee, Min Young Kim, Min Woo Woo, Han Chang Lee, Hong-In Won, Seung Hyun Jeong*. "Predicting the Heading Angle of Resin During Extrusion Using Semantic Segmentation Based on Edge-Region Focal Loss", IEEE Transactions on Instrumentation and Measurement, 73:5024015, 2024
  5. Minseon Gwak+, Jong Pil Yun+, Ji Yun Lee, Sang-Sun Han, PooGyeon Park*, Chena Lee*. "Attention‑guided jaw bone lesion diagnosis in panoramic radiography using minimal labeling effort", Scientific Reports, 14:4981, 2024 (+ equally contributed)
  6. Hyeyeon Choi, Jong Pil Yun, Bum Jun Kim, Hyeonah Jang, WooSang Shin, Sang Woo Kim*. "Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data", Journal of Industrial Information Integration, Vol.38, 100559, 2024
  7. Taehan Lee+, WooSang Shin+, Jong-Hyeon Lee, Sangmoon Lee, Han-Gyeol Yeom*, Jong Pil Yun*. "Resolving the Non-uniformity in the Feature Space of Age Estimation: A Deep Learning Model Based on Feature Clusters of Panoramic Images", Computerized Medical Imaging and Graphics, 102329, 2024 (+ equally contributed)
  8. Iljeok Kim, Juwon Na, Jong Pil Yun*, Seungchul Lee*. "Deep Feature Selection Framework for Quality Prediction in Injection Molding Process", IEEE Transactions on Industrial Informatics, Vol. 20(1), 503-512, 2024
  9. Sunwoong Yang, Sanga Lee, Kwanjung Yee*. "Inverse design optimization framework via a two‑step deep learning approach: application to a wind turbine airfoil", Engineering with Computers, 39:2239–2255, 2023
  10. Han‑Gyeol Yeom, Byung‑Do Lee, Wan Lee, Taehan Lee*, Jong Pil Yun*. "Estimating chronological age through learning local and global features of panoramic radiographs in the Korean population", Scientific Reports, 13:21857, 2023
  11. Minseon Gwak+, Min Su Kim+, Jong Pil Yun, PooGyeon Park*. "Robust and explainable fault diagnosis with power-perturbation-based decision boundary analysis of deep learning models", IEEE Transactions on Industrial Informatics, Vol.19 (5), 6982-6992, 2023 (+ equally contributed)
  12. Hyeyeon Choi+, Jong Pil Yun+, Ari Lee, Sang‑Sun Han, Sang Woo Kim*, Chena Lee*. "Deep learning synthesis of cone‑beam computed tomography from zero echo time magnetic resonance imaging", Scientific Reports, 123:6031, 2023 (+ equally contributed)
  13. Seung Hyun Jeong, Sang Heon Lee, Hong-In Won*. "Development of microcatheter tube extrusion angle estimation system using convolutional neural network segmentation", Scientific Reports, 13:18468, 2023
  14. Ji-Wook Kim, Hong-In Won, Dong-Yong Park, In-Jae Kim, Jin-Woo Lee, Kyung-Duk Kim, Yoojeong Noh, Jin-Seok Jang*. "Study on Stochastic and Autoregressive Time Series Forecasting for Hydrogen Refueling Station", IEEE Access, 2023
  1. Min Su Kim, Jong Pil Yun, PooGyeon Park*. "Deep Learning-based Explainable Fault Diagnosis Model with an Individually Grouped 1D Convolution for 3-axis Vibration Signals", IEEE Transactions on Industrial Informatics, Vol.18 (12), 8807-8817, 2022
  2. Hyeyeon Choi, Jong Pil Yun, Bum Jun Kim, Hyeonah Jang, Sang Woo Kim*. "Attention-based Multimodal Image Feature Fusion Module for Transmission Line Detection", IEEE Transactions on Industrial Informatics, Vol.18 (11), 7686-7695, 2022
  3. Seung Hyun Jeong, Min Woo Woo, Dong Sun Shin, Han Gyeol Yeom, Hun Jun Lim, Bong Chul Kim*, Jong Pil Yun*. "Three-dimensional postoperative results prediction for orthognathic surgery through deep learning-based alignment network", Journal of Personalized Medicine, Vol.12(6), 998, 2022
  4. Ji-Wook Kim, Dong-Yul Kim, Hong-In Won, Yoo-Jeong Noh, Dae-Cheol Ko, Jin-Seok Jang*. "Approximation Model Development and Dynamic Characteristic Analysis Based on Spindle Position of Machining Center", Materials, Vol.15(20), 7158, 2022
  5. Se-Kyung Park, Jun-Kyu Park, Hong-In Won, Seung-Hwan Choi, Chang-Hyun Kim, Suwoong Lee*, Min Young Kim*. "Three-Dimensional Foot Position Estimation Based on Footprint Shadow Image Processing and Deep Learning for Smart Trampoline Fitness System", Sensors (Basel), Vol.22(18), 6922, 2022
  6. Seung Hyun Jeong, Min Woo Woo, Gyogwon Koo, Jong-Hak Lee, Jong Pil Yun*. "Automatic brittle fracture ratio estimation using convolutional neural network regression based on classmap regulation", IEEE Access, Vol.9, 136552-136560, 2021
  7. Hae Gwang Park, Jong Pil Yun, Min Young Kim, Seung Hyun Jeong*. "Multi-channel Object Detection for Detecting Suspected Trees with Pine Wilt Disease Using Multispectral Drone Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.14, 8350-8358, 2021
  8. Byung Su Kim+, Han Gyeol Yeom+, Jong Hyun Lee, Woo Sang Shin, Jong Pil Yun, Seung Hyun Jeong, Jae Hyun Kang, See Woon Kim, Bong Chul Kim*. "Deep learning-based prediction of paresthesia after third molar extraction: a preliminary study", Diagnostics, Vol.11, 1572, 2021 (+ equally contributed)
  9. Ari Lee+, Min Su Kim+, Sang-Sun Han, PooGyeon Park, Chena Lee*, Jong Pil Yun*. "Deep learning neural networks to differentiate Stafne’s bone cavity from pathological radiolucent lesions of the mandible in heterogeneous panoramic radiography", PLoS ONE, Vol.16(7), e0254997, 2021 (+ equally contributed)
  10. Min Su Kim, Jong Pil Yun, PooGyeon Park*. "An explainable neural network for Fault Diagnosis with a frequency activation map", IEEE Access, Vol.9, 98962-98972, 2021
  11. Young Jung, Taehan Lee, Jiyoon Oh, Byung-Geon Park, Jong Soo Ko, Hyeok Kim, Jong Pil Yun*, Hanchul Cho*. "Linearly Sensitive Pressure Sensor Based on a Porous Multistacked Composite Structure with Controlled Mechanical and Electrical Properties", ACS Applied Materials & Interfaces, Vol.13(24), 28975-28984, 2021
  12. Seung Hyun Jeong+, Jong Pil Yun+, Han-Gyeol Yeom, Hwi Kang Kim, Bong Chul Kim*. "Deep-Learning-Based Detection of Cranio-Spinal Differences between Skeletal Classification Using Cephalometric Radiography", Diagnostics, Vol.11(4), 591, 2021 (+ equally contributed)
  13. WooSang Shin+, Han-Gyol Yeom+, Ga Hyung Lee, Jong Pil Yun, Seung Hyun Jeong, Jong Hyun Lee, Hwi Kang Kim, Bong Chul Kim*. "Deep learning based prediction of necessity for orthognathic surgery of skeletal malocclusion using cephalogram in Korean individuals", BMC Oral Health, Vol.21, 130, 2021 (+ equally contributed)
  14. Min Su Kim, Jong Pil Yun*, PooGyeon Park*. "An Explainable Convolutional Neural Network for Fault Diagnosis in Linear Motion Guide", IEEE Transactions on Industrial Informatics, Vol.17(6), 4036-4045, 2021
  15. Gyogwon Koo, Jong Pil Yun, Hyeyeon Choi, Sang Woo Kim*. "Unified deep neural networks for end-to-end recognition of multi-oriented billet identification number", Expert Systems with Applications, Vol.168, 114377, 2021
  16. Su-Jin Jeon+, Jong Pil Yun+, Han-Gyeol Yeom, Woo-Sang Shin, Jong-Hyun Lee, Seung-Hyun Jeong, Min-Seock Seo*. "Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs", Dentomaxillofacial Radiology, Vol.50(5), 20200513, 2021 (+ equally contributed)
  17. Jeong-Hun Yoo+, Han-Gyeol Yeom+, WooSang Shin, Jong Pil Yun, Jong-Hyun Lee, Seung-Hyun Jeong, Hun Jun Lim, Jun Lee, Bong Chul Kim*. "Deep learning based prediction of extraction difficulty for mandibular third molars", Scientific Reports, Vol.11, 1954, 2021 (+ equally contributed)
  1. Seung Hyun Jeong+, Jong Pil Yun+, Han-Gyeol Yeom, Hun Jun Lim, Jun Lee, Bong Chul Kim*. "Deep learning based discrimination of soft tissue profiles requiring orthognathic surgery by facial photographs", Scientific Reports, Vol.10, 16235, 2020 (+ equally contributed)
  2. Jong Pil Yun*, Woosang Crino Shin, Gyogwon Koo, Min Su Kim, Chungki Lee, Sang Jun Lee. "Automated defect inspection system for metal surfaces based on deep learning and data augmentation", Journal of Manufacturing Systems, Vol.55, 317-324, 2020
  3. Moon-Jo Kim, Jong Pil Yun, Ji-Ba-Reum Yang, Seung-Jun Choi, DongEung Kim*. "Prediction of the Temperature of Liquid Aluminum and the Dissolved Hydrogen Content in Liquid Aluminum with a Machine Learning Approach", Metals, Vol.10(3), 330, 2020
  4. Hong-In Won*, M. Ercan Altinsoy. "Effect of Auditory Feedback on Tactile Intensity Perception in a Touchscreen Application", IEEE Transactions on Haptics, Vol.13(2), 343-353, 2020
  5. Gyogwon Koo, Crino Shin, Hyeyeon Choi, Jong-Hak Lee, Sang Woo Kim*, Jong Pil Yun*. "Automated brittle fracture rate estimator for steel property evaluation using deep learning after drop-weight tear test", IEEE Access, Vol.7, 145095-145103, 2019
  6. Sang Jun Lee, Sang Woo Kim, Wookyong Kwon, Gyogwon Koo, Jong Pil Yun*. "Selective distillation of weakly annotated GTD for vision-based slab identification system", IEEE Access, Vol.7, 23177-23186, 2019
  7. Jong Pil Yun, Sang Jun Lee, Gyogwon Koo, Crino Shin, Chang Hyun Park*. "Automatic defect inspection system for steel products with exhaustive dynamic encoding algorithm for searches", Optical Engineering, Vol.58(2), 023107, 2019
  8. Gyogwon Koo, Jong Pil Yun, Sang Jun Lee, Hyeyeon Choi, Sang Woo Kim*. "End-to-end Billet Identification Number Recognition System", ISIJ International, Vol.59, 98-103, 2019
  9. Sang Jun Lee, Jong Pil Yun, Gyogwon Koo, Sang Woo Kim*. "End-to-end recognition of slab identification numbers using a deep convolutional neural network", Knowledge-Based Systems, Vol.132, 1-10, 2017

Domestic Journal

  1. 황재훈, 하승엽, 윤준석, 김민수, 이상아, 윤종필, 원홍인*. "Two-Bounce LiDAR와 디지털 트윈을 활용한 사각지대 객체 탐지용 데이터 생성 프레임워크", 한국컴퓨터정보학회논문지, Vol.30, No.6, 2025
  2. 변영훈, 윤준석, 이상아, 김민수, 원홍인, 윤종필*. "금속 SEM 이미지 시멘틱 분할을 위한 Multi-scale cross-attention 및 SegFormer 기반 모델 개발", 제어로봇시스템학회, Vol.31, No.5, 566-572, 2025
  3. 박주하, 최지호, 윤종필, 염한결, 이병도*, 이상준*. "파노라마 X-ray 영상에서의 상악동 영역 세그멘테이션을 위한 어텐션 기반의 U-Net 트랜스포머", 대한임베디드공학회논문지, Vol.20, No.2, 83-89, 2025
  4. 이예지, 신우상, 윤종필, 주문갑*. "준지도 학습 기반의 미세조직 이미지 분할", 대한임베디드공학회논문지, Vol.19, No.6, 307-312, 2024
  5. 김성현, 홍윤표, 이상아*. "어텐션 기반의 설명가능한 신경망을 사용한 충격파 예측", 한국전산유체공학회지, Vol.29, No.3, 109-122, 2024
  6. 박현빈, 홍윤표, 강유업, 이상아*. "익형의 충격파 예측을 위한 인공지능 모델 학습 및 XAI 적용", 한국전산유체공학회지, Vol.28, No.4, 16-26, 2023
  7. 이상아, 유회수*, 서강명. "합성곱 신경망을 이용한 단락이행의 용접 스패터 발생량 예측", 대한용접접합학회지, Vol.41, No.1, 9-16, 2023
  8. 강형민, 이상아*. "고속철도차량 개활지 주행 시 공기역학적 불확실성을 고려한 팬터그래프의 접촉력 안정성 분석", 한국전산유체공학회지, Vol.27, No.1, 89-94, 2022
  9. 강형민, 이상아*. "공기역학적 불확실성을 고려한 CX 팬터그래프의 접촉력 안정성 평가", 한국전산유체공학회지, Vol.27, No.1, 76-82, 2021
  10. 이준하, 원홍인, 김병학*. "다중 도메인 데이터 기반 구별적 모델 예측 트레커를 위한 동적 탐색 영역 특징 강화 기법", 대한임베디드공학회논문지, Vol.16, No.6, 323-330, 2021
  11. 원홍인*, 정승현, 장진석, 윤종필. "피드백 진동의 심층학습 기반 원단 분류 기술의 시험 및 평가", 대한임베디드공학회논문지, Vol.16, No.2, 43-49, 2021
  12. 윤종필*, 김민수, 구교권, 신우상. "전이 학습과 진동 신호를 이용한 설비 고장 진단 및 분석", 대한임베디드공학회논문지, Vol.14, No.6, 287-294, 2019