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Younghoon Kim

Younghoon Kim

Kyung Hee University · Industrial Engineering

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Professor

Prof. 김영훈

Professor's page · publications

About

김영훈 교수 연구실(AI & Management Science Lab)은 경희대 산업공학과 소속으로, 데이터 기반 인공지능 방법론을 개발해 경영과학 문제 해결에 적용한다. 설명가능 AI와 강건한 딥러닝, 머신러닝 기반 제조 공정 분석, 헬스케어·생화학 데이터 분석, 최적화 기반 머신러닝 알고리즘 등을 신뢰성 있고 실용적으로 다룬다.

Research keywords

AI agentsmachine learning and operations researchdigital twin systemsand trustworthy/applied AI for anomaly detection and healthcare analytics

Selected publications

  • Optimal Sensor Placement for Heat Transfer Digital Twin with Denoising Autoencoder and Discrete OptimizationAdvanced Engineering Informatics · 2025
  • Fused LassoNet: Sequential feature selection for spectral data with neural networksChemometrics and Intelligent Laboratory Systems · 2025
  • Multivariate Lithium-ion Battery State Prediction with Channel-Independent Informer and Particle Filter for Battery Digital TwinComputer Modeling in Engineering & Sciences · 2025
  • Combining Residual Network and Bidirectional Long Short-Term Memory with Additive Attention for Wafer Defect ClassificationInternational Journal of Advanced Manufacturing Technology · 2025
  • Data-Driven Component-Level Decision-Making for Online Remanufacturing of Gas-Insulated SwitchgearComputer Modeling in Engineering & Sciences · 2025
  • Multimodal human action recognition for rehabilitation exercise of upper body for individuals with cerebral palsyIEEE Transactions on Systems, Man, and Cybernetics: Systems · 2024

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