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Industrial AI Lab #

Research Applications #

  • [http]Production AI
    • Scheduling and dispatching for semicon FAB
    • Bottleneck detection and resolution
    • Optimal inventory operation in AS/RS
  • [http]Manufacturing AI
    • Quality control and defect detection
    • Fault detection and classification (FDC)
    • Prognostics and health management (PHM)
  • [http]Human-Centered AI
    • Human-AI Interfaces (HAI) with LLM and SLM
    • Brain-Computer Interaction (BCI) via EEG brain signals
    • Brain-AI Interfaces (BAI) via EEG-LLM models
  • Generative AI and Foundation Model
    • RAG and fine-tuning based Digital Intelligent Assistant (DIA)
    • Text-to-SQL for Table-Augmented Generation (TAG)
    • Foundation model for manufacturing

Research Methods #

Ongoing Research Projects #

Industrial Cooperation Projects #

  • AI-based Dispatching and Scheduling System for Semiconductor Feb, 2026.2~2026.12, SK Hynix.
  • Manufacturing-specific Small Language Models (SLM) for Equipment and Process Control, 2025.3~2026.2, Hanwha Momentum.

Government-Supported Research Projects #

  • Development of a Brain-AI Interface and EEG-Language Model for Nonverbal Intention Recognition, 2025.9.1~2030.8.31 , NRF/MOE.
  • On-Device AI Quality Inspection Technology Based on Generative AI Using Small-Scale Data, 2024.6.1~2027.2.28, KEIT/MOTIE.

Government-Supported Training Programs #

  • AI Convergence Innovation Human Resources Development, 2022.9~2026.2, IITP/MSIT.
  • AI-Robot Collaboration Human Resources Development, 2021.3~2026.2, KIAT/MOTIE.

Selected Papers #

Production AI #

  • "Predicting Transfer Times across Production Lines Using Data Pooling", Journal of Manufacturing Systems, Vol. 84, Feb. 2026, pp. 629-645. (SCIE, IF=14.2, 0.5%(1/106), OR/MS) (Ack: SS, Qual) [https]doi [https]pdf
  • "Imitation learning of job dispatching data combining classification and ranking", Computers & Industrial Engineering, Vol. 207, Sep. 2025, 111305. (SCIE, IF=6.5, 14%, CS/IA) [https]doi [https]pdf
  • "Multi-objective Scheduling Using Deep Reinforcement Learning, JIM, under revision.

Manufacturing AI #

  • "Rule-based Visualization of Faulty Process Conditions in the Die-casting Manufacturing", Journal of Intelligent Manufacturing, vol. 35, no. 2, Feb 2024, pp. 521-537. (SCIE, IF=8.3, 15%, CS/AI) (Ack: Engy, OCC). [https]doi [https]pdf [https]pdf
  • "Rule-based Explanations Based on Ensemble Machine Learning for Detecting Sink Mark Defects in the Injection Moulding Process", Journal of Manufacturing Systems, Vol. 60, Jul. 2021, pp. 392-405 (SCIE, IF=8.633, 0.6%(1/84), OR/MS). [https]link
  • "Imbalanced Classification of Manufacturing Quality Conditions Using Cost-Sensitive Decision Tree Ensembles",International Journal of Computer Integrated Manufacturing, Vol. 31, No. 8, Aug 2018, pp. 701-717. (SCIE, IF=2.090, 38%, OR/MS) [http]link [http]pdf

Smart Energy #

  • "Multi-step day-ahead photovoltaic power forecasting using transformer networks with pretrained recurrent neural networks", Renewable and Sustainable Energy Reviews, vol. 200, Aug 2024, 114479. (SCIE, IF=16.3, 3%(3/91), GSST) (Ack: Engy, AIC). [https]doi [https]pdf (FWCI=5.35)
  • "Convolutional Autoencoder-based SOH Estimation of Lithium-ion Batteries Using Electrochemical Impedance Spectroscopy", Journal of Energy Storage, Vol. 60, Apr. 2023, 106680. (SCIE, IF=8.907, 19%, E&F) (Ack: Engy, AIC). [https]link [https]pdf (FWCI=8.77)
  • "PVHybNet: A Hybrid Framework for Predicting Photovoltaic Power Generation Using Both Weather Forecast and Observation Data", IET Renewable Power Generation, Vol. 14, No. 12, Sep. 2020, pp. 2192-2201. (SCIE, IF=3.894, 21%, EEE) [https]link [https]pdf

Human-Centered AI #

  • "Perturbation-based Influence Estimation for Example-based Explanation of Convolutional Neural Networks in EEG-based BCI", TSMC, to be submitted.
  • "Spatio-temporal explanation of 3D-EEGNet for motor imagery EEG classification using permutation and saliency", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, Nov 2023, pp. 4504-4513. (SCIE, IF=4.9, 5%, Reh) (Ack: EEG, AIC). [https]link [https]pdf

eXplainable AI (XAI) #

  • "RuleCOSI+: Rule Extraction for Interpreting Classification Tree Ensembles", Information Fusion, Vol. 89, Jan. 2023, 355-381. (SCIE, IF=17.564, 0.5%(1/109), CS/T&M) (Ack: Engy, OCC). [https]link [https]pdf [https]pdf
  • "RuleCOSI: Combination and Simplification of Production Rules from Boosted Decision Trees for Imbalanced Classification", Expert Systems with Applications, Vol. 126, Jul 2019, pp. 64-82. (SCIE, IF=4.292, 8%, OR/MS) [https]link [https]pdf

Process Mining #

  • "InfoFlow: Mining Information Flow Based on User Community in Social Networking Services", IEEE Access, Vo. 7, Apr 2019, pp. 48024-48036. (SCIE, IF=4.098, 14%, CS/IS) [https]link [https]pdf
  • "FlowWiki: A Wiki Based Platform for Ad-hoc Collaborative Workflows", Knowledge-Based Systems, Vol. 24, No. 1, Feb 2011, pp. 154-165. [http]pdf
  • "An Entropy-based Uncertainty Measure of Process Models", Information Processing Letters, Vol. 111, No. 3, Jan 2011, pp. 135-141. [http]pdf
  • "Hierarchical Clustering of Business Process Models", International Journal of Innovative Computing, Information and Control, Vol. 12, No. 5, Dec 2009, pp. 4501-4511. [http]pdf

News and History of IAI Lab. #



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