== '''Industrial AI Lab''' ==
 '''[https://youtu.be/DE8YfxlHwIk?si=aBCWj77Dvvr78T1K Video (in Korean)]'''
 [[HTML(<a href="https://youtu.be/DE8YfxlHwIk?si=aBCWj77Dvvr78T1K" target="_blank"> <img src="http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.?action=download&value=iai_202510.png" width=400"></a>)]]
==== Research Applications ====
 * '''[http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.1 Production AI]'''
  * Scheduling and dispatching for semicon FAB
  * Bottleneck detection and resolution
  * Optimal inventory operation in AS/RS
 * '''[http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.2 Manufacturing AI]'''
  * Quality control and defect detection 
  * Fault detection and classification (FDC) 
  * Prognostics and health management (PHM)
##  * '''[http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.3 Smart Energy]'''
##  * Solar and Wind Power Generation Prediction 
 * '''[http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.4 Human-AI Interfaces]'''
  * 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 ====
##  * '''AI Methods'''
##  [http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.4 Explainable AI]
##  [http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.5 Deep Learning]
##  [http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.6 Machine Learning]
##  [http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.7 Process Mining] 
 * '''[http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.5 eXplainable AI (XAI) ]'''
  * RuleCOSI/RuleCOSI+: Rule-based explanation of tree ensembles
  * Spatio-temporal explanation of deep learning
 * '''[http://iai.khu.ac.kr/ Domain Generalization and Adaption (DGA)]'''
  * Domain adaptation for manufacturing AI
  * Domain generalization for brain-AI interfaces
 * '''[http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.4 Human-Centered AI  (HCAI) ]'''
 Human-centered AI (HCAI) aims to push the boundaries of previously limited AI solutions to bridge the gap between machine and human. This book presents current theories, fundamentals, techniques and diverse applications of human-centered AI. Chapter 1, "Are AI models explainable, interpretable and understandable?" (by Jae-Yoon Jung and Donghyun Park), introduces readers to the design and development process, including mind perception and human interfaces. 
  * [https://www.elsevier.com/books/human-centered-artificial-intelligence/nam/978-0-323-85648-5 '''(Elsevier)''' Human-Centered Artificial Intelligence - Research and Applications]
  * [https://www.sciencedirect.com/book/9780323856485/human-centered-artificial-intelligence View on '''ScienceDirect''']
  [[HTML(<a href="https://www.sciencedirect.com/book/9780323856485/human-centered-artificial-intelligence" target="_blank"> <img src="http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.?action=download&value=HCAIs.png" width=400"></a>)]]
 * '''[http://bpm.khu.ac.kr/wiki/wiki.php/IAI%20Lab.#s-3.6 Process Mining ]'''
 Process mining techniques enable to extract knowledge from event logs, which can be collected easily in today's IT systems. The techniques provide new means to discover, monitor, and improve processes in a variety of application domains (IEEE TFoPM, 2011). 
  * [https://www.tf-pm.org/ '''IEEE Task Force on Process Mining''']
  * [https://www.tf-pm.org/resources/manifesto '''Process Mining Manifesto (English, Korean, and other languages)''' ] 
  * '''Process Mining Book''' ([https://www.kyobobook.co.kr/product/detailViewEng.laf?ejkGb=BNT&mallGb=ENG&barcode=9783662498507 '''2nd Edition''']  [https://www.kyobobook.co.kr/product/detailViewKor.laf?ejkGb=KOR&mallGb=KOR&barcode=9788936318727 '''Korean Translation'''])
 attachment:BPM%20Lab./pm_en.jpg  attachment:BPM%20Lab./pm_kr.jpg attachment:BPM%20Lab./pm_book.jpg  attachment:BPM%20Lab./pm_book_kr_new.jpg
## The topics of IAI Lab can be visualized as the following word cloud:
## attachment:BPM%20Lab./wordcloud.jpg

== 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)[https://doi.org/10.1016/j.jmsy.2025.12.025 doi] [https://www.sciencedirect.com/science/article/pii/S027861252500322X/pdfft?md5=ecd7c8fd732ab8224c0546f47fc28ea4&pid=1-s2.0-S027861252500322X-main.pdf pdf]
 * "'''Imitation learning''' of job dispatching data combining classification and ranking",  ''Computers & Industrial Engineering'', Vol. 207, Sep. 2025, 111305. [https://doi.org/10.1016/j.cie.2025.111305 doi] [https://www.sciencedirect.com/science/article/pii/S0360835225004516/pdfft?md5=3e0bb080868c90319dfde655c8198d65&pid=1-s2.0-S0360835225004516-main.pdf 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. [https://doi.org/10.1007/s10845-022-02057-1 doi] [https://link.springer.com/content/pdf/10.1007/s10845-022-02057-1.pdf pdf] [https://drive.google.com/file/d/1yjpCUGbqupA6AqWsd3XvMl3cUeMKtSBz/ 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://www.sciencedirect.com/science/article/pii/S0278612521001382?via%3Dihub 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. [http://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1407447 link] [http://www.tandfonline.com/eprint/9JwDxaSmfSsizDnrzsSC/full 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) [https://doi.org/10.1016/j.rser.2024.114479 doi] [https://drive.google.com/file/d/1hJVdAMS5wv9u6UhlNA2Y_rj3V2Ub0K8K/view?usp=drive_link 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. [https://www.sciencedirect.com/science/article/pii/S2352152X23000774 link] [https://drive.google.com/file/d/1PcnCnPpboJztMafFdJLYtpLfWpZdWUd6/ 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. [https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2018.6174 link] [https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rpg.2018.6174 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) [https://ieeexplore.ieee.org/document/10310256/ link]  [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10310256 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) [https://www.sciencedirect.com/science/article/pii/S1566253522001129 link] [https://www.sciencedirect.com/science/article/pii/S1566253522001129/pdfft?md5=0b58e19ec75339e444a7354d6b745245&pid=1-s2.0-S1566253522001129-main.pdf pdf] [https://drive.google.com/file/d/1qYXTT5mcOtSKSo9bXY6R_lpeID5BnILc/ 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. [https://doi.org/10.1016/j.eswa.2019.02.012 link] [https://drive.google.com/file/d/1FwMrNQXNCo_6g0U9O52n47DEN5oURglI/view?usp=sharing pdf]
==== Process Mining ====
 * "'''InfoFlow''': Mining Information Flow Based on User Community in Social Networking Services", ''IEEE Access'', Vo. 7, Apr 2019, pp. 48024-48036. [https://ieeexplore.ieee.org/document/8681519?arnumber=8681519 link] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8681519 pdf]
 * "'''FlowWiki''': A Wiki Based Platform for Ad-hoc Collaborative Workflows", ''Knowledge-Based Systems'', Vol. 24, No. 1, Feb 2011, pp. 154-165. [http://web.khu.ac.kr/~jung/paper/Jung_IJ_201102_KBS.pdf pdf]
 * "An '''Entropy-based Uncertainty''' Measure of Process Models", ''Information Processing Letters'', Vol. 111, No. 3, Jan 2011, pp. 135-141. [http://web.khu.ac.kr/~jung/paper/Jung_IJ_201101_IPL.pdf 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://web.khu.ac.kr/~jung/paper/Jung_IJ_200912_IJICIC.pdf pdf]

== '''News and History of IAI Lab.''' ==
 * '''[http://bpm.khu.ac.kr/wiki/wiki.php/History History (in Korean)]'''