Professor #
  |   Jae-Yoon JUNG (정재윤, 鄭在倫)  
Professor, Dept. of Industrial & Management Systems Engineering (IE), KHU, 2018.9~present  
Dean of Information Service and Strategy, KHU, 2021.9~present  
Director of Digital Transformation (DX) Initiative, KHU, 2024.11~2025.10  
Adjunct Professor, Dept. of Artificial Intelligence (AI), KHU, 2022.9~present  
Adjunct Professor, Dept. of Big Data Analytics (BDA), KHU, 2020.9~present  
Adjunct Professor, Dept. of Software Convergence (SWCon), KHU, 2017.3~present  
Department Head, BDA, KHU, 2021.9~2022.8, 2024.3~2025.2  
Graduate Program Director, IE, KHU, 2018.2~2020.1  
Director, Graduate Program for Smart Manufacturing Intelligence (SMI), KHU, 2017.3~2020.2  
Department Head, IE, KHU, 2015.2~2018.1  
Associate/Assistant Professor, IE, KHU, 2007.9~2018.8  
Ph.D./M.S./B.S., Industrial Engineering, Seoul National University, 2005, 2001, 1999  
 (Office) 430-Ho, Eng. Bld., (Tel) +82-31-201-2537, (E-mail) jyjung_at_khu.ac.kr  
(Lab) http://iai.khu.ac.kr/wiki/wiki.php/JYJung  
(Personal) http://web.khu.ac.kr/~jung  
  Curriculum vitae  Google scholar  Scopus profile  pure  orcid  |  
 
 
 
Post-Doc Researcher #
  |  Young-Suk HAN (한영석)  
Ph.D. Candidate, IAI Lab., 2021.3~  
M.S., IAI Lab., 2019.3~2021.2  
Industrial Engineering, Kyung Hee University 
E-mail - ysjhan_at_khu.ac.kr 
Master Thesis: A Learning-to-Rank Based Job Dispatching Method for Production Scheduling Using Machine Learning (머신러닝을 이용한 Learning-to-Rank 기반 스케줄링 작업할당 학습기법 개발) 
Doctoral Thesis: Imitation and evolutionary learning of dispatching rules for production scheduling using learning-to-rank and genetic programming (순위학습과 유전프로그래밍을 이용한 생산 스케줄링을 위한 디스패칭 규칙의 모방 및 진화 학습) |  
 
 
 
Ph.D. Candidates #
  |  Jongpil NAM (남종필)  
  
Ph.D. student, IAI Lab., 2020.9~  
M.S., Human Factors Lab., Kyung Hee University 
B.S., Industrial Engineering, Kyung Hee University 
E-mail - kathasdiablo_at_gmail.com |  
 
  |  Seohyun CHOI (최서현)  
Ph.D. Candidate, IAI Lab., 2021.3~  
M.S., BPMLab., 2014.3~2016.2  
Research Assistant, BPMLab., 2012.1~2013.2 
Industrial Engineering, Kyung Hee University 
Netmarble Corp. (넷마블) 
E-mail - choish91_at_khu.ac.kr 
Master Thesis: A Process Mining Technique based on Bayesian Networks for Inference of Probabilistic Event Patterns (확률적 이벤트 패턴 추론을 위한 베이지안 네트워크 기반 프로세스 마이닝 기법) |  
 
 
 
Ph.D. Students #
  |  Minsik KIM (김민식)  
Ph.D. Student, Big Data Analytics, 2025.3~  
M.S., IAI Lab., Big Data Analytics, 2023.3~2025.2  
Research Assistant, IAI Lab., 2022.7~2023.02  
Industrial Engineering, Kyung Hee University 
E-mail - 2017100869_at_khu.ac.kr 
Master Thesis:  LLM-based Explainable AI Systems Using Rule Extraction from Ensemble Trees (앙상블 트리에서 규칙 추출을 사용하는 LLM 기반 설명 가능 AI 시스템) |  
 
  |  Min-Woo BAEK (백민우)  
Ph.D. Student, Big Data Analytics, 2025.3~  
한화모멘텀, 2022.12~ 
Korea Electronics Technology Institute (한국전자기술연구원), 2020.11~2022.08 
M.S., IAI Lab., 2018.3~2020.2 
B.S., Industrial Engineering, Kyung Hee University, 2018.2  
https://rasnim.github.io  
E-mail - bjh713_at_khu.ac.kr 
Master Thesis: A Clustering and Assignment Technique of Automotive Welding Points for Path Generation of Industrial Robots (로봇 경로 생성을 위한 차량 용접점 클러스터링 및 할당 기법 연구) |  
 
  | Yuri HAN (MS, 2022.8) 
M.S., IAI Lab., 2022.8  
B.S., Industrial Engineering, Myungji University 
E-mail - youry6936_at_khu.ac.kr 
Master Thesis: Document Object Detection을 위한 비용-효율적 Active Transfer Learning 프레임워크 (Cost-efficient Active Transfer Learning Framework for Document Object Detection) |  
 
 
 
MS-PhD Combined Students #
  |  Heeyoung PARK (박희용)  
 
MS-PhD combined student, IAI Lab., 2020.3~  
B.S., Electronic Engineering, Kyung Hee University 
E-mail - heeyong_park_at_khu.ac.kr;heeyong_park_at_jvg.co.kr |  
 
 
 
Master Students #
  |  Minjong SHIN (신민종) 
  
M.S. student, Big Data Analytics, 2024.3~   
Mechanical Engineering, Inha University 
E-mail - shinmj_at_khu.ac.kr |  
 
  |  Sol JEONG (정솔) 
  
M.S., student, Big Data Analytics, 2024.3~   
B.S., Industrial and Management Systems Engineering, Kyung Hee University, 2023.2 
E-mail - bohomi1995j_at_khu.ac.kr |  
 
  |  Yuchan CHOI(최유찬)  
 
M.S. student, Big Data Analytics, 2024.9~   
Biotechnology, Korea University 
E-mail - oksusu_at_khu.ac.kr |  
 
  |  Taeho Park(박태호) 
  
M.S. student, Big Data Analytics, 2025.3~   
Industrial Engineering, Pukyung National University 
E-mail - xogh9110 _at_khu.ac.kr |  
 
  |  Myeonggu Kang(강명구) 
  
M.S., student, Artificial Intelligence., 2025.09~  
Research Assistant, IAI Lab., 2024.3~2025.8 
(Double Major)  
B.S., Industrial and Management Systems Engineering, Kyung Hee University, 2025.8 
B.S., Software Convergence, Kyung Hee University, 2025.8 
Research Interests - AI-Driven Intelligent Manufacturing & Process Intelligence 
E-mail - augrb_at_khu.ac.kr |  
 
 
 
Undergraduate Students #
  |  Yujin Chung(정유진) 
  
Research Assistant, IAI Lab., 2025.7~ 
B.S., Industrial and Management Systems Engineering, Kyung Hee University, 2026.2 
Research Interests - Large Language Models and Applications in Smart Manufacturing  
E-mail - yujin010917_at_khu.ac.kr |  
 
 
 
Alumni #
  |  Beomseok SEO (서범석)  
 
M.S. student, Big Data Analytics, 2022.9~  
B.S., Applied Mathmatics, Kyung Hee University 
E-mail - beomseok_at_khu.ac.kr |  
 
  | Donghyun PARK (박동현) (PhD, 2024.2) 
KETI (한국전자기술연구원), 2025.3~ 
Advanced Institute of Convergence Technology (차세대융합기술연구원), 2024.3~2025.2 
Ph.D., IAI Lab., 2019.9~2024.2  
M.S., IAI Lab., Kyung Hee University, 2019.8 
Research Assistant, IAILab., 2017.4~8 
B.S., Industrial Engineering, Kyung Hee University, 2017.8 
E-mail - pdh_at_khu.ac.kr 
Master Thesis: Diagnosis of Machine Tool Wear Using Real-Time Object Detection Algorithms Based on Deep Learning (딥러닝 기반 실시간 객체 탐지 알고리즘을 이용한 설비 마모 진단 연구) 
Doctoral Thesis: Explainable Domain Generalization Techniques for Time Series Classification (시계열 분류를 위한 설명가능한 도메인 일반화 기법) |  
 
  | Donghyuk JANG (장동혁) (MS, 2024.2) 
OCI, 2024.9~  
M.S., Big Data Analytics, 2022.3~2024.2  
B.S., Industrial Engineering, Hankuk University of Foreign Studies 
E-mail - hyuk5930_at_khu.ac.kr  
Master Thesis: Interpretable open-set recognition for fault diagnosis of rotating machines (회전기기 이상진단을 위한 설명가능한 오픈셋 인식) |  
 
  | Han-Ik CHO (조한익) (MS, 2024.2) 
SK Magic (SK매직), 2024.1~ 
M.S., Big Data Analytics, 2022.3~2024.2  
B.S., Mathematics, Kangwon National University 
E-mail - johanik_at_khu.ac.kr  
Master Thesis: Supervised Contrastive Learning for Effective Fault Classification (효과적 고장 분류를 위한 대조적 지도학습) |  
 
  |  Hoonseok PARK (PhD, 2022.8) 
https://cacaotree.github.io/  
Samsung Elec. 2023.1~  
Ph.D., IAILab., 2022.8 
M.S., IAI Lab., Kyung Hee University, 2018.2 
B.S., Industrial Engineering, Kyung Hee University, 2016.2  
E-mail -hoonseok_at_khu.ac.kr  
Doctoral Thesis: Explainable Artificial Intelligence for Spatiotemporal Data Analysis  
Master Thesis: Frequent Pattern Discovery and Analysis from Multivariate Time Series in Manufacturing (다변량 제조 시계열 데이터의 규칙 발견 및 패턴 분석 연구) |  
 
  | Jimin KIM (MS, 2022.8) 
Upstage (업스테이지), 2023~ 
M.S., IAI Lab., 2022.8  
Research Assistant, IAI Lab., 2019.3~  
B.S., Industrial Engineering, Kyung Hee University 
E-mail - _at_khu.ac.kr 
Master Thesis: Hierarchical Deep Q-Networks 기반 SBS/RS 입고 정책 학습 (Learning Storage Policies for SBS/RS Using Hierarchical Deep Q-Network) |  
 
  | Youngha JOO  (MS, 2022.8) 
i-Sens (아이센스), 2023~ 
M.S., IAI Lab., 2022.8  
B.S., Astronomy & Space Science, Kyung Hee University 
E-mail - qmopla_at_khu.ac.kr 
Master Thesis: Traffic Flow Speed Prediction in Semiconductor Fab Using Temporal Graph Convolutional Networks (시간 그래프 합성곱 신경망을 이용한 반도체 팹의 반송흐름속도 예측) |  
 
  | Junmo AN  (MS, 2021.2) 
Kumjang (금장), 2021.2~  
Master, IAI Lab., 2019.3~2021.2 
Industrial Engineering, Kyung Hee University 
E-mail - _at_khu.ac.kr 
Master Thesis: FFT-CAM을 이용한 회전기기 이상 진단을 위한 설명가능한 1D-CNN 딥러닝 기법 (An Explainable 1D-CNN Deep Learning Method for Fault Diagnosis of Rotating Machinery Using FFT-CAM) |  
 
  | Jeong-Eon AHN (MS, 2020) 
Samsung Electronics (삼성전자), 2021.10~ 
HDC (현대산업개발), 2020.11~2021.9 
M.S., IAI Lab., 2019.3~2020.8 
Research Assistant at IAILab., 2018.3~2019.2 
B.S., Industrial Engineering, Kyung Hee University 
E-mail -jeongeon_at_khu.ac.kr 
Master Thesis: Development of an Ensemble Scheduler from Optimal Scheduling Solutions Using Machine Learning (머신러닝을 이용한 최적해로부터의 스케줄링 작업할당규칙 학습기법 개발) |  
 
  |  Josué Rodolfo OBREGON VELASQUEZ (PhD, 2020.2) 
http://josue-obregon.com  
Assistant Professor, IE, SeoulTech, 2023.9~ 
Research Professor, IAILab., 2023.4~2023.7 
Post-Doctor, IAILab., 2020.3~2023.3  
 Ph.D., IAILab., 2020.2  
M.S., IAI Lab., Kyung Hee University, 2012.3~2014.2  
B.S., Science and  Systems  Engineering, San Carlos University, 2011 
Research Interests - Machine learning explainability,  fault detection  
E-mail - jobregon_at_khu.ac.kr  
Doctoral Thesis: Machine learning interpretability of decision tree ensembles for imbalanced classification: Techniques and their visualization 
Master Thesis: Discovery of Users-Centric Hierarchical Process Models in Social Networking Services  |  
 
  | Min Kyu SIM (Research Professor)  
Assistant Professor, Industrial Engineering, Seoul National University of Science & Technology, 2019.9~  
Research Professor, Industrial Engineering, Kyung Hee University, 2018.3~2019.8 
KB Asset Management Co., Ltd., 2017 
Samsung Asset Management Co., Ltd., 2016 
Ph.D., Industrial & Systems Engineering, Georgia Institute of Technology, 2015.6 
M.S., Financial Mathematics, University of Chicago 
B.S., Industrial Engineering, Seoul National University |  
 
  | Aekyung KIM (PhD, 2018) 
Senior Researcher, Samsung Electronics (삼성전자), 2019.3~  
Post-Doctor, IAILab., 2018.9~2019.1 / Ph.D., IAILab., 2018.8 / M.S., IAI Lab., 2012.2  
Research assistant, IAI Lab., 2009.6~2010.8  
B.S., Industrial Engineering, Kyung Hee University, 2010.8  
Research Interests - Dynamic Process Patterns, Process Mining  
E-mail -akim1007_at_khu.ac.kr 
https://sites.google.com/site/akkim7979/  
Doctoral Thesis: Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling (앙상블 기반 품질 분류 및 심층강화학습 기반 생산 스케줄링) 
Master Thesis: A Process Mining Technique for Performer Recommendation Using Decision Tree (의사결정나무 기반의 프로세스 마이닝을 이용한 업무 담당자 추천 기법) |  
 
  | Berny Alfonso CARRERA GORDILLO (PhD, 2019)   
Associate Instructor, University of Utah Asia Campus, 2024.8~  
Post-Doctor/Research Prof., Inchen National University, 2019.11~/2023.1~  
Ph.D., Industrial Engineering, Kyung Hee University, 2011.9~2019.2 
M.S., Reengineering and Assurance Technologies, Galileo University, 2010  
M.S., Database Systems, Galileo University, 2010  
B.S., Computer Engineering, Galileo University, 2010 
Research Interests - Business process optimization, Web Services, Social Networks  
Hobby - Swimming, Read, Online Games  
E-mail - bernyh2o_at_gmail.com 
https://sites.google.com/site/bernyh2o/  
 Doctoral  Thesis: Predictive and Descriptive Analytics for Smart Energy and Social Networks |  
 
  | Yerin AHN(MS, 2019)  
M.S., IAI Lab., 2017.3~2019.2 
Research Assistant at BPMLab., 2016.10~2017.2 
Industrial Engineering, Kyung Hee University 
E-mail -   
 Master Thesis: 순환신경망을 이용한 생산라인 AMHS 도달시간 예측 연구 |  
 
  | Seul-Gi KIM (MS, 2019) 
 Researcher, SK주식회사 C&C, 2019.05~ 
Researcher, 포스코 ICT, 2018.11~2019.04   
M.S., IAI Lab., 2017.3~2019.2 
Research Interests - BigData analytics, Machine Learning   
Hobby - soccer  
E-mail - super_man_at_sk.com  
 Master Thesis: 단일 클래스 분류 기법을 이용한 진동 데이터 기반 시스템 고장 감지 분석: 마할라노비스 거리 기반 분류 기법을 중심으로 |  
 
  | Parul SINGH (MS, 2018) 
M.S., IAILab., 2014.9~2018.2 
E-mail - osg_singhs_at_yahoo.com 
Master  Thesis: Flow Orientation Analysis for Major Activity Regions Based on Smart Card Transit Data |  
 
| Upload new Attachment "bitzel.jpg" | Bitzel CORTEZ (MS, 2018) 
M.S., IAILab., 2014.9~2018.2 
E-mail - bitzel30_at_gmail.com 
Master Thesis: Recurrent Neural Networks for Emergency Event Assessment |  
 
  | KyuHyup OH (PhD, 2017) 
Senior Researcher, KTL (Korea Testing Laboratory, 한국산업기술시험원), 2018.3~ 
Post-doc, IAILab., 2017.9~2018.2 
MS-PhD student, IAILab.(7.5), 2010.3~2017.8 
Research Assistant(2007.12~2010.2), BPMLab. 
Dept. of Industrial Engineering, Kyung Hee University 
Doctoral Thesis: Techniques and Applications of Classification and Clustering of Big Time-Series Data 
Research Interests - Process Mining, Semantic Web, Web Security, Log Analysis  
Hobby - Linux, Mac  
E-mail - k8383_at_khu.ac.kr 
Doctoral Thesis: Techniques and Applications of Classification and Clustering of Big Time-Series Data (시계열 빅데이터 분류 및 클러스터링 기법과 응용) |  
 
  | Jinsung LEE (PhD, 2017) 
Senior Researcher, KETI (Korea Electronics Technology Institute, 전자부품연구원), 2019.2~ 
Senior Researcher, KOSF (Korea Smart Factory Foundation, 스마트공장추진단), 2015.1~2019.1 
Ph.D, MIS Lab., 2010.3~2017.8 
Master of Science(2007.9~2010.2), MIS Lab. 
Industrial Engineering, Kyung Hee University 
E-mail - jinsl127_at_khu.ac.kr 
Doctoral Thesis: Data-driven Operational Analytics based on Process Mining Techniques (데이터 기반의 프로세스 운영 분석)  
Master Thesis: Fuzzy-AHP 기법을 이용한 IT 아웃소싱 평가지표 우선순위 수립에 관한 연구 |  
 
  | Jisuk PARK (MS, 2017) 
Researcher, Rotork Controls Korea (로토큰컨트롤즈코리아(주)), 2018.2~ 
M.S., MIS Lab., 2014.3~2017.8 
E-mail -  |  
 
  | KyuRi KIM  
Ph.D. student(-), Industrial Engineering, Kyung Hee University, 2009.3~ 
M.S., Computer Engineering, Jeju National University, 2008 
Research Interests - Ubiquitous Computing, BPM, DW, Ontology 
Hobby - Meditation 
E-mail - krkim82_at_khu.ac.kr |  
 
  | Gwangjin HEO (MS, 2016)  
Master of Science at BPMLab., 2014.9~2016.2 
Research Assistant at BPMLab., 2013.6~2014.8 
Industrial Engineering, Kyung Hee University 
 LS Cable & System Ltd. (LS전선)->LG Display  
Research Interests - Business Analytics for Supply Chain, Database Management 
E-mail - jin89_at_khu.ac.kr 
https://sites.google.com/site/gjheo89/  
Thesis: Analysis of Critical Path and Bottleneck in Business Process Execution |  
 
  | Kwanho KIM (Post-doc, 2014)  
Post-doc researcher(2012.9~2014.2), BPMLab., Kyung Hee University 
Ph.D., Industrial Engineering, Seoul National University, 2012 
Assistant Professor, Industrial & Management Engineering, Incheon National University 
E-mail - kwanho.kay.kim_at_gmail.com |  
 
| Upload new Attachment "yhahn.jpg" | Yunha AHN (MS, 2013)  
Master of Science at MIS Lab., Kyung Hee University, 2011.3~2013.8 
E-mail - roxy87_at_khu.ac.kr 
Thesis: 프로세스 마이닝을 이용한 웹 접속 로그 분석 |  
 
  | Hwang-Hyeon MA (MS, 2013) 
Master of Science at BPMLab., Kyung Hee University, 2011.3~2013.2 
Research assistant at BPMLab., 2009.2~2011.2 
Dept. of Industrial Engineering, Kyung Hee University  
Daewoo Shipbuilding & Marine Engineering co.,Ltd (대우조선해양 기술연구소)->한국산업기술시험원 
E-mail - hyeon_at_khu.ac.kr 
Thesis: 프로세스 마이닝을 이용한 위치 이력의 라이프 패턴 분석 |  
 
| Upload new Attachment "chpark.jpg" | Chihyung PARK (MS, 2013)  
Master of Science at MIS Lab., Kyung Hee University, 2010.9~2013.2 
Industrial Engineering, Kyung Hee University 
Samsung SDS (삼성SDS) 
E-mail - ruledis1_at_khu.ac.kr 
Thesis: P-SERVQUAL:갭 모델 기반의 서비스 프로토타입 품질 측정 도구 개발 |  
 
| Upload new Attachment "hjkim.jpg" | Hyunjin KIM (MS, 2013)  
Master of Science at MIS Lab., Kyung Hee University, 2010.9~2013.2 
Dongjin Control Technology (동진제어기술) 
E-mail - hyunjin1345_at_gmail.com 
Thesis: 유비쿼터스 콜드 체인 물류를 위한 지능형 위험 관리 프레임워크 |  
 
  | Pablo Augusto ROSALES TEJADA (MS, 2011)  
Master of Science at BPMLab., Kyung Hee University, 2009.9~2011.8 
Master of Business Administration, Mesoamericana University, 2008 
B.S., Science and  Systems  Engineering, San Carlos University, 2006 
Assistant professor in San Carlos University, Guatemala 
parosales_at_gmail.com 
Thesis: Context-Aware Complex Event Processing for Ubiquitous Business Process Management |  
 
  | Jihwan JUNG (MS, 2010) 
Master of Science at MISLab., 2008.3~2010.2 
B.S., Industrial Engineering, Kyung Hee University, 2008.2 
Business Innovation Center, LG Display (LG디스플레이) 
jiwhan_at_lgdisplay.com 
Thesis: SCOR 모델에 기반한 제조협업에서의 협력적 성과지표 관리 |  
 
 
 
 
 |