- BPM Lab. . . . . 10 matches
=== Mission of BPM Lab : '''''Towards Business & Operational Excellence''''' ===
BPM Laboratory conducts research on developing and implementing business innovation techniques for operational excellence on the basis of business process modeling and analysis techniques in a variety of business area such as e-Biz (electronic business), i-Biz (internet business), and u-Biz (ubiquitous business). We envision the next generation of business process management which can embrace the future technologies, '''Big Data''', '''Social Network Analysis''', and the '''Internet of Things'''.
The topics of BPM Laboratory can be visualized as the following word cloud:
Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains (IEEE TFoPM, 2011). [http://www.win.tue.nl/ieeetfpm]
The Social Web (also known as Web 2.0) is a trend in web design, development and management. It can refer to a perceived second generation of web-based communities and hosted services, such as social-networking sites, wikis, and folksonomies, which aim to facilitate creativity, collaboration, and sharing between users.
* sponsored by '''MOTIE (산업통상자원부)''', collaborating with '''Yonsei University''' and '''Soongsil University'''
* sponsored by '''MOTIE (산업통상자원부)''', collaborating with '''KITECH, POSTECH, ECMiner,''' and '''JihooSoft'''
* '''Overview''' : Smart factory means the advanced manufacturing environment in production and operations by embracing information technologies such as the Internet of Things (IoT), the cloud, big data analytics and cyber-physical systems. In the smart factory of the future, the convergence of information technology and factory automation pursues the advanced manufacturing in most activities such as demand forecasting, production planning and control, scheduling, inventory and logistics management. We are developing smart factory systems and applications based on big manufacturing data, collaborating with KITECH and ECMiner. For example, several models for production quality analysis, such as classification models, prediction models, factor analysis, and pattern discovery, are being developed and implemented in form of a manufacturing data mining library.
attachment:BPM%20Lab./2_seoul_subway.jpg attachment:seoul_subway2.jpg attachment:seoul_conven3.jpg
=== News of BPM Lab. (since 2013) ===
attachment:BPM%20Lab./kbigdata2017.jpg
2016.1.18-22 벨기에 KU Lueven 대학교 LIRIS팀이 BPM Lab을 방문하여 연구교류 진행
2014.10.9-14 벨기에 KU Lueven 대학교 LIRIS팀이 BPM Lab을 방문하여 연구교류 진행
2014.8.24-30 BPMLab 연구팀이 벨기에 KU Lueven 대학교 LIRIS팀을 방문하여 연구교류 진행(김애경, Josue, 교수님)
[http://bpm.khu.ac.kr/wiki/wiki.php/History '''History of BPM Lab. (before 2013)''']
- BigData . . . . 1 match
* Big data: Challenges and opportunities, Infosys Labs Briefings. [http://www.infosys.com/infosys-labs/publications/infosyslabs-briefings/Pages/bigdata-challenges-opportunities.aspx 11 (1), 2013]
- Gallery . . . . 1 match
==== Lab Gallery ====
- History . . . . 9 matches
=== History of BPM Lab. ===
attachment:BPM%20Lab./kbigdata2017.jpg
2016.1.18-22 벨기에 KU Lueven 대학교 LIRIS팀이 BPM Lab을 방문하여 연구교류 진행
2014.10.9-14 벨기에 KU Lueven 대학교 LIRIS팀이 BPM Lab을 방문하여 연구교류 진행
attachment:BPM%20Lab./belgium1.jpg attachment:BPM%20Lab./belgium2.jpg
2014.8.24-30 BPMLab 연구팀이 벨기에 KU Lueven 대학교 LIRIS팀을 방문하여 연구교류 진행(김애경, Josue, 교수님)
attachment:BPM%20Lab./bpm2013_3.jpg attachment:BPM%20Lab./apbpm2013.jpg
- IAI Lab. . . . . 22 matches
== '''Industrial AI Lab''' ==
The topics of IAI Lab can be visualized as the following word cloud:
attachment:BPM%20Lab./wordcloud.jpg
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
== News of IAI Lab. (since 2017) ==
2021.3.1-6.30 미국 North Carolina State University, BCI Lab 방문연구(박훈석, 박동현)
attachment:BPM%20Lab./icic2017.jpg
2017.3.1 Open Industrial AI Lab.
attachment:BPM%20Lab./kbigdata2017.jpg
2016.1.18-22 벨기에 KU Lueven 대학교 LIRIS팀이 BPM Lab을 방문하여 연구교류 진행
2014.10.9-14 벨기에 KU Lueven 대학교 LIRIS팀이 BPM Lab을 방문하여 연구교류 진행
attachment:BPM%20Lab./belgium1.jpg attachment:BPM%20Lab./belgium2.jpg
2014.8.24-30 BPMLab 연구팀이 벨기에 KU Lueven 대학교 LIRIS팀을 방문하여 연구교류 진행(김애경, Josue, 교수님)
attachment:BPM%20Lab./bpm2013_3.jpg attachment:BPM%20Lab./apbpm2013.jpg
[http://bpm.khu.ac.kr/wiki/wiki.php/History '''History of BPM Lab. (from 2008 to 2016)''']
- JYJung . . . . 3 matches
||<|4>attachment:Members/jung9.jpg||<width="80%">'''Affiliation''': [[br]]Professor, Industrial & Management Systems Engineering (IE), KHU, 2007.9~present [[br]]Adjunct Professor, Artificial Intelligence (AI), KHU, 2022.9~present [[br]]Adjunct Professor, Big Data Analytics (BDA), KHU, 2020.9~present [[br]]Adjunct Professor, Software Convergence (SWCon), KHU, 2017.3~present [[br]]Dean of Information Service and Strategy, KHU, 2021.9~present [[br]]Department Head, BDA, KHU, 2021.9~2022.8, 2024.3~present [[br]] Department Head, IE, KHU, 2015.2~2018.1 [[br]]'''Address''': [[br]]1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of Korea [[br]]'''Tel''': +82 31 201 2537 / '''E-mail''': jyjung_at_khu.ac.kr[[br]][http://iai.khu.ac.kr/wiki/wiki.php/JYJung] [[br]][http://web.khu.ac.kr/~jung] [[br]][http://web.khu.ac.kr/~jung/paper/Jung_CV_201310.pdf '''Curriculum vitae''']||
Dr. Jae-Yoon Jung (정재윤, 鄭在倫) is a professor in the department of industrial and management systems engineering at Kyung Hee University (KHU), Korea, and also an adjunct professor of the department of artificial intelligence, the department of the department of big data analytics (BDA), and the department of software convergence (SWCon), KHU. He is leading Industrial AI Lab at KHU.
He received the B.S., M.S., and Ph.D. degrees in Industrial Engineering at Seoul National University (SNU), in 1999, 2001, and 2005, respectively. In SNU, he was supervised by prof. Suk-Ho Kang and Yeongho Kim in Intelligent Manufacturing Systems Lab. After that, he visited the Process Mining Group at Eindhoven University of Technology (TU/e) in the Netherland, supervised by prof. Wil van der Aalst. Before joining in KHU, he worked for u-Computing Innovation Center (uCIC), directed by Prof. Jinwoo Park, and he also studied in the Information Management Lab. at SNU, supervised by prof. Jonghun Park. His current research interests include Industrial AI, Big Data Analytics, Process Mining, and Smart Factory.
(Thesis: Design and Analysis of B2B Collaborative Process Using Process Choreography and Workflow Clustering)
* 2015.6 Industrial Chair of [http://bilab.unist.ac.kr/apbpm2015/ APBPM 2015]
* 2014.7 PC Chair of [http://bilab.unist.ac.kr/apbpm2014/ APBPM 2014]
* 2013.8 PC Member of [http://bilab.unist.ac.kr/apbpm2013/ APBPM 2013]
1. Jae-Yoon Jung, Kwanho Kim, Dongmin Shin, and Jonghun Park, "'''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]
1. Jae-Yoon Jung, Wonchang Hur, Suk-Ho Kang, and Hoontae Kim, "'''Business Process Choreography''' for B2B Collaboration", IEEE Internet Computing, Vol. 8, No. 1, Jan/Feb 2004, pp. 37-45. [http://web.khu.ac.kr/~jung/paper/Jung_IJ_200306_IEEEIC.pdf pdf]
[http://iai.khu.ac.kr/wiki/wiki.php/Publications '''Full list of publications''']
- Jae-YoonJung . . . . 3 matches
Dr. Jung is an assistant professor in the department of industrial and management systems engineering at Kyung Hee University (KHU). He is also the director of Business Process Management Lab at KHU. He received the Ph.D., M.S., and B.S. degrees in Industrial Engineering at Seoul National University (SNU), in 2005, 2001, and 1999, respectively. In SNU, he was supervised by prof. Suk-Ho Kang and Yeongho Kim in Intelligent Manufacturing Systems Lab. After that, he also collaborated with prof. Jonghun Park in Information Management Lab at SNU, and visited BPM Group in Faculty of Technology Management, Eindhoven University of Technology (TU/e) in the Netherland, supervised by prof. Wil van der Aalst. Before joining in KHU, he worked for u-Computing Innovation Center (uCIC) directed by Prof. Jinwoo Park.
(Thesis: Design and Analysis of B2B Collaborative Process using Process Choreography and Workflow Clustering)
- Members . . . . 106 matches
||<|4>attachment:jung9.jpg?width=120||<width="80%">[http://bpm.khu.ac.kr/wiki/wiki.php/JYJung '''Jae-Yoon JUNG (정재윤, 鄭在倫)'''] [[br]]Professor, Dept. of Industrial & Management Systems Engineering (IE), KHU, 2018.9~present [[br]]Dean of Information Service and Strategy, KHU, 2021.9~present [[br]]Adjunct Professor, Dept. of Artificial Intelligence (AI), KHU, 2022.9~present [[br]]Adjunct Professor, Dept. of Big Data Analytics (BDA), KHU, 2020.9~present [[br]]Adjunct Professor, Dept. of Software Convergence (SWCon), KHU, 2017.3~present [[br]]Department Head, BDA, KHU, 2021.9~2022.8, 2024.3~ [[br]]Graduate Program Director, IE, KHU, 2018.2~2020.1 [[br]]Department Head, IE, KHU, 2015.2~2018.1 [[br]]Director, Graduate Program for Smart Manufacturing Intelligence (SMI), KHU, 2017.3~2020.2[[br]]Associate/Assistant Professor, IE, KHU, 2007.9~2018.8 [[br]]Ph.D./M.S./B.S., Industrial Engineering, Seoul National University, 2005, 2001, 1999 [[br]] (Office) 430-Ho, Eng. Bld., (Tel) +82-31-201-2537, (E-mail) jyjung_at_khu.ac.kr [[br]](Lab) http://iai.khu.ac.kr/wiki/wiki.php/JYJung [[br]](Personal) http://web.khu.ac.kr/~jung [[br]] [https://drive.google.com/file/d/1MgIE0Cbr949q1uHZRneCGj181f_i7KKq/ Curriculum vitae] [https://scholar.google.com/citations?user=iuRrCpIAAAAJ&hl=en Google scholar] [https://www.scopus.com/authid/detail.uri?authorId=55575978400 Scopus profile] ||
||attachment:leo.jpg?width=120||<width=>'''[https:// Jongpil NAM (남종필)]''' (part-time)[[br]] [[br]]Ph.D. student, IAI Lab., 2020.9~ [[br]]M.S., Human Factors Lab., Kyung Hee University[[br]]B.S., Industrial Engineering, Kyung Hee University[[br]]E-mail - kathasdiablo_at_gmail.com||
||attachment:shchoi2.jpg?width=120||<width="80%">[https://seohyunc.github.io/tabs/about '''Seohyun CHOI (최서현)'''] [[br]]Ph.D. Candidate, IAI Lab., 2021.3~ [[br]]M.S., BPMLab., 2014.3~2016.2 [[br]]Research Assistant, BPMLab., 2012.1~2013.2[[br]]Industrial Engineering, Kyung Hee University[[br]]Netmarble Corp. (넷마블)[[br]]E-mail - choish91_at_khu.ac.kr[[br]]'''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)||
||attachment:12123.jpg?width=120||<width="80%">'''[https://YoungsukHan.github.io Young-Suk HAN (한영석)'''] [[br]]Ph.D. Candidate, IAI Lab., 2021.3~ [[br]]M.S., IAI Lab., 2019.3~2021.2 [[br]]Industrial Engineering, Kyung Hee University[[br]]E-mail - ysjhan_at_khu.ac.kr[[br]]'''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)||
||attachment:leo.jpg?width=120||<width=100%>'''[https:// Heeyoung PARK (박희용)]''' (part-time) [[br]][[br]]MS-PhD combined student, IAI Lab., 2020.3~ [[br]]B.S., Electronic Engineering, Kyung Hee University[[br]]E-mail - heeyong_park_at_khu.ac.kr;heeyong_park_at_jvg.co.kr||
||attachment:abc.jpg?width=120||<width=100%>'''[https://kimignis.github.io/ Minsik KIM (김민식)][[br]]''' [[br]]M.S. student, Big Data Analytics, 2023.3~ [[br]]Research Assistant, IAI Lab., 2022.7~2023.02 [[br]]Industrial Engineering, Kyung Hee University[[br]]E-mail - 2017100869_at_khu.ac.kr||
||attachment:mgkang.jpg?width=120||<width=100%>'''[https:// Myung-Gu KANG (강명구)][[br]]''' [[br]]Research Assistant, IAI Lab., 2023.01~ [[br]]Software Convergence, Kyung Hee University[[br]]E-mail - augrb_at_khu.ac.kr||
||attachment:dhpark_new1.jpg?width=120||<width="80%">'''Donghyun PARK (박동현)''' (PhD, 2024.2)[[br]]융합기술원, 2024.3~[[br]]Ph.D., IAI Lab., 2019.9~2024.2 [[br]]M.S., IAI Lab., Kyung Hee University, 2019.8[[br]]Research Assistant, IAILab., 2017.4~8[[br]]B.S., Industrial Engineering, Kyung Hee University, 2017.8[[br]]E-mail - pdh_at_khu.ac.kr[[br]]'''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)[[br]]'''Doctoral Thesis''': Explainable Domain Generalization Techniques for Time Series Classification (시계열 분류를 위한 설명가능한 도메인 일반화 기법)||
##||attachment:jaehun.png?width=120||<width="100%">'''Jaehun PARK''' [[br]]Research Assistant, IAI Lab., 2022.03~2023.2 [[br]]Software Convergence, Kyung Hee University[[br]]E-mail - jhoon0823_at_khu.ac.kr||
##||attachment:shshin.jpg?width=120||<width="100%">'''Seungho SHIN''' [[br]]Research Assistant, IAI Lab., 2022.7~2023.2 [[br]]Software Convergence, Kyung Hee University[[br]]E-mail - ssh9918_at_khu.ac.kr||
##||attachment:dhkim2.jpg||<width="80%">'''Dohyun KIM''' [[br]]Research Assistant, IAI Lab., 2022.7~ [[br]]Industrial Engineering, Kyung Hee University[[br]]E-mail - rlaeh512_at_khu.ac.kr||
||attachment:hspark3.jpg?width=120||<width="80%">'''[https://cacaotree.github.io/ Hoonseok PARK]''' (PhD, 2022.8)[[br]]https://cacaotree.github.io/ [[br]]Samsung Elec. 2023.1~ [[br]]Ph.D., IAILab., 2022.8[[br]]M.S., IAI Lab., Kyung Hee University, 2018.2[[br]]B.S., Industrial Engineering, Kyung Hee University, 2016.2 [[br]]E-mail -hoonseok_at_khu.ac.kr [[br]]'''Doctoral Thesis''': Explainable Artificial Intelligence for Spatiotemporal Data Analysis [[br]]'''Master Thesis''': Frequent Pattern Discovery and Analysis from Multivariate Time Series in Manufacturing (다변량 제조 시계열 데이터의 규칙 발견 및 패턴 분석 연구)||
##||attachment:cej.jpg||<width="80%">'''Eunji Cho''' [[br]]Hyundai Motors, 2023.1~[[br]]Research Assistant, IAI Lab., 2022.01~2022.12 [[br]]Industrial Engineering, Kyung Hee University[[br]]Astronomy & Space Science, Kyung Hee University[[br]]E-mail - hfdhgfiy_at_khu.ac.kr||
||attachment:jmkim.jpg?width=120||<width="80%">'''Jimin KIM''' (MS, 2022.8)[[br]]M.S., IAI Lab., 2022.8 [[br]]Research Assistant, IAI Lab., 2019.3~ [[br]]B.S., Industrial Engineering, Kyung Hee University[[br]]E-mail - _at_khu.ac.kr[[br]]'''Master Thesis''': Hierarchical Deep Q-Networks 기반 SBS/RS 입고 정책 학습 (Learning Storage Policies for SBS/RS Using Hierarchical Deep Q-Network)||
||attachment:yr.jpg?width=120||<width="80%">'''Yuri HAN''' (MS, 2022.8)[[br]]M.S., IAI Lab., 2022.8 [[br]]B.S., Industrial Engineering, Myungji University[[br]]E-mail - youry6936_at_khu.ac.kr[[br]]'''Master Thesis''': Document Object Detection을 위한 비용-효율적 Active Transfer Learning 프레임워크 (Cost-efficient Active Transfer Learning Framework for Document Object Detection)||
||attachment:yhjoo2.jpg?width=120||<width="80%">'''Youngha JOO''' (MS, 2022.8)[[br]]M.S., IAI Lab., 2022.8 [[br]]B.S., Astronomy & Space Science, Kyung Hee University[[br]]E-mail - qmopla_at_khu.ac.kr[[br]]'''Master Thesis''': Traffic Flow Speed Prediction in Semiconductor Fab Using Temporal Graph Convolutional Networks (시간 그래프 합성곱 신경망을 이용한 반도체 팹의 반송흐름속도 예측)||
## ||attachment:ihkim4.jpg||<width="80%">'''Ik-Hwan KIM''' [[br]]SK Hynix, 2022.7~[[br]]Research Assistant, IAI Lab., 2021.10~2022.06 [[br]]Industrial Engineering, Kyung Hee University[[br]]E-mail - kani215_at_khu.ac.kr||
||attachment:Junmo_img.jpg?width=120||<width="80%">'''Junmo AN''' (MS, 2021.2)[[br]]금장, 2021.2~ [[br]]Master, IAI Lab., 2019.3~2021.2[[br]]Industrial Engineering, Kyung Hee University[[br]]E-mail - _at_khu.ac.kr[[br]]'''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)||
||attachment:jeee.jpg?width=120||<width="80%">'''Jeong-Eon AHN''' (MS, 2020)[[br]]Samsung Electronics, 2021.10~[[br]]HDC (현대산업개발), 2020.11~2021.9[[br]]M.S., IAI Lab., 2019.3~2020.8[[br]]Research Assistant at IAILab., 2018.3~2019.2[[br]]B.S., Industrial Engineering, Kyung Hee University[[br]]E-mail -jeongeon_at_khu.ac.kr[[br]]'''Master Thesis''': Development of an Ensemble Scheduler from Optimal Scheduling Solutions Using Machine Learning (머신러닝을 이용한 최적해로부터의 스케줄링 작업할당규칙 학습기법 개발)||
||attachment:josue_new4.jpg?width=120||<width="80%">'''[http://josue-obregon.com/ Josué Rodolfo OBREGON VELASQUEZ]''' (PhD, 2020.2)[[br]]http://josue-obregon.com [[br]]Assistant Professor, IE, SeoulTech, 2023.9~[[br]]Research Professor, IAILab., 2023.4~2023.7[[br]]Post-Doctor, IAILab., 2020.3~2023.3 [[br]] Ph.D., IAILab., 2020.2 [[br]]M.S., IAI Lab., Kyung Hee University, 2012.3~2014.2 [[br]]B.S., Science and Systems Engineering, San Carlos University, 2011[[br]]Research Interests - Machine learning explainability, fault detection [[br]]E-mail - jobregon_at_khu.ac.kr [[br]]'''Doctoral Thesis''': Machine learning interpretability of decision tree ensembles for imbalanced classification: Techniques and their visualization[[br]]'''Master Thesis''': Discovery of Users-Centric Hierarchical Process Models in Social Networking Services ||
- Publications . . . . 1 match
(Authors in '''bold''' indicate lab members, and asterisk * corresponding authors.)
1. Jae-Yoon Jung, '''Jinsung Lee''', '''Jihwan Jung''', Sang-Kuk Kim, and Dongmin Shin*, "A Methodology of Collaborative Performance Measurement for Manufacturing Collaboration", International Journal of Industrial Engineering- Theory, Applications and Practice, Vol. 19, No. 3, Mar 2012, pp. 149-160. [http://journals.sfu.ca/ijietap/index.php/ijie/article/view/592 link] [http://web.khu.ac.kr/~jung/paper/Jung_IJ_201203_IJIE.pdf pdf]
1. Jae-Yoon Jung, Kwanho Kim, Dongmin Shin, and Jonghun Park*, "FlowWiki: A Wiki Based Platform for Ad-hoc Collaborative Workflows", Knowledge-Based Systems, Vol. 24, No. 1, Feb 2011, pp. 154-165. [http://www.sciencedirect.com/science/article/pii/S0950705110001292 link] [http://web.khu.ac.kr/~jung/paper/Jung_IJ_201102_KBS.pdf pdf]
1. Joonsoo Bae, Backchul Kwon, Jae-Yoon Jung, Hyerim Bae, and Suk-Ho Kang, "A Method of Collaborative Process Design Comparing Workflow Model Components", International Journal of Computer Science and Network Security, Vol. 6, No. 8, Aug 2006, pp. 54-59.
1. Je-Yeon Oh, Jae-Yoon Jung, Nam Wook Cho, Hoontae Kim, and Suk-Ho Kang, "Integrated Process Modeling for Dynamic B2B Collaboration," Lecture Notes in Artificial Intelligence, Vol. 3683, Sep 2005, pp. 602-608.
1. Jae-Yoon Jung, Wonchang Hur, Suk-Ho Kang, and Hoontae Kim, "Business Process Choreography for B2B Collaboration", IEEE Internet Computing, Vol. 8, No. 1, Jan/Feb 2004, pp. 37-45. [http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=1260702 link] [http://web.khu.ac.kr/~jung/paper/Jung_IJ_200306_IEEEIC.pdf pdf]
1. Yonghun Lee, Jae-Yoon Jung, and Doug Young Suh, "Resource Management for Scalable Video Using Adaptive Bargaining Solution", In Proc. of International Conference on Multimedia, Computer Graphics and Broadcasting (MulGraB 2011), Dec 2011.
1. '''Aekyung Kim''', '''Kyuri Kim''', Jae-Yoon Jung, Dongmin Shin, and Bohyun Kim, "Business Process Warehouse for Manufacturing Collaboration", In Proc. of International Conference on Computers and Industrial Engineering (CIE 2011), Oct 2011.
1. '''JinSung Lee''', '''Hyunjin Kim''', Sang-Kuk Kim, Bohyun Kim, and Jae-Yoon Jung, "Service Modeling for Service Testing Laboratory", In Proc. of International Conference on Computers and Industrial Engineering (CIE 2011), Oct 2011.
1. '''Aekyung Kim''' and Jae-Yoon Jung, "Process Change Pattern Analysis in Collaborative Processes", In Proc. of the 2nd International Conference on Industrial Engineering and Operations Management (IEOM2011), Jan 2011.
1. '''JinSung Lee''', '''Ji Whan Jung''', Sang-Kuk Kim, Jae-Yoon Jung, "Developing Collaborative Key Performance Indicators for Manufacturing Collaboration", In Proc. of the 2nd International Conference on Industrial Engineering and Operations Management (IEOM2011), Jan 2011.
1. Je-Yeon Oh, Jae-Yoon Jung, Seung Kim, Nam Wook Cho, Hoontae Kim, and Suk-Ho Kang, "Integrated Process Modeling in Dynamic Collaboration Environments," In Proc. of the 18th International Conference on Production Research (ICPR 2005), Jul 2005.
1. Joonsoo Bae, Bak-Chul Kwon, Jae-Yoon Jung, and Suk-Ho Kang, "Workflow Collaboration Design Using Similarity Measures among Process Definitions", Review of the Korean Society for Internet Information, Vol. 6, No. 1, Mar 2005, pp. 52-61.
1. Hoontae Kim, Jae-Yoon Jung, and Suk-Ho Kang, "Extensible Collaborative Process Composition Using Workflow Inheritance", IE Interfaces, Dec 2003, Vol. 16, pp. 49-54.
1. Suk-Ho Kang, Hyung-Jun Kim, and Jae-Yoon Jung, "A Study on B2B Collaboration Processes Based on the ebXML Standard", Journal of Information and Operations Management, Vol. 12, No. 1, Aug 2002, pp. 1-9.
1. Hoontae Kim, Jae-Yoon Jung, and Suk-Ho Kang, "Extensible Collaborative Process Composition Using Workflow Inheritance", In Proc. of the Korean Institute of Industrial Engineers Conference (KIIE 2003), 2003.9.
1. Hoontae Kim, Taesoo Lim, Jae-Yoon Jung, and Suk-Ho Kang, "A Research on the Web Service Standards for Business Collaboration", In Proc. of the Korean CALS/EC Conference (Korean CALS/EC 2003) , 2003.9.
- Research . . . . 6 matches
##=== Working Papers of Lab Members ===
##||iMfg ||Process Warehouse for Manufacturing Collaboration||__김규리__, 김애경, 정재윤||EJIS||iMfg||
##||iMfg||Collaborative Process Change Patterns||__김애경__, 정재윤||IMDS||iMfg||
* sponsored by '''MOTIE''', collaborating with '''KITECH, POSTECH, ECMiner,''' and '''JihooSoft'''
* '''Overview''' : Smart factory means the advanced manufacturing environment in production and operations by embracing information and communication technologies (ICT) such as the Internet of Things (IoT), the cloud, cyber-physical systems (CPS) and big data analytics. In the smart factory of the future, the convergence of information technology and factory automation pursues the advanced manufacturing in most activities such as demand forecasting, production planning and control, scheduling, inventory and logistics management. We are developing smart factory systems and applications based on big manufacturing data, collaborating with KITECH and ECMiner. For example, several models for production quality analysis, such as classification models, prediction models, factor analysis, and pattern discovery, are being developed and implemented in form of a manufacturing data mining library.
* sponsored by '''MOTIE''', collaborating with '''Yonsei University''' and '''Soongsil University'''
attachment:BPM%20Lab./2_seoul_subway.jpg attachment:BPM%20Lab./seoul_subway2.jpg attachment:BPM%20Lab./seoul_conven3.jpg
* sponsored by '''NRF''', collaborating with '''KU Lueven (Belgium)'''
* '''i-Manufacturing: Process Innovation for Manufacturing Collaboration''', 2010.3~2013.8 (funded by MKE:지식경제부).
* '''Overview''' : Collaborative companies in supply chain network (e.g. automobile and ship manufacturing networks) require seamless process integration and process innovation of their business collaboration. This project focuses on the design of manufacturing collaboration process and the performance measurement of whole collaborative processes. In particular, ''our team conducts the studies on process intelligence for manufacturing collaboration by using data mining and process mining techniques''.
* '''s-Scape: The Innovative Service Laboratory for Service Testing''', 2010.4~2015.3 (funded by MKE:지식경제부).
* '''Overview''' : The importance of service industries is growing as the portion of the service sector increases fast in the recent decade. While products are generally tested with their prototypes in the stage of the new product development, services cannot be tested because of their well-known characteristics of services: IHIP (Intangibility, Heterogeneity, Inseparability, and Perishability). The proposed service laboratory, named s-Scape, is going to be implemented to enable testing the new services just as new products. ''The role of our team is to develop a service process modeling methodology including the BPML-like service prototype diagram (SPD) and the executable process prototype description language (SPDL)''.
* '''Keywords''' : '''''service process''''', service science, service laboratory, virtual reality
[https://www.google.co.kr/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&cad=rja&uact=8&ved=0CDAQFjACahUKEwinz6fs_p3IAhWEjJQKHcxhDMg&url=http%3A%2F%2Fwww.usc.edu%2Fdept%2Fise%2Fcaie%2FChecked%2520Papers%2520%5Bruhi%252012th%2520sept%5D%2Fword%2520format%2520papers%2FREGISTRATION%2520PAID%2520PAPERS%2520FOR%2520PROCEEDINGS%2Fpdf%2F174%252014%2520SERVICE%2520MODELING%2520FOR%2520SERVICE%2520TESTING%2520LABORATORY.pdf&usg=AFQjCNF1V1yPbR1EcLN7LGGyB8XEhUkeZA&sig2=88z0r9eFN7qDqQ_hRmMYJw "Service Modeling for Service Testing Laboratory", In Proc. of CIE 2011]
* '''Collaborative Process Modeling and Analysis in Supply Chain''', 2009.3~2010.2 (funded by KITECH:한국생산기술연구원).
Collaborative companies in supply chain, such as automobile and ship manufacturing networks, require seamless integration of their business processes. The project proposes the design of collaborative manufacturing processes and the performance measurement of overall collaborative processes.
- Seminar . . . . 2 matches
==== 2012 Summer Lab Seminar ====
==== Lab Seminar ====
- Seminar09 . . . . 1 match
PAIS ch3(Person-to-Person Processes: Computer-Supported Collaborate Work) : 김규리
BPMLab 소개자료 발표: 오규협
- Seminars . . . . 12 matches
* Domain generalization without domain labeling : 2월 중에 구현 및 실험
* Lab Seminar
* Lab Seminar (아래 발표 1명 + 논문 현황 1명)
==== 2022 Fall Lab Seminar ====
==== 2022 Summer Lab Seminar ====
* 3명 실험 데이터 및 소스 코드: 김지민 PC로 이전. 일정: 지민 PC 정리 및 공용계정(iailab) 생성 (~8/8), 유리/영하 코드 및 데이터 이전(~8/15), 유리/영하 PC 정리(~8/17)
* Lab meeting
* '''Lab Seminar Plan'''
* 서현 : Decision mining with BBN. refer two papers of our lab.
* '''Lab Seminar (every THU 15pm)'''
* Lab meeting
* Hoonseok : SAX+Association Rule(Sequential Rule)+Defect/Fault(Labeling), Pazen, Deep Learning ... for PHM
* Hoonseok : SAX+Association Rule(Sequential Rule)+Defect/Fault(Labeling), Pazen, Deep Learning ... for PHM
* '''Lab Seminar'''
* Non-available time
==== Lab Seminar ====
- meeting . . . . 27 matches
=== Lab Seminar & Meeting Schedule ===
==== 2016 Fall Lab Meeting - Nov. 9 (Wed) 6:30pm ====
* AP-BPM 2016 Symposium (Nov. 23 from morning. online presentation and discussion on collaborative research)
==== 2016 Fall Lab Meeting - Nov. 1 (Tue) 7:00pm ====
* AP-BPM 2016 Symposium (Nov. 23 from morning. online presentation and discussion on collaborative research)
==== 2016 Fall Lab Meeting - Oct. 26 (Wed) 7:00pm ====
1. '''Lab Seminar'''
==== Lab Seminar (10:30-12:00am, Friday) ====
=== 18th Lab Meeting - 8/14/2014 (Thu) 1:00 ===
- Josue: 1)Facebook paper, 2) Collaboration with Beligium
=== 17th Lab Meeting - 8/7/2014 (Thu) 1:00 ===
=== 16th Lab Meeting - 7/31/2014 (Thu) 1:00 ===
=== 15th Lab Meeting - 7/17/2014 (Thu) 1:00 ===
=== 14th Lab Meeting - 7/10/2014 (Thu) 1:00 ===
=== 13th Lab Meeting - 7/3/2014 (Thu) 1:00 ===
=== 12th Lab Meeting - 6/19/2014 (Thu) 1:00 ===
- 방학동안 Weekly Report (WR) 매주 수요일 제출, 매주 목요일 Lab Meeting.
(Weekly Report by every Wed., Lab Meeting on every Thu.)
=== 11th Lab Meeting - 6/19/2014 (Thu) 1:00 ===
=== 10th Lab Meeting - 6/5/2014 (Thu) 1:00 ===
- member_temp . . . . 10 matches
||attachment:Members/josue_new.png||<width="80%">'''[https://sites.google.com/site/josue1212/ Josué Rodolfo OBREGON VELASQUEZ]'''[[br]]Ph.D. candidate(6), IAI Lab., 2014.3~ [[br]]M.S., IAI Lab., Kyung Hee University, 2012.3~2014.2 [[br]]B.S., Science and Systems Engineering, San Carlos University, 2011[[br]]Research Interests - Deep Learning, machine learning, fault detection [[br]]https://sites.google.com/site/josue1212/ [[br]]'''Master Thesis''': Discovery of Users-Centric Hierarchical Process Models in Social Networking Services||
||attachment:Members/dhpark_new1.jpg||<width="80%">'''[https:// Donghyun PARK]''' [[br]]Ph.D. student(1), IAI Lab., 2019.9~ [[br]]M.S., IAI Lab., Kyung Hee University, 2019.8[[br]]Research Assistant at IAILab., 2017.4~8[[br]]B.S., Industrial Engineering, Kyung Hee University, 2017.8[[br]]E-mail - pdh@khu.ac.kr[[br]]'''Master Thesis''': Diagnosis of Machine Tool Wear Using Real-Time Object Detection Algorithms Based on Deep Learning||
- role . . . . 2 matches
* Lab Seminar & Study 운영 : ?
* Facebook 및 IAI Homepage 관리 : ?
- summer09 . . . . 1 match
=== BPM Lab. 방학 중 연구계획 ===
- wares . . . . 1 match
==== Laboratory Server ====
Found 18 matching pages out of 185 total pages
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