- Acknowledgement . . . . 17 matches
* This work was supported by Korea Research Institute for defense Technology (KRIT) grant funded by the Korea government (DAPA) (V220023).
* This paper/research/work... was supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (P0017033, The Competency Development Program for Industry Specialist).
* This research was supported by the BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE, Korea) and the National Research Foundation of Korea (NRF).
* This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (Nos. 2017H1D8A2031138), and the Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (Advanced Training Program for Smart Factory, No. N0002429). It was also supported partially by the BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE) and NRF.
* This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the High-Potential Individuals Global Training Program)(No. 2020001560) supervised by the IITP(Institute for Information & Communications Technology Planning & Evaluation)
* This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korean government (MSIT) (Nos. 2017H1D8A2031138, 2019R1F1A1064125), and the Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (Advanced Training Program for Smart Factory, No. N0002429).
* This work was supported by the Korea Evaluation Institute of Industrial Technology (KEIT) grant funded by the Korean government (MOTIE) (No. 20008690), and the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2017H1D8A2031138).
* This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2017H1D8A2031138).
* This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1F1A1064125).
* This work was supported by the National Research Foundation of Korea(NRF) grant of MSIT (No. 2019R1F1A1064125) and the Advanced Training Program for Smart Factory of MOTIE/KIAT (No. N0002429).
* This work was supported by the Advanced Training Program for Smart Factory of MOTIE/KIAT (No. N0002429) and the National Research Foundation of Korea (NRF) grant of MSIT (No. 2019R1F1A1064125).
* This research was supported by the KIAT(Korea Institute for Advancement of Technology) grant funded by the Korea Government(MOTIE : Ministry of Trade Industry and Energy). (Advanced Training Program for Smart Factory, No. N0002429)
* This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2013R1A2A2A03014718).
* This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2012R1A1B4003505).
* This work was supported by the National Research Foundation of Korea (NRF) grant (No. 20110003560) and the Korea Research Foundation Grant (KRF-2008-331-D00709) funded by the Korea government (MEST).
* This work was supported by the u-Food system development program of the Korea Food Research Institute (KFRI).
- BPM Lab. . . . . 3 matches
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'''.
=== Ongoing Research Projects ===
* sponsored by '''NRF (National Research Foundation, 한국연구재단)'''
* '''Overview''' : The purpose of this research is to judge the proper operating procedure and develop the automatic operation algorithm for nuclear power plants, prove its effectiveness in conjunction with simulation model, and develop the shared platform which can be used for further development and comparison with objective metrics when multiple abnormal situations occur.
* '''Overview''' : Recently, product design is becoming more important to increase the competitiveness in their market. Although cognition and emotion are one of critical factors in product design, small and medium-sized enterprises have difficulty in reflecting and assessing the aspects of cognition and emotion by themselves. To deal with this problem, this research project is developing the product design support systems by incorporating the congnitive and emotional database. In this project, our team plays a role of developing the semantic web-based database to store the congnitive and emotional data.
* sponsored by '''NRF (National Research Foundation, 한국연구재단)'''
* '''Overview''' : In this research, ''we aim at developing reality mining models to understand individual's life and social mobility behaviors by analyzing regional big data''. Traditional approaches of social science intended to interpret macro social behaviors through statistical analysis, while the new approach of data science enables computational social science by analyzing raw big data related to human behaviors and understanding macro social behaviors. In this research, for the purpose of investigating location-based data, we will perform interdisciplinary studies by combining a variety of accessible open data to comprehend social phenomena.
- BigData . . . . 1 match
* Interfaces (2010) - The Analytics Movement: Implications for Operations Research [http://pubsonline.informs.org/doi/abs/10.1287/inte.1100.0502?journalCode=inte pdf]
* Davenport - Big Data in Big Companies [http://www.sas.com/resources/asset/Big-Data-in-Big-Companies.pdf SAS2013] [http://www.sas.com/content/dam/SAS/en_us/doc/research1/big-data-big-companies-executive-summary-106462.pdf summary]
* Business Process Analytics (zur Muehlen & Spiro, 201?) [https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEwQFjAA&url=http%3A%2F%2Fwww.researchgate.net%2Fpublication%2F226858154_Business_Process_Analytics%2Ffile%2F3deec5170e959cfcc0.pdf&ei=XrsAU6_BEoSiyAGGkoDYAw&usg=AFQjCNH3U2Vnsunf7FMogwYz5YcqH2Y6pQ&sig2=DNNsyEJHatH7MhQFWr0gEQ&bvm=bv.61535280,d.aWc pdf]
* Big Data in Logistics (White paper) [http://www.dhl.com/en/about_us/innovation/research_development/bigdata.html pdf]
- Courses . . . . 2 matches
Industry Collaboration Project Research I (graduate)
Industry Collaboration Project Research I (graduate)
- IAI Lab. . . . . 4 matches
* [https://www.elsevier.com/books/human-centered-artificial-intelligence/nam/978-0-323-85648-5 '''(Elsevier)''' Human-Centered Artificial Intelligence - Research and Applications]
== Ongoing Research Projects ==
* (BK21 Four)Sustainable Big Data New Business Leading Human Resources Education Research Group, 2020.9~2027.8, NRF/MOE.
##=== Government-Supported Research Projects ===
- JYJung . . . . 3 matches
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.
* 2006.12 - 2007.8, Senior Researcher, u-Computing Innovation Center, Seoul National University
* 2005.9 - 2005.11, Senior Researcher, Automation & Systems Research Institute (ASRI), Seoul National University
- Jae-YoonJung . . . . 4 matches
His research interests include BPM/Workflow, internet business, and ubiquitous services coordination.
2006.12 - 2007.8, Senior Researcher, u-Computing Innovation Center (uCIC), Seoul Metropolitan City
2005.9 - 2005.11, Senior Researcher, Automation & Systems Research Institute (ASRI), Seoul National University
2003.1 - 2003.8, Research Assistant (Lecture Support System), Engineering Computer Center, Seoul National University
- Links . . . . 1 match
<H4>Research Search Engines</H4>
- Members . . . . 41 matches
=== Post-Doc Researcher ===
||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: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://myoo-oong.github.io/ Myeong-Gu KANG (강명구)][[br]]''' [[br]]Research Assistant, IAI Lab., 2023.01~ [[br]]Industrial Engineering & 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]]Advanced Institute of Convergence Technology (차세대융합기술연구원), 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: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]]Upstage (업스테이지), 2023~[[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: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:jeee.jpg?width=120||<width="80%">'''Jeong-Eon AHN''' (MS, 2020)[[br]]Samsung Electronics (삼성전자), 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 ||
||attachment:mksim.jpg?width=120||<width="80%">'''Min Kyu SIM''' (Research Professor) [[br]]Assistant Professor, Industrial Engineering, Seoul National University of Science & Technology, 2019.9~ [[br]]Research Professor, Industrial Engineering, Kyung Hee University, 2018.3~2019.8[[br]]KB Asset Management Co., Ltd., 2017[[br]]Samsung Asset Management Co., Ltd., 2016[[br]]Ph.D., Industrial & Systems Engineering, Georgia Institute of Technology, 2015.6[[br]]M.S., Financial Mathematics, University of Chicago[[br]]B.S., Industrial Engineering, Seoul National University||
||attachment:11.jpg?width=120||<width="80%">'''Aekyung KIM''' (PhD, 2018)[[br]]Senior Researcher, Samsung Electronics (삼성전자), 2019.3~ [[br]]Post-Doctor, IAILab., 2018.9~2019.1 / Ph.D., IAILab., 2018.8 / M.S., IAI Lab., 2012.2 [[br]]Research assistant, IAI Lab., 2009.6~2010.8 [[br]]B.S., Industrial Engineering, Kyung Hee University, 2010.8 [[br]]Research Interests - Dynamic Process Patterns, Process Mining [[br]]E-mail -akim1007_at_khu.ac.kr[[br]]https://sites.google.com/site/akkim7979/ [[br]]'''Doctoral Thesis''': Ensemble-based Quality Classification and Deep Reinforcement Learning-based Production Scheduling (앙상블 기반 품질 분류 및 심층강화학습 기반 생산 스케줄링)[[br]]'''Master Thesis''': A Process Mining Technique for Performer Recommendation Using Decision Tree (의사결정나무 기반의 프로세스 마이닝을 이용한 업무 담당자 추천 기법)||
||attachment:berny_new.jpg?width=120||<width="80%">'''Berny Alfonso CARRERA GORDILLO (PhD, 2019)''' [[br]]Associate Instructor, University of Utah Asia Campus, 2024.8~ [[br]]Post-Doctor/Research Prof., Inchen National University, 2019.11~/2023.1~ [[br]]Ph.D., Industrial Engineering, Kyung Hee University, 2011.9~2019.2[[br]]M.S., Reengineering and Assurance Technologies, Galileo University, 2010 [[br]]M.S., Database Systems, Galileo University, 2010 [[br]]B.S., Computer Engineering, Galileo University, 2010[[br]]Research Interests - Business process optimization, Web Services, Social Networks [[br]]Hobby - Swimming, Read, Online Games [[br]]E-mail - bernyh2o_at_gmail.com[[br]]https://sites.google.com/site/bernyh2o/ [[br]] '''Doctoral Thesis''': Predictive and Descriptive Analytics for Smart Energy and Social Networks||
||attachment:yrahn.jpg?width=120||<width="80%">'''Yerin AHN'''(MS, 2019) [[br]]M.S., IAI Lab., 2017.3~2019.2[[br]]Research Assistant at BPMLab., 2016.10~2017.2[[br]]Industrial Engineering, Kyung Hee University[[br]]E-mail - [[br]] '''Master Thesis''': 순환신경망을 이용한 생산라인 AMHS 도달시간 예측 연구||
||attachment:sg7.jpg?width=120||<width="80%">'''Seul-Gi KIM''' (MS, 2019)[[br]] Researcher, SK주식회사 C&C, 2019.05~[[br]]Researcher, 포스코 ICT, 2018.11~2019.04 [[br]]M.S., IAI Lab., 2017.3~2019.2[[br]]Research Interests - BigData analytics, Machine Learning [[br]]Hobby - soccer [[br]]E-mail - super_man_at_sk.com [[br]] '''Master Thesis''': 단일 클래스 분류 기법을 이용한 진동 데이터 기반 시스템 고장 감지 분석: 마할라노비스 거리 기반 분류 기법을 중심으로||
##||attachment:win.jpg?width=120||<width="80%">'''Yeung-Yoon JUNG''' (RA, 2018) [[br]]Hyundae Motors, 2019.7~[[br]]Research Assistant at IAILab., 2016.3~2016.12, 2017.9~2018.4[[br]]Industrial Engineering, Kyung Hee University[[br]]E-mail - fedbook_at_naver.com||
||attachment:oh.jpg||<width="80%">'''KyuHyup OH''' (PhD, 2017)[[br]]Senior Researcher, KTL (Korea Testing Laboratory, 한국산업기술시험원), 2018.3~[[br]]Post-doc, IAILab., 2017.9~2018.2[[br]]MS-PhD student, IAILab.(7.5), 2010.3~2017.8[[br]]Research Assistant(2007.12~2010.2), BPMLab.[[br]]Dept. of Industrial Engineering, Kyung Hee University[[br]]Doctoral Thesis: Techniques and Applications of Classification and Clustering of Big Time-Series Data[[br]]Research Interests - Process Mining, Semantic Web, Web Security, Log Analysis [[br]]Hobby - Linux, Mac [[br]]E-mail - k8383_at_khu.ac.kr[[br]]'''Doctoral Thesis''': Techniques and Applications of Classification and Clustering of Big Time-Series Data (시계열 빅데이터 분류 및 클러스터링 기법과 응용)||
- Publications . . . . 13 matches
1. '''Berny Carrera''', '''Min Kyu Sim'''*, and Jae-Yoon Jung, "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://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]
1. '''YoungSuk Han''', Jae-Yoon Jung*, "Three-stage data-driven approach to fast and accurate job dispatching using learning-to-rank techniques", In Proc. of the 27th International Conference on Production Research (ICPR 2023), Cluj-Napoca, Romania, Jul. 23-28, 2023. (Ack: AIC)
1. '''Josue Obregon''', '''Aekyung Kim''', '''Hoonseok Park''', and Jae-Yoon Jung, "Identifying major defect causes from manufacturing data using decision rules: A case study", Poster in INFORMS Business Analytics & Operations Research (Analytics 2018), Apr 15-17, 2018.
1. '''Seohyun Choi, Aekyung Kim''', Dongmin Shin, and Jae-Yoon Jung, "Discovery of Information Diffusion Process Based on Bayesian Belief Networks in Social Network Services", Poster in INFORMS Business Analytics & Operations Research (Analytics 2015), Apr 2015.
1. '''Kyuhyup Oh, Hyunkoo Moon''', YeongKyu Lee, Sang-Kuk Kim, and Jae-Yoon Jung, "Developing a Public Transit Convenience Index Based on Smart Card Big Data", Poster in INFORMS Business Analytics & Operations Research (Analytics 2015), Apr 2015.
1. '''Jinsung Lee, Gwangjin Heo''', Sang-Kuk Kim, Jae-Yoon Jung, and Bohyun Kim, "A Framework for Operational Analytics Based on Process Mining", Poster in INFORMS Business Analytics & Operations Research (Analytics 2015), Apr 2015.
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. Je-Yeon Oh, Jae-Yoon Jung, Nam Wook Cho, Hoontae Kim, and Suk-Ho Kang, "Integrated Process Modeling in Dynamic B2B Environment", In Proc. of the Korean Operations Research and Management Science Society Conference (KORMS/KIIE 2005), 2005.5.
1. Hongpil Choi, Jae-Yoon Jung, Joonsoo Bae, and Suk-Ho Kang, "Product Design Using QFD and Axiomatic Design", In Proc. of the Korean Operations Research and Management Science Society Conference (KORMS/KIIE 2004), 2004.5.
1. Kwangsup Shin, Jae-Yoon Jung, Wookey Lee, and Suk-Ho Kang, "Ontology Map Development for Knowledge Management", In Proc. of the Korean Operations Research and Management Science Society Conference (KORMS/KIIE 2004), 2004.5.
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.
1. Jae-Yoon Jung, Hoontae Kim, and Suk-Ho Kang, "Experimental Analysis of Clustering of Various Product Models", In Proc. of the Korean Operations Research and Management Science Society & the Korean Institute of Industrial Engineers Joint Conference (KORMS/KIIE 2003), 2003.5.
1. Jae-Yoon Jung, Hyung-Jun Kim, Yeongho Kim, and Suk-Ho Kang, "Workflow Management Systems Supporting ebXML in B2B e-Commerce", In Proc. of the Korean Operations Research and Management Science Society Conference (KORMS 2001), 2001.10.
1. Jae-Yoon Jung, Yeongho Kim, and Suk-Ho Kang, "Development of Workflow Management Systems Using Run-time Encapsulation", In Proc. of the Korean Operations Research and Management Science Society Conference (KORMS 2000), 2000.10.
- Research . . . . 13 matches
=== Ongoing Research Projects ===
=== Past Research Projects ===
* '''Full title''' : Center of Fostering Next-Generation Engineering Researchers for the Future Clean SMART Energy Platform
* '''Overview''' : This program aims to cultivate the experts for smart factory. The master or doctoral students in industrial and management systems engineering, mechanical engineering, and computer engineering can join this program. They will take the course specialized in smart factory and conduct industry-academy research projects. The students can learn operational technology (demand forecasting, production planning and control, production quality analysis, scheduling, inventory and logistics management), manufacturing technology (additive manufacturing, production systems, manufacturing processes, industrial robots, prognostics and health management), and analytics technology (big data analytics, artificial intelligence, machine learning, data mining, process mining, computer vision, and time-series analysis).
* '''Research Trend and Future Development Plan for Smart RecurDyn''', 2017.7.1~2017.12.31, FunctionBay.
* '''Overview''' : The purpose of this research is to judge the proper operating procedure and develop the automatic operation algorithm for nuclear power plants, prove its effectiveness in conjunction with simulation model, and develop the shared platform which can be used for further development and comparison with objective metrics when multiple abnormal situations occur.
* '''Research and Business Development of Distribution/Logistics Support Technology Using Public Big Data in Gyeonggi''', 2016.3~2016.6, GSTEP.
* '''Overview''' : In this research, ''we aim at developing reality mining models to understand individual's life and social mobility behaviors by analyzing regional big data''. Traditional approaches of social science intended to interpret macro social behaviors through statistical analysis, while the new approach of data science enables computational social science by analyzing raw big data related to human behaviors and understanding macro social behaviors. In this research, for the purpose of investigating location-based data, we will perform interdisciplinary studies by combining a variety of accessible open data to comprehend social phenomena.
* sponsored by '''NRF (National Research Foundation, 한국연구재단)'''
* '''Overview''' : ''This research aims at developing real-time process mining and control systems for RFID and USN data''. Process mining is a research area of discovering knowledge from process log, and it includes extracting process models from log data of information systems, predicting process performance, and analyzing social network in organizational model. In this research, RFID/USN data is exploited for such process mining techniques, instead of log data in enterprise information systems. RFID/USN data can provide rich, but huge real-time event of physical objects such as humans, products, and locations.
* sponsored by '''KFRI (Korea Food Research Institute, 한국식품연구원)'''
=== Research Tools ===
=== Research Guide ===
* '''APA Style''' [https://researchguide.cau.ac.kr/citation/APA link]
=== Research Survey Sites (KHU account needed) ===
=== Research Document Formats ===
* '''Research Report Format v1.0''' attachment:Nickname_Report_2nd_20140407.zip
* '''Research Paper Outline Format v1.0''' attachment:Nickname_Outline_v1.0_20140625.zip
- Seminar10 . . . . 3 matches
==== Research Paper Seminar ====
* 8/23(Mon) : Research results - Kyuri, Jinsung, Kyuhyup, Pablo
* 8/30(Mon) : Research results - Aekyung, Chihyung, Hwanghyung, Minsook
- Seminars . . . . 18 matches
* Research stuff
* Research Progress
* SCI Paper Review [50 min] + Research Progress Report [50 min]
* 10/07 - (EEG Research)박훈석, 박동현
* 10/14 - (SCI)최서현, (Research)한영석
* 11/11 - (SCI)박동현, (Research)주영하
* 11/18 - (SCI)Josue, (Research)한유리
* 12/23 - (SCI)박훈석, (Research)최서현
* 12/30 - (SCI)김지민, (Research)박동현
* Electric Power Systems Research
* Research Papers
* Research Papers (개별논문)
* Research Projects
* Research papers
* Research Projects
* Research Papers
* Make a plan for research on smart energy or opinion dynamics
* Presentation : New topics (20min, hot topics such as Deep Learning, Driverless Car, O2O, etc.), Research Papers (30min: current research paper or new research plan, or summary of journal papers)
* 7/4 : Josue (Eng, Rule extraction research, 10:00~10:30), YY (스마트카드 분석결과 정리 발표 및 추후 확장분석 방향 논의, 10:30~11:00), , HS (Deep Learning 교육 요약발표1. 11:00~12:00)
* Research papers : YY(7/4, Kr), Josue(7/4, En), Bitzel(7/11, Eng), Berny(7/18, En), KH(7/25, Kr), AK(8/1, Kr), HS(8/8, Kr)
- lab . . . . 3 matches
* 산학협력단 연락처 : https://research.khu.ac.kr/html_2014/01/07.php
== Research Plan in 2021 ==
* GitHub for Smart Energy Research (Dataset, Code)
* Research Topic
* Sub-research topic
- mbo2012 . . . . 4 matches
|| Main Research Topic ||- Knowledge-Based Complex Event Processing ||
|| ||- Research about Knowledge-Based Complex Event Processing ||
|| Mar. ||- Research about Knowledge-Based Complex Event Processing || || ||
|| Apr. ||- Research about Knowledge-Based Complex Event Processing || || ||
- mbo2013 . . . . 1 match
* Project (SCOR, u-BPM, u-BPM new Research)
- mbo2014 . . . . 1 match
|| Summer Vacation ||- Research about new or extended topic for international journal paper ||
- mbo2021 . . . . 1 match
* 산학협력단 연락처 : https://research.khu.ac.kr/html_2014/01/07.php
== Research Plan in 2021 ==
- meeting . . . . 15 matches
* Research projects
* AP-BPM 2016 Symposium (Nov. 23 from morning. online presentation and discussion on collaborative research)
* Research projects
* AP-BPM 2016 Symposium (Nov. 23 from morning. online presentation and discussion on collaborative research)
- 양식: wiki/research 사이트에서 다운로드 (http://bpm.khu.ac.kr/wiki/wiki.php/Research)
- RRR (Regular Research Report) : AK, 현구, 진성 (o) / 규협, Josue, Berny (x)
- Regular research report: 간명하게.
1. Research Project
2. Research Papers
1. Research Project
1. Research Project
1. Research Project
2. Research Paper
1. Research Project
2. Research Paper
1. Research Project
2. Collaboration Research
3. Individual Research Paper
1. Status report of each research project : 10min
* self-checking your own research progresses
- member_temp . . . . 4 matches
=== Research Professor ===
||attachment:Members/mksim.jpg||<width="80%">'''[http:// Min Kyu SIM]''' [[br]]Research Professor, Industrial Engineering, Kyung Hee University, 2018.3~ [[br]]KB Asset Management Co., Ltd., 2017[[br]]Samsung Asset Management Co., Ltd., 2016[[br]]Ph.D., Industrial & Systems Engineering, Georgia Institute of Technology, 2015.6[[br]]M.S., Financial Mathematics, University of Chicago[[br]]B.S., Industrial Engineering, Seoul National University||
||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||
- service . . . . 2 matches
(the network of UK researchers interested in SSME)
(Service Research & Innovation Institute in IBM Almaden Research Center)
Found 21 matching pages out of 185 total pages
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