JY Jung
BPM Lab.
  Members  |  Research  |  Publications  |  Seminars  |  Gallery  |  History
c
e i

Professor Jae-Yoon Jung #

jung9.jpgAffiliation:
Professor, Industrial & Management Systems Engineering (IE), KHU, 2007.9~present
Adjunct Professor, Software Convergence (SWCon), KHU, 2017.3~present
Director, Smart Factory Program (SMI), KHU, 2017.3~present
Address:
1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of Korea
Tel: +82 31 201 2537 / E-mail: jyjung_at_khu.ac.kr
[http]http://iai.khu.ac.kr/wiki/wiki.php/JYJung
[http]http://web.khu.ac.kr/~jung
[http] 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 the department of software convergence (SWCon), KHU. He is currently the director of Graduate Program, IE and Smart Factory Program at 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.

Education #

  • Ph.D., Dept. of Industrial Engineering, Seoul National University, 2005
    (Thesis: Design and Analysis of B2B Collaborative Process Using Process Choreography and Workflow Clustering)
  • M.S., Dept. of Industrial Engineering, Seoul National University, 2001
    (Thesis: Development of Object-Oriented Workflow Management Systems Using Run-time Encapsulation)
  • B.S., Dept. of Industrial Engineering, Seoul National University, 1999

Professional Experience #

  • 2018.9 - present, Professor, Department of IE, KHU
  • 2018.2 - 2020.1, Graduate Program Director, Department of IE, KHU
  • 2017.3 - 2020.2, Director of Smart Factory Program, KHU
  • 2017.3 - present, Adjunctive Professor, Department of Software Convergence (SWCon), KHU
  • 2015.2 - 2018.1, Department Head, Department of IE, KHU
  • 2013.11 - 2014.8, Visiting Professor, Industrial & Systems Engineering, Georgia Institute of Technology
  • 2013.9 - 2018.8, Associate Professor, Department of IE, KHU
  • 2007.9 - 2013.8, Assistant Professor, Department of Industrial & Management Systems Engineering (IE), Kyung Hee University (KHU)

  • 2006.12 - 2007.8, Senior Researcher, u-Computing Innovation Center (uCIC), Seoul Metropolitan City
  • 2005.12 - 2006.11, Visiting Scholar, Process Mining Group, Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, The Netherlands
  • 2005.9 - 2005.11, Senior Researcher, Automation & Systems Research Institute (ASRI), Seoul National University

Memberships #

  • Member of IEEE (Institute of Electrical and Electronics Engineers)
  • Member of IEICE (Institute of Electrics, Information and Communication Engineers)
  • Member of [http]IEEE Task Force on Process Mining
  • Member of [http]EPTS (Event Process Technical Society)
  • Life member of KMIS (Korean Society of Management Information Systems)
  • Board member of SEBS (Society for e-Business Studies), 2010~present
  • Board member of KBDS (Korea Bigdata Society), 2013~present
  • Board member of KIIE (Korean Institute of Industrial Engineers), 2015~present
  • Board member of KASA (Korean Auto-Vehicle Safety Association), 2016~present

Academic Activities #

Honors and Awards #

  • Merit of Smart Manufacturing Industry, Award of Minister of Trade, Industry and Energy (MOTIE), 2019.
  • Award of President of Korea Smart Manufacturing Association, the 2st Smart Factory Excellent Paper Contest, 2019.
  • Award of President of Korea Electronics Technology Institute, the 2st Smart Factory Excellent Paper Contest, 2019.
  • Grand Prize (Award of President of Korea Institute of Industrial Technology), the 9th Industrial Convergence Paper Contest, 2019.
  • Best Paper Award, the 2019 Society for e-Business Studies Conference (SEBS 2019), 2019.
  • Award of President of Korea Smart Manufacturing Association, the 1st Smart Factory Excellent Paper Contest, 2018.
  • Award of President of Korea Smart Factory Foundation, the 1st Smart Factory Excellent Paper Contest, 2018.
  • Excellent Master’s Paper Award, the Korean Institute of Industrial Engineers Conference, 2018.
  • Best Paper Award, The 6th International Conference on Big Data Applications and Services (BigDAS 2018).
  • Best Paper Award, the 2018 Society for e-Business Studies Conference (SEBS 2018).
  • Best Paper Award, The 12th International Conference on Innovative Computing, Information and Control (ICICIC 2017)
  • Best Paper Award, 2016 Korea Big Data Society Conference.
  • Best Paper Award, 2015 Korean Enterprise Architecture Society Conference.
  • Best Master’s Paper Award, the Korean Institute of Industrial Engineers Conference, 2015.

Selected Publications #

  • 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) [http]link [http]pdf
  • Hoonseok Park and Jae-Yoon Jung*, "SAX-ARM: Deviated Event Pattern Discovery from Multivariate Time-Series Using Symbolic Aggregate Approximation and Association Rule Mining", Expert Systems with Applications, Vol. 141, Mar 2020, 112950. (SCIE, IF=5.452, 1.8%, OR/MS)
  • Josue Obregon, Aekyung Kim, and Jae-Yoon Jung*, "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
  • Josue Obregon, Minseok Song, and Jae-Yoon Jung*, "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
  • Aekyung Kim, Kyuhyup Oh, Jae-Yoon Jung*, and Bohyun Kim, "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
  • Donghyun Park, Seulgi Kim, Yelin An, Jae-Yoon Jung*, "LiReD: A Light-weight Real-Time Fault Detection System for Edge Computing Using LSTM Recurrent Neural Networks", Sensors, 18(7), Jun 2018, 2110, pages 1-15. (SCIE, IF=2.677, 16%, I&I) [http]link [http]pdf
  • Jinkyun Park, Jae-Yoon Jung, Gyunyoung Heo, Yochan Kim, Jaewhan Kim, and Jaehyun Cho, "Application of Process Mining Techniques to Identifying Information Navigation Characteristics of Human Operators Working in a Digital Main Control Room", Reliability Engineering and System Safety, Vol. 175, Jul 2018, pp. 38-50. (SCI, IF=3.153, 11%, OR/MS,IE) [https]link [https]pdf
  • Bitzel Cortez, Berny Carrera, Young-Jin Kim, and Jae-Yoon Jung*, "An Architecture for Emergency Event Prediction Using LSTM Recurrent Neural Networks", Expert Systems with Applications, Vol. 97, May 2018, pp. 315-324. (SCIE, IF=3.928, 3%, OR/MS) [http]link [https]pdf
  • Jinkyun Park, Jae-Yoon Jung, and Wondea Jung, "The Use of a Process Mining Technique to Characterize the Work Process of Main Control Room Crews: a Feasibility Study", Reliability Engineering & System Safety, Vol. 154, pp. 31-41, Oct 2016. [http]link [http]pdf
  • Kwanho Kim, Hyunjin Kim, Sang-Kuk Kim, and Jae-Yoon Jung*, "i-RM: An Intelligent Risk Management Framework based on Real-Time Context Awareness for Ubiquitous Cold Chain Logistics", Expert Systems with Applications, Vol. 46, Mar 2016, pp. 463-473. [http]link [http]pdf
  • Kwanho Kim, Kyuhyup Oh, Yeong Kyu Lee, SungHo Kim, and Jae-Yoon Jung*, "An Analysis on Movement Patterns between Zones Using Smart Card Data in Subway Networks", International Journal of Geographical Information Science, Vol. 28, No. 9, Sep 2014, pp. 1781-1801. [http]pdf
  • 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]pdf
  • Jae-Yoon Jung, Chang-Ho Chin, and Jorge Cardoso, "An Entropy-based Uncertainty Measure of Process Models", Information Processing Letters, Vol. 111, No. 3, Jan 2011, pp. 135-141. [http]pdf
  • Jae-Yoon Jung, Joonsoo Bae, and Ling Liu, "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
  • Jae-Yoon Jung, Jonghun Park, Seung-Kyun Han, and Kangchan Lee, "An ECA-based Framework for Decentralized Coordination of Ubiquitous Web Services", Information and Software Technology, Vol. 49, No. 11, Nov 2007, pp. 1141-1161. [http]pdf
  • 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]pdf

    [http]Full list of publications


EditText  |  FindPage  |  DeletePage  |  LikePages
Powered by MoniWiki
xhtml1 | css2 | rss
Last modified 2021-01-05 14:47:35
Loading 0.1252 sec