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College of Business Administration

Yuncheol Kang Associate Professor

Division of Business Administration/Department of Business Administration/ Graduate Program in System Health and Engineering/Big Data Analytics

강윤철 프로필 사진 
Yuncheol Kang is an assistant professor in Ewha School of Business at Ewha Womans University. He previously served as an associate dean of Graduate School of Data Science (2022-24). He is also affiliated to a joint program of Big Data Analytics in the graduate school of Ewha Womans University. He was an assistant professor in Industrial Engineering at Hongik University, Seoul, South Korea from 3/2016 to 2/2020. In 2014, he earned a Ph.D. in Industrial Engineering from Pennsylvania State University, where he also served as a postdoctoral research associate. He earned an M.S. in Industrial Engineering in 2004 from the Seoul National University. Between his M.S. and Ph.D. studies, he was a system designer at LG CNS, South Korea. He received a B.S. in Industrial Engineering from KAIST in 2002. His research interests include 1) decision-making theory and its applications, with an emphasis on sequential decision making on planning and scheduling problems in various manufacturing/service applications, and 2) business analytics and AI in industrial applications.
  • Department Chair, Big Data Analytics
  • Ewha-Shinsegae Building (Business) #419
  • 02-3277-4203

https://bigdataewha.github.io/

Research Record
  • A deep learning-based approach to a newsvendor problem considering uncertainty and time-varying costs Optimization Letters, 2024, v.18 no.9, 1963-1974
    SCIE Scopus dColl.
  • Circular economy of food: A secondary supply chain model on food waste management incorporating IoT based technology Journal of Cleaner Production, 2024, v.435, 140566
    SCIE Scopus dColl.
  • 다각적인 보상 함수를 고려한 Multi-Critic 강화학습에 관한 연구: 추천시스템으로의 적용 한국전자거래학회지, 2024, v.29 no.4, 167-183
    KCI dColl.
  • 데이터 길이 및 세분화에 따른수요 데이터별 최적의 분류모델 탐구 신산업경영저널, 2024, v.42 no.2, 119-136
    KCI dColl.
  • Intelligent charging and discharging of electric vehicles in a vehicle-to-grid system using a reinforcement learning-based approach Sustainable Energy, Grids and Networks, 2023, v.36, 101224
    SCIE Scopus dColl.
  • 법률 인공지능 연구 활성화를 위한 판례 데이터셋 자동 라벨링 및 BERT를 활용한 판례 유사성 분석 아시아태평양융합연구교류논문지, 2023, v.9 no.10, 95-109
    KCI dColl.
  • [학술지논문] Automated cryptocurrency trading approach using ensemble deep reinforcement learning: Learn to understand candlesticks EXPERT SYSTEMS WITH APPLICATIONS, 2024, v.237 no.121373 , 1-20
    SCIE
  • [학술지논문] Circular economy of food: A secondary supply chain model on food waste management incorporating IoT based technology JOURNAL OF CLEANER PRODUCTION, 2024, v.435 no.140556 , 1-14
    SCIE
  • [학술지논문] A Study on Multi-Critic Reinforcement Learning Considering Multifaceted Reward Functions: Application to Recommender Systems 한국전자거래학회지, 2024, v.29 no.4 , 167-183
    KCI
  • [학술지논문] Intelligent charging and discharging of electric vehicles in a vehicle-to-grid system using a reinforcement learning-based approach Sustainable Energy, Grids and Networks, 2023, v.36 no.- , 101224-101224
    SCIE
  • [학술지논문] Enhancing Legal AI Research: Automatic Labeling for Legal Precedents Datasets and Evaluating Case Similarity Using BERT 아시아태평양융합연구교류논문지, 2023, v.9 no.10 , 95-109
    KCI
  • [학술지논문] Securing Objectivity of Qualitative Assessment Results using Ordered Probit Model 한국전자거래학회지, 2022, v.27 no.1 , 81-94
    KCI
  • [학술지논문] A learning-based approach for dynamic freight brokerages with transfer and territory-based assignment COMPUTERS & INDUSTRIAL ENGINEERING, 2021, v.153 no.3 , 107042-107042
    SCIE
  • [학술지논문] Waste-to-energy supply chain management with energy feasibility condition JOURNAL OF CLEANER PRODUCTION, 2021, v.291 no.0 , 125231-125231
    SCIE
  • [학술지논문] Learning-based logistics planning and scheduling for crowdsourced parcel delivery COMPUTERS & INDUSTRIAL ENGINEERING, 2019, v.132 no.0 , 271-279
    SCIE
  • [학술지논문] Analysis of Accounts Receivable Aging Using Variable Order Markov Model 한국전자거래학회지, 2019, v.24 no.1 , 91-103
    KCI
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Courses

  • 2025-1st

    • Statistics for Business

    • Sequential Decision Making

      • Subject No G12816Class No 01
      • Year ( 3Credit , 3Hour) Fri 5~6 (SHINSEGAE304)
        • Syllabus(File)

    • Sequential Decision Making

      • Subject No G18459Class No 01
      • Year ( 3Credit , 3Hour) Fri 5~6 (SHINSEGAE304)
        • Syllabus(File)

    • Statistics for Business

      • Subject No B10001Class No 01
      • Year ( 1.5Credit , 1.5Hour) Thu 8~9 (SHINSEGAE-611)
      • Spring2
        • Syllabus(File)

    • Statistics for Business

      • Subject No B60001Class No 01
      • Year ( 1.5Credit , 1.5Hour) Thu 8~9 (SHINSEGAE-611)
      • Spring2
        • Syllabus(File)

    • Academic independent studyⅠ

      • Subject No BD0011Class No 01
      • Year ( 3Credit , 3Hour) Sat 1~6 (SHINSEGAE-602)
      • Spring

    • Qualitative Research Methods

      • Subject No BD0013Class No 01
      • Year ( 3Credit , 3Hour) Sat 4~6 (SHINSEGAE-602)
      • Spring
        • Syllabus(File)

    • Data Science Special Issues

      • Subject No IDS802Class No 01
      • Year ( 3Credit , 3Hour) Sat 2~2 (ECC-)
        • Syllabus(File)

  • 2024-2nd

    • Statistics for Business

    • Introduction to Business Data Analysis

      • Subject No 36179Class No 01
      • 3Year ( 3Credit , 3Hour) Mon 6~6 (SHINSEGAE209) , Wed 5~5 (SHINSEGAE209)
        • Syllabus(File)

    • Statistics for Business

      • Subject No B10001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Fall2
        • Syllabus(File)

    • Statistics for Business

      • Subject No B60001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Fall2
        • Syllabus(File)

    • Investigation research topics

      • Subject No BD0010Class No 01
      • Year ( 3Credit , 3Hour) Sat 1~6 (SHINSEGAE-606)
      • Fall
        • Syllabus(File)

  • 2024-1st

    • Statistics for Business

    • Sequential Decision Making

      • Subject No G12816Class No 01
      • Year ( 3Credit , 3Hour) Fri 5~6 (SHINSEGAE304)
        • Syllabus(File)

    • Sequential Decision Making

      • Subject No G18459Class No 01
      • Year ( 3Credit , 3Hour) Fri 5~6 (SHINSEGAE304)
        • Syllabus(File)

    • Statistics for Business

      • Subject No B10001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Spring2
        • Syllabus(File)

    • Statistics for Business

      • Subject No B60001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Spring2
        • Syllabus(File)

    • Data Science Special Issues

      • Subject No IDS802Class No 01
      • Year ( 3Credit , 3Hour) Sat 2~2 (ECC-)
        • Syllabus(File)

  • 2023-2nd

    • Statistics for Business

    • Introduction to Business Data Analysis 강의 계획서 상세보기

      • Subject No 36179Class No 01
      • 3Year ( 3Credit , 3Hour) Tue 5~5 (SHINSEGAE313) , Thu 6~6 (SHINSEGAE313)
        • Syllabus(File)

    • Statistics for Business

      • Subject No B10001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Fall2
        • Syllabus(File)

    • Statistics for Business

      • Subject No B60001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Fall2
        • Syllabus(File)

    • Data Science Seminar

      • Subject No IDS801Class No 01
      • Year ( 1.5Credit , 1.5Hour) Sat 6~7 (ECC-)
        • Syllabus(File)

    • Data Science Special Issues

      • Subject No IDS802Class No 01
      • Year ( 1.5Credit , 1.5Hour) Sat 5~5 (ECC-)
        • Syllabus(File)

    • Data Science Capstone Design

      • Subject No IDS901Class No 01
      • Year ( 3Credit , 3Hour) Sat 3~4 (ECC-)
        • Syllabus(File)

  • 2023-1st

    • Statistics for Business

    • Sequential Decision Making

      • Subject No G12816Class No 01
      • Year ( 3Credit , 3Hour) Fri 5~6 (SHINSEGAE304)
        • Syllabus(File)

    • Sequential Decision Making

      • Subject No G18459Class No 01
      • Year ( 3Credit , 3Hour) Fri 5~6 (SHINSEGAE304)
        • Syllabus(File)

    • Statistics for Business

      • Subject No B10001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Spring2
        • Syllabus(File)

    • Statistics for Business

      • Subject No B60001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Spring2
        • Syllabus(File)

    • Applied Machine Learning

      • Subject No B90004Class No 01
      • Year ( 3Credit , 3Hour) Sat 4~4 (ECC-)
      • Spring
        • Syllabus(File)

    • Applied Machine Learning

      • Subject No IDS104Class No 01
      • Year ( 3Credit , 3Hour) Sat 4~4 (ECC-)
        • Syllabus(File)

      • Subject No IDS110Class No 01
      • Year ( 3Credit , 3Hour) Sat 3~3 (ECC-)
        • Syllabus(File)

    • Data Science Seminar

      • Subject No IDS801Class No 01
      • Year ( 1.5Credit , 1.5Hour) Sat 6~7 (ECC-)
        • Syllabus(File)

  • 2022-2nd

    • Statistics for Business

    • Introduction to Business Data Analysis

      • Subject No 36179Class No 01
      • 3Year ( 3Credit , 3Hour) Mon 6~6 (SHINSEGAE) , Wed 5~5 (117)
        • Syllabus(File)

    • Statistics for Business

      • Subject No B10001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Fall2
        • Syllabus(File)

    • Statistics for Business

      • Subject No B60001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Fall2
        • Syllabus(File)

    • Applied Machine Learning

      • Subject No B90004Class No 01
      • Year ( 3Credit , 3Hour) Sat 4~4 (ECC-)
      • Fall
        • Syllabus(File)

    • Applied Machine Learning

      • Subject No IDS104Class No 01
      • Year ( 3Credit , 3Hour) Sat 4~4 (ECC-)
        • Syllabus(File)

    • Data Science Seminar

      • Subject No IDS801Class No 01
      • Year ( 1.5Credit , 1.5Hour) Sat 6~6 (ECC-)
        • Syllabus(File)

  • 2022-1st

    • Statistics for Business

      • Subject No 22233Class No 02
      • 1Year ( 3Credit , 3Hour) Tue 5~5 , Thu 6~6
        • Syllabus(File)

    • Sequential Decision Making

      • Subject No G12816Class No 01
      • Year ( 3Credit , 3Hour) Fri 5~6 (SHINSEGAE-304)
        • Syllabus(File)

    • Statistics for Business

      • Subject No B10001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Spring2
        • Syllabus(File)

    • Statistics for Business

      • Subject No B60001Class No 01
      • Year ( 1.5Credit , 1.5Hour)
      • Spring2
        • Syllabus(File)

    • Applied Machine Learning

      • Subject No IDS104Class No 01
      • Year ( 3Credit , 3Hour) Sat 4~4 (ECC-)
        • Syllabus(File)

    • Data Science Seminar

      • Subject No IDS801Class No 01
      • Year ( 1.5Credit , 1.5Hour) Sat 6~7 (ECC-)
        • Syllabus(File)
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Academic Background

The Pennsylvania State University Ph.D.(Industrial and Manufacturing Engineering)

Seoul Nat'l Univ. 공학석사(산업공학과)

Korea Advanced Institute of Science & Technology 공학사(산업공학과)

Work Experience

Associate Dean, The Graduate School of Data Science 2022-03-01 ~ 2024-01-31

LG CNS 2004-02-01 ~ 2007-08-31

List