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Yoonsik Jung is a Ph.D. candidate in Industrial and Management Engineering at Korea University. His research interests include mathematical optimization, operations research, smart manufacturing, and machine learning.

Research Interests

Mathematical Optimization & Operations Research

Leveraging mathematical modeling and meta-heuristic techniques, he has designed a scheduling algorithm aimed at minimizing the work‐in‐process ratio at battery formation facilities [C4][C7].

Smart Manufacturing & Machine Learning

He has applied deep learning methods along with signal decomposition techniques, such as Fourier and wavelet transforms, to predict tool wear in machining processes [C6][C8]. Additionally, he developed an interpretable machine learning model to predict churn among MMORPG users. Furthermore, he proposed an integer programming–based promotion strategy to enhance user retention for NCSOFT’s action role-playing game, Blade and Soul [Award 2].

Conferences

  1. Yoonsik Jung, Hong Seo Ryoo, Overcoming Spatial Feature Limitations in Image Classification through Convolutional Logical Analysis of Data”, 2024 INFORMS Annual Meeting, Seattle, WA, USA (Oct. 2024)
  2. Yoonsik Jung, Hong Seo Ryoo, “Bipartite Graph for Logical Pattern Generation”, 2023 INFORMS Annual Meeting, Phoenix, AZ, USA (Oct. 2023)
  3. Dongwoo Kang, Sunung Kim, Yoonsik Jung, Hong Seo Ryoo, “Generating Interpretable Patterns for Biomedical Image Classification”, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Virtual (Dec. 2021)
  4. Yoonsik Jung, Jeongin Koo, “A Scheduling Algorithm for Reducing Long-Term Work-In-Process Inventory in Battery Formation Process”, The 26th Winter Conference of Society for Computational Design and Engineering, Jeju, Korea (2020)
  5. Sun Kim, Hanjun Kwon, Yoonsik Jung, Jeongin Koo, “Design and Implementation of a Machining Process Data Preprocessing System”, KSMTE Spring Conference 2020, Pyungchang, Korea (2020)
  6. Yoonsik Jung, Mingi Kang, Jeongin Koo, “A Study on Tool Wear Estimation Using Discrete Wavelet Transformation and LSTM Networks”, KSMPE 2020 Spring Conference, Pyungchang, Korea (2020)
  7. Yoonsik Jung, Jeongin Koo, “A Development of a Scheduling Algorithm for Automated Logistics in Battery Formation Production”, The 25th Winter Conference of Society for Computational Design and Engineering, Pyungchang, Korea (2020)
  8. Jeongin Koo, Yoonsik Jung, Chanyong Kim, Dongil Kim, “A Study on the Toolwear Estimation Model Based on Machine Learning”, KSPE 2019 Fall Conference, Changwon, Korea (2019)

Awards

  1. Matlab AI Student Challenge, 3rd Prize, The MathWorks Korea, Korea (Oct. 2021)
  2. “게임 유저 이탈 예측 및 XAI 기반 초개인화 프로모션 제안”, Award of Merit, Industrial Engineering Project Competition, Korean Institute of Industrial Engineers, Korea (Nov. 2019)
  3. Computer Simulation Competition, Award of Distinction, The Korea Society for Simulation, Korea (Apr. 2019)
  4. “Development of Algorithms for Reducing Touch Error in Two-Thumb Text Entry on a Soft Keyboard”, Award of Merit, Ergonomics Capstone Design Award, Ergonomic Society of Korea, Korea (Nov. 2018)

Skills

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