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Yoonsik Jung is a Direct Ph.D Student in Industrial and Management Engineering, Korea University. His research interests are Mathematical Optimization, Operations Research, Smart Manufacturig, and Machine Learning.

Research Interests

Mathematical Optimization & Operations Research

Using mathematical modeling and (meta-)heuristics, he designed a scheduling algorithm to minimize the ratio of work in process on the battery formation facility[C3][C6].

Smart Manufacturing & Machine Learning

He predicted a wearing of machining tools, especially applying deep learning methods and signal decomposition processes such as Fourier transform and wavelet transform[C4][C6]. He also developed the interpretable machine learning model to predict churn of MMORPG(Massively Multiplayer Online Role-Playing Game) users. Furthermore, he proposed the integer programming based promotion strategy to improve retention of action role playing game 'Blade and Soul' from NCSOFT[Award 2].

Conferences

  1. Yoonsik Jung, Hong Seo Ryoo, "Bipartite Graph for Logical Pattern Generation", 2023 Informs Annual Meeting, Pheonix, AZ, USA (Oct. 2023)
  2. 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)
  3. 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)
  4. Sun Kim, Hanjun Kwon, Yoonsik Jung, Jeongin Koo, "Design and Implementation of Machining Process Data preprocessing System", KSMTE Spring Conference 2020, Pyungchang, Korea(2020)
  5. Yoonsik Jung, Mingi Kang, Jeongin Koo, "A Study on the Tool Wear Estimation Using Discrete Wavelet Transformation and LSTM Networks", KSMPE 2020 Spring Conference, Pyungchang, Korea(2020)
  6. Yoonsik Jung, Jeongin Koo, "A Development on the Scheduling Algorithm for Automated Logistics in Battery Formation Production", The 25th Winter Conference of Society for Computational Design and Engineering, Pyungchang, Korea(2020)
  7. Jeongin Koo, Yoonsik Jung, Chanyong Kim, Dongil Kim, "A Study on the Toolwear Estimation Model based on the Machine Learning", KSPE 2019 Fall Conference , Changwon, Korea(2019)

Awards

  1. Matlab AI Student Challenge, 3rd Prize, The MahtWorks 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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