CV

Curriculum vitae.

Contact Information

Name Dongbin Kim
Email dongbin413 [at] snu.ac.kr

Summary

PhD student at Seoul National University focusing on deep learning and time series analysis, with growing interest in time series foundation models, time-series–language models, and Physical AI.

Education

  • 2023 - present

    Seoul, South Korea

    PhD
    Seoul National University
    Industrial Engineering
    • Advisor: Prof. Jaewook Lee
    • Research: deep learning, time series analysis
  • 2017 - 2023

    Seoul, South Korea

    BS
    Seoul National University
    Industrial Engineering

Publications

  • Kim, Dongbin, Shin, Geonwoo, Choi, Yujin, Park, Soyeon, & Lee, Jaewook (2026). A locally tokenized generative model for robust time-series watermarking. Advances in Neural Information Processing Systems, 39.
  • Kim, Dongbin, Lee, Seungyun, Shin, Geonwoo, & Lee, Jaewook (2026). Discretizing continuous time series for imputation with masked diffusion training. Advances in Neural Information Processing Systems, 39.
  • Kim, Dongbin, Park, Jinseong, Lee, Jaewook, & Kim, Hoki (2024). Are self-attentions effective for time series forecasting? Advances in Neural Information Processing Systems, 37, 114180–114209.
  • Kim, Dongbin, Park, Youngjoo, Jeong, Woojin, & Lee, Jaewook (2026). Local geometry attention for time series forecasting under realistic corruptions. In Proceedings of the 14th International Conference on Learning Representations.
  • Jeong, Woojin, Choi, Yujin, Kim, Dongbin, Park, Soyeon, & Lee, Jaewook (2026). Leveraging pathology co-occurrence for test-time adaptation in chest X-ray diagnosis. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2026 (pp. 326–336). Springer Nature Switzerland.
  • Kim, Dongbin, Lee, Jaewook, & Kim, Hoki (2026). Pattern-guided forecasting framework for metal price prediction with grouping decomposed series. Financial Innovation, 12(1), 45.
  • Choi, Yujin, Kim, Dongbin, & Lee, Jaewook (2025). Temporal consistency ensemble empirical mode decomposition for forecasting practical metal price. Engineering Applications of Artificial Intelligence, 158, 111490.

Patents

  • 2025
    Method and Apparatus for Training Artificial Intelligence Model for Time Series Forecasting, Method and Apparatus for Time Series Forecasting Using the Same
    Korean Intellectual Property Office (KIPO)

    Application No. 10-2025-0143602 (filed)

  • 2026
    Artificial Neural Network Learning Method and Device, and Attention Score Calculation Method and Device Using the Same
    Korean Intellectual Property Office (KIPO)

    Application No. 10-2026-0091982 (filed)

Projects

  • Local Geometry-Based Attention Mechanisms for Time Series Transformers

    Principal Investigator, Doctoral Student Research Grant, National Research Foundation of Korea (NRF)

  • Initial Input Quantity Recommendation System

    COSMAX — Project lead, model development and analysis

Teaching

  • Fall 2025

    Seoul, South Korea

    Lecturer
    • Sungkyunkwan University
    • Consumer Big Data Analysis (CON3032, 3 credits)
  • 2023 – 2026

    Seoul, South Korea

    Teaching Assistant
    • Advanced Expert Program in Big Data, AI & FinTech, Seoul National University
    • Machine Learning & Deep Learning (six semesters)
  • 2023 – 2025

    Seoul, South Korea

    Teaching Assistant
    • HD Hyundai–SNU AI Advanced Program
    • Nonlinear Time Series Analysis (three semesters)
  • 2023 – 2025

    Seoul, South Korea

    Teaching Assistant
    • Samsung Electronics Data Science Education
    • Linear Algebra & Optimization (four sessions)
  • 2024

    Seoul, South Korea

    Teaching Assistant
    • Korea Banking Institute Data Science Capability Enhancement Program
    • Mathematics and Statistical Analysis for Data Science (one session)

Awards

  • 2021–2022
    Merit-Based Scholarship (Undergraduate)
    Seoul National University

    Awarded for three semesters: Spring 2021, Fall 2021, Fall 2022.

  • 2023–2024
    Merit-Based Scholarship (Graduate, Integrated MS-PhD)
    Seoul National University

    Awarded for three semesters: Fall 2023, Spring 2024, Fall 2024.

  • 2026
    Best Poster Award
    SNU Industrial Engineering

    BK21 Research Poster Exhibition, Department of Industrial Engineering, Seoul National University (Spring 2026).

  • 2026
    Gold Reviewer Award
    ICML 2026

    Awarded to the top 25% of reviewers for the International Conference on Machine Learning (ICML) 2026.

  • 2026
    Yulchon AI Star Scholarship
    Yulchon Foundation

    Selected for the 2026 cohort by the AI Institute, Seoul National University (AIIS); supports graduate students in core AI research.