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Lee-Jun-Hyuk-37/README.md

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Lee Jun Hyuk (이준혁) Profile

AI Development Specialist
Republic of Korea Navy
jmjh98@snu.ac.kr

Research Interests

Keywords: Sports Analytics, Sports Engineering, Biomechanics, AI, Data Science, Computer Vision, Nonlinear Dynamics

Passionate about leveraging state-of-the-art technologies to advance the sports industry, focusing on applying artificial intelligence to revolutionize analytics in invasion sports. I view AI as a “tool that embodies human intuition” and believe it holds the potential to overcome the unresolved challenges in this domain. Enthusiastic about extracting meaningful insights from complex data and dedicated to developing innovative and practical metrics that drive real-world impact.

Education

  • Seoul National University (Graduated Cum Laude)
    Bachelor of Sports Science
    Bachelor of Science in Artificial Intelligence

Publications

  • Effects of the kinematic variable, delay and data length on test-retest reliability of the maximal Lyapunov exponent of human walking.
    Royal Society Open Science, 2024 Link
  • Noise-robust estimation of the maximal Lyapunov Exponent based on state space reconstruction with principal components.
    Chaos, Solitons & Fractals, 2023 Link

Research Experiences

  • Sports Engineering Lab (Jul. 2020 - Aug. 2023)
    Research Intern

Work Experiences

  • Republic of Korea Navy (Sep. 2023 - Present)
    AI Development Specialist, Naval Intelligence Information System Group & Head Quarter Battalion
  • NCSOFT (Jan. 2023 - Feb. 2023)
    Intern, Recognition team, Vision AI Lab
  • Quve Seventeen (Oct. 2021 - Feb. 2022)
    AI Engineer, AI team

Activities

  • Seoul National University Ice Hockey Team Capitals
    Founder & Inaugural Captain
  • On The Sports
    Broadcasting team member
  • Daemyung Killer Whales (Jul. 2018 - Mar. 2019)
    Marketer

Pinned Loading

  1. SSRPC SSRPC Public

    Repository for STPDP and SSRPC

    Jupyter Notebook 3

  2. manu-mannattil/nolitsa manu-mannattil/nolitsa Public

    A Python module implementing some standard algorithms used in nonlinear time series analysis

    Python 176 46

  3. 2022-FIFA-World-Cup-Prediction-by-Deep-Learning 2022-FIFA-World-Cup-Prediction-by-Deep-Learning Public

    Jupyter Notebook 3

  4. tvcalib tvcalib Public

    Forked from MM4SPA/tvcalib

    Python 2