CV

Contact Information

Name Yutaro Yamada
Professional Title Ph.D. Student in Information Science
Email yamada-yutaro-dw@ynu.jp
Location General Research Bldg., 79-7 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-0067

Education

  • 2026 - Current

    Yokohama, Japan

    Ph.D.
    Graduate School of Environment and Information Sciences, Yokohama National University
    Information Science
  • 2024 - 2026

    Yokohama, Japan

    Master
    Graduate School of Environment and Information Sciences, Yokohama National University
    Information Science
  • 2020 - 2024

    Yokohama, Japan

    Bachelor
    Yokohama National University
    Information Science

Awards

  • 2026
    FAN2026 Best Paper Award (FAN2026最優秀論文賞)
    September 11, 2026
    FAN2026 Organizing Committee

    Received the Best Paper Award for the paper “Evaluating Large Language Models on Black-Box Optimization Word Problems” (Black-Box Optimization Word Problems における大規模言語モデルの評価) presented at FAN 2026 (The 34th Intelligent System Symposium).

  • 2026
    EvoStar 2026 Outstanding Student
    April 10, 2026
    The SPECIES Society

    Recognized for the outstanding work presented in the paper “Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient” at EvoStar 2026.

  • 2026
    Dean's Award for Outstanding Research
    March 25, 2026
    Dean of the Graduate School of Environment and Information Sciences, Yokohama National University

    Awarded for outstanding achievements in academic research activities during the Master’s program.

  • 2026
    Silver Medal: The 4th Kusen (air combat) AI Challenge
    January 19, 2026
    SIGNATE

    Achieved a silver medal in the 4th Kusen AI Challenge (placed 8th out of 61 teams). The task in this competition was to develop an AI agent for fighter aircraft by reinforcement learning.

  • 2025
    Bronze Medal: NeurIPS 2025 - Google Code Golf Championship
    October 31, 2025
    Kaggle

    Achieved a bronze medal in the Google Code Golf Championship at NeurIPS 2025 (placed 88th out of 1,142 teams). The task in this competition was to write the shortest possible Python code that could correctly solve 400 problems in ARC-AGI-1 dataset.

Publications

Skills

Information Science (Master)
Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Black-box Optimization, Evolutionary Computation

Languages

Japanese : Native speaker
English : Working proficiency (TOEIC 900)