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Yugo OGIO

Osaka University

Dept. of Mechanical Engineering

Graduate School of Engineering

Postdoctoral researcher

Profile

2016.4 - 2020.3 Bachelor course in Division of Materials and Manufacturing Science, School of Engineering, Osaka University

2020.4 - 2022.3 Master course in Dept. of Mechanical Engineering, Graduate School of Engineering, Osaka University

2022.4 - Ph.D. course in Dept. of Mechanical Engineering, Graduate School of Engineering, Osaka University

Publications

Journal

  1. Y. Ogio, Y. Minami, and M. Ishikawa: Grayscale image segmentation based on topological data analysis; Transactions of the Institute of Systems, Control and Information Engineers, Vol. 34, No. 9, pp. 243-250 (2021) (In Japanese)

  2. Y. Ogio, Y. Minami, and M. Ishikawa: A model-tuning approach to sampled-data dynamic quantizer design, Transactions of the Society of Instrument and Control Engineers, Vol. 59, No. 12, pp. 542-549 (2023) (In Japanese)​

  3. Y. Ogio, N. Tsubone, Y. Minami, and M. Ishikawa: A TDA-based performance analysis for neural networks with low-bit weights; Artificial Life and Robotics, Published

  4. Y. Ogio, Y. Minami, and M. Ishikawa: A model-tuning approach to switching-type dynamic quantizer design for nonlinear systems: International Journal of Control, Automation, and Systems, Vol. 23, No. 3, pp. 714-724 (2025)

International Conference

  1. Y. Ogio, Y. Minami, and M. Ishikawa: A design method of nominal models for uncertain systems; SICE Annual Conference (SICE AC 2021), Japan, Sep., (2021)

  2. Y. Ogio, Y. Minami, and M. Ishikawa: A controller design method for continuous-time and discrete-valued systems; SICE Annual Conference (SICE AC 2022), Japan, Sep., (2022)

  3. Y. Ogio, Y. Minami, and M. Ishikawa: Design of switching-type dynamic quantizers for continuous-time nonlinear dystems; IFAC World Congress, Japan, Jul., (2023)

  4. Y. Ogio, N. Tsubone, Y. Minami, and M. Ishikawa: A TDA-based performance analysis for quantized neural networks; AROB 29th 2024, Japan, Jan., (2024)

Domestic Conference

  1. 荻尾，南，石川：位相的データ解析を用いたコオロギの脳CT 画像のセグメンテーション；第 62 回自動制御連合講演会，北海道，2019 年 11 月

  2. 荻尾，南，石川：コントローラ設計に忖度するモデル構築；第63 回自動制御連合講演会，オンライン，2020 年 11 月

  3. 荻尾，南，石川：不確かさを有するシステムに対する設計モデルの一構成法；第 65 回システム制御情報学会研究発表講演会（SCI’21），オンライン，2021 年 5 月

  4. 荻尾，南，石川：離散値係数制御器の設計のための設計モデル；第 66 回システム制御情報学会研究発表講演会（SCI’22），京都，2022 年 5 月

Research Grant

  1. 立石科学技術振興財団研究助成 (C) (2022/4 - 2025/3)

  2. 次世代挑戦的研究者育成プロジェクト (2022/4 - 2024/3)

  3. 日本学術振興会 特別研究員 (DC2) (2024/4 - 2025/3)

Contact

#505 M4 2-1 Yamadaoka, Suita, Osaka 565-0871 Japan

y_ogio@eom.mech.eng.osaka-u.ac.jp

+81-6-6879-7267

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