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Life is a chemical system that uses energy to keep itself from reaching chemical equilibrium.
Death is the moment when the system that maintains the far from equilibrium state ceases existence.

homepage_icon Welcome to Kang Zichen’s Homepage

康 子辰 (KANG ZICHEN)

General Information

Phd icon PhD, Information and Physical Sciences, Osaka University, 2022

homepage_icon blues0910@hotmail.com

https://github.com/blues0910

Education

  • 2007.9∼2011.6,       B.S., Applied mathematics, Faculty of Science, Hefei University of Technology.
  • 2014.4∼2016.3,       M.S., Department of Information and Physical Sciences, Graduate School of Information Science and Technology, The University of Osaka.
  • 2017.10∼2022.3,     Ph.D, Department of Information and Physical Sciences, Graduate School of Information Science and Technology, The University of Osaka.

Work Experience

  • 2016.4∼2017.9,      UI engineer, Seiko Epson Corporation.
  • 2018.4∼2022.2,      Teaching assistant for "Information Mathematical Science Seminar", Information and Physical Sciences, Osaka University.
  • 2022.7∼present,     Postdoctoral researcher, Faculty of Systems Science and Technology, Akita Prefectural University.

Project experience

Scholarship

  • 2019.4∼2020.3,      Monbukagakusho Honors Scholarship for Privately-Financed International Students

Papers

  • Inference of mechanical forces through 3D reconstruction of the closing motion in venus flytrap leaves
    Satoru Tsugawa, Hiroki Asakawa, Michiko Hirata, Tomonobu Nonoyama, Zichen Kang, Masatsugu Toyota & Hiraku Suda
    Scientific Report, 15, 24860 (2025).
  • Agent-based simulation of cortical microtubule band movement in arabidopsis zygotes
    Tomonobu Nonoyama, Zichen Kang, Hikari Matsumoto, Sakumi Nakagawa, Minako Ueda & Satoru Tsugawa
    Scientific Report, 15, 25787 (2025).
    日本経済新聞電子版に掲載された
  • Temporal changes in surface tension guide microtubule organization and accurate asymmetric division of Arabidopsis zygotes
    Zichen Kang, Sakumi Nakagawa, Hikari Matsumoto, Yukitaka Ishimoto, Tomonobu Nonoyama, Yuga Hanaki, Satoru Tsugawa & Minako Ueda
    (Nature Communications, submitted).
  • A viscoelastic-plastic deformation model of hemispherical tip growth in Arabidopsis zygotes
    Zichen Kang, Tomonobu Nonoyama, Yukitaka Ishimoto, Hikari Matsumoto, Sakumi Nakagawa, Minako Ueda & Satoru Tsugawa
    Quantitative Plant Biology, 2024;5:e13. doi:10.1017/qpb.2024.13
    秋田県大・東北大共同プレスリリース
    日本経済新聞電子版に掲載された
  • Coordinate Normalization of Live-Cell Imaging Data Reveals Growth Dynamics of the Arabidopsis Zygote
    Zichen Kang, Hikari Matsumoto, Tomonobu Nonoyama, Sakumi Nakagawa, Yukitaka Ishimoto, Satoru Tsugawa & Minako Ueda
    Plant & Cell Physiology, 64(11), pp. 1279-1288, pcad020 (2023).
    秋田県大・東北大共同プレスリリース
  • Personalized page-transition recommendation model based on contents and students' logs in digital textbooks
    Zichen Kang, Chengjiu Yin
    2023 International Conference on Artificial Intelligence and Education (ICAIE) (2023).
  • Optimizing input mask for maximum memory performance of time-delay reservoir subjected to state noise
    Zichen Kang, Sho Shirasaka & Hideyuki Suzuki
    Nonlinear Theory and Its Applications, IEICE, Vol. 12, No. 4, pp. 662-673 (2021).
  • Improving noise robustness of time-delay reservoir computing
    Zichen Kang
    PhD Thesis, Graduate School of Information Science and Technology, Osaka University, January 2022.
  • An individual-based succession model of competition and coexistence between grass and trees
    Zichen Kang
    Master's Thesis, Graduate School of Information Science and Technology, Osaka University, June 2016.

Presentations

  • Zichen Kang, Sakumi Nakagawa, Hikari Matsumoto, Yukitaka Ishimoto, Tomonobu Nonoyama, Yuga Hanaki, Satoru Tsugawa and Minako Ueda, Mechanical Feedback Mechanism in the Morphogenesis of Plant Zygotes, 2024JST-多細胞CREST領域会議(静岡県沼津市), 2024年12月.
  • 康子辰, 細胞輪郭データおよび粘弾塑性体モデルを基盤とした張力ー微小管相関の発見, 2024JST-多細胞CREST若手の会2024 (KKRホテル金沢), 2024年8月.
  • 康子辰, 機械学習による植物受精卵の力学パラメータ推定, 2024年度バイオメカニクス研究会(角館), 2024年9月19日.
  • 康子辰, 形態空間解析による植物細胞のかたちづくりの研究, ソフトバイオ研究会(角館公民館), 2023年11月1日.
  • 康子辰, 植物先端成長細胞の形態空間解析, MIMS研究集会（明治大学), 2023年9月13日.
  • 康子辰, 弾塑性変形モデルにおける形態-力学-変形の解析, 非平衡・多階層・複雑系研究会（早稲田大学), 2023年8月29日.
  • 康 子辰, 個体ベースモデルによる草と樹木の競争・共存に関する研究, ソフトバイオ研究会, 2022年11月17日.
  • Zichen Kang, “膨圧による先端成長モデルに基づく形状解析,” 非平衡・多階層・複雑研究会（秋田）, Aug. 2022.
  • Zichen Kang, Sho Shirasaka, and Hideyuki Suzuki, “Memory Capacity of Reservoir Computers based on Coupled Time-delay Systems,” Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications (NOLTA2020), pp. 263, Nov. 2020.
  • Zichen Kang, Sho Shirasaka, and Hideyuki Suzuki, “Prediction and Dynamical Reconstruction by Coupled Time-Delay Reservoirs,” OACIS symposium, Nov. 2019.
  • Zichen Kang, Sho Shirasaka, and Hideyuki Suzuki, “A reservoir computing model for associative memory,” OACIS symposium, Nov. 2018.

Funding