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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, Hefei University of Technology.
  • 2014.4∼2016.3,       M.S., Information and Physical Sciences, Osaka University.
  • 2017.10∼2022.3,     Ph.D, Information and Physical Sciences, Osaka University.

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,　Labolatory for Life Integrated Fluid Engineering, 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

  • 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, and 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, and 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