Research Interest
My research interests are in numerical optimization, differential geometry, physics-based simulation in computer graphics, and applying machine learning to solve their systems, including various simulations of deformable solids, fluids, and thermomechanical effects and non-linear/linear optimization for sparse matrices.
Publications
-
A Neural-preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions
-
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
-
Fiber-Dependent Approach for Fast Dynamic Character Animation
Blog
-
ぽよぽよ動くスタンプを作りたい [Shape Matching法]
Ayano Kaneda · Zenn, Dec 1, 2025. link
Invited Talks
- Deep Learning Approach to Approximate the Solution for Poisson Matrix. Scientific Computing and Machine Learning (SCML 2024), Kyoto, Japan, March 19–23, 2024. link
- A Deep Conjugate Direction Method for Iteratively Solving Linear Systems. Visual Computing (VC 2023), Tokyo, Japan, September 17–20, 2023. link
Seminars
- 深層学習を用いたポアソン方程式解法の近似アプローチについて RICOS Seminar #1, February 4, 2025. link
Awards
Workshop (Reviewed)
-
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
Ayano Kaneda, Osman Akar, David Hyde, Joseph Teran · International Congress on Industrial and Applied Mathematics 2023 (ICIAM 2023), August 20–25, 2023, Tokyo. link -
局所的な異方性と硬さを考慮した高速なキャラクタの二次動作生成の提案.
Ayano Kaneda, Tsukasa Fukusato, Yoshihiro Fukuhara, Takayuki Nakatsuka, Shigeo Morishima · Computer Entertainment Developers Conference 2017 (CEDEC2017), Yokohama, 2017. talk link
Workshop (Domestic, Unreviewed)
Research Support
- Jan 2020 – Aug 2020 (SGU): Top Global University Project: Waseda Goes Global - A Plan to Build a Worldwide Academic Network. link
- Aug 2019 – Dec 2019 (Ministry of Education, Japan): Tobitate ryugaku Japan project. link
- Jan 2018 – Mar 2018 (SGU): Top Global University Project: Waseda Goes Global - A Plan to Build a Worldwide Academic Network. link
Contact
Email: kintakosu0721[@]gmail.com
Google Scholar: scholar profile
CV: download PDF