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  • Keio University / Leibniz University Hannover
  • Kanagawa, Japan / Hannover, Germany

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keisuke58/README.md

Hi, I'm Keisuke Nishioka

Double Degree — Keio University (M2) / Leibniz University Hannover (IKM)

Computational mechanics & ML researcher focused on structural health monitoring, multiscale modeling, and scientific machine learning.

Research Interests

  • GNN-based SHM — Debonding defect detection in CFRP/Al-Honeycomb rocket fairings (Payload_gnn)
  • Multiscale Bayesian Inference — Biofilm–FEM coupling via TMCMC & DeepONet surrogates (Tmcmc202601)
  • Virtual Element Methods — VEM for 2D/3D elasticity on polygonal/polyhedral meshes (VirtualElementMethods)

Tech Stack

Python PyTorch PyG JAX MATLAB Abaqus FEM GNN Bayesian Inference

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  1. Tmcmc202601 Tmcmc202601 Public

    Multiscale Bayesian framework bridging 5-species oral biofilm ecology and 3D FEM stress analysis via TMCMC, DeepONet surrogate (~100x speedup), and GNN-informed priors. 28x stiffness range, basin s…

    Python 1

  2. Payload_gnn Payload_gnn Public

    GNN-based Structural Health Monitoring for CFRP/Al-Honeycomb rocket fairing — debonding defect detection using Graph Neural Networks with FEM-generated datasets

    Python 1

  3. nishioka_cfrp_gnn nishioka_cfrp_gnn Public

    GNN-based CFRP defect localization framework — companion code for Frontiers in Materials 2025 (DOI: 10.3389/fmats.2025.1652484)

    Python