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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

PythonPyTorchPyGJAXMATLABAbaqusFEMGNNBayesian Inference

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  1. Payload_gnnPayload_gnnPublic

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

    Python 1

  2. nishioka_cfrp_gnnnishioka_cfrp_gnnPublic

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

    Python

  3. nife_internnife_internPublic

    NIFE internship: oral biofilm computational pipeline (NGS→MetaPhlAn→GEM→dFBA→COMETS)

    HTML 1

  4. wccm2026-cfrp-gnnwccm2026-cfrp-gnnPublic

    CFRP interstage (with holes) 3D defect localization via FEA + Graph Neural Network — WCCM/ECCOMAS 2026 (MS090E). Difference-normalized DSPSS, GAT/GATv2, NDT-constrained.

    Python 1