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BOSSzzy/README.md

Hey 👋, I'm BOSSzzy! Profile views counter

Geotechnical profile header

Glad to see you here!

I'm BOSSzzy, a geotechnical engineering researcher focused on computational methods for understanding and managing subsurface uncertainty. With a strong interest in approaches that are rigorous yet practical, I explore spatial variability, stochastic modelling, geological inversion, and reproducible scientific workflows.

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  • I’m currently at Beijing University of Technology (BJUT), Beijing

  • I’m currently exploring computational geotechnics, stochastic modelling, and uncertainty quantification

  • Ask me anything about random fields, geological inversion, and scientific computing

  • I work with Python, MATLAB, R, Fortran, MySQL, and Linux

  • Email bosszzy0824@gmail.com
Geotechnical research workstation with subsurface models and computational meshes

Languages and Tools

Python MATLAB R Fortran MySQL Linux GitHub

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Featured Work

Project Description Languages
Msource_BM Bayesian–Markov multi-source data fusion for geological stochastic inversion. Python · MATLAB · Fortran
Cholesky_Midpoint_RF Generation and benchmarking of two-dimensional Gaussian random fields on structured grids. MATLAB
FAS_RVT_RF_Liquefaction Seismic hazard assessment combining FAS-RVT, random field simulation, and liquefaction potential modelling. MATLAB · Python · Shell · PowerShell
pso-gm-bp-regression A numerical prediction framework integrating particle swarm optimization, grey modeling, and BP neural networks. MATLAB

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  1. pso-gm-bp-regression pso-gm-bp-regression Public

    A numerical prediction framework integrating particle swarm optimization, grey modeling, and BP neural networks.

    MATLAB 2

  2. Cholesky_Midpoint_RF Cholesky_Midpoint_RF Public

    Cholesky_Midpoint_RF is a MATLAB project for generating 2D Gaussian random fields on structured grids. It provides multiple covariance kernels, solver backends, visualization/export utilities, benc…

    MATLAB 1

  3. Msource_BM Msource_BM Public

    Multi source information fusion method based on Bayesian - Markov theory and its application in geological stochastic inversion

    Fortran 1