GeezerVison is showing github.com — BOSSzzy - Overview
Geotechnical Engineering Researcher @ BJUT | Seismic Hazard · PSHA · Random Fields · Scientific Computing
Hey 👋, I'm BOSSzzy!  
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
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I’m currently exploring computational geotechnics, stochastic modelling, and uncertainty quantification
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Ask me anything about random fields, geological inversion, and scientific computing
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I work with Python, MATLAB, R, Fortran, MySQL, and Linux
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| 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 |
| CoupledMarkov_Chains_DC |
Conditioned geological profile simulation using Coupled Markov Chains and cell-wise information entropy analysis. |
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 |
| Distribution-Inference |
Reproducible distribution fitting, model discrimination, and likelihood-based uncertainty quantification. |
Python · R · MATLAB · Fortran |
| MohrCoulomb-SimplexFit |
Inverse identification of Mohr–Coulomb shear-strength parameters from triaxial failure data using Nelder–Mead simplex optimization. |
Python |
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A numerical prediction framework integrating particle swarm optimization, grey modeling, and BP neural networks.
MATLAB
2
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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
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Multi source information fusion method based on Bayesian - Markov theory and its application in geological stochastic inversion
Fortran
1
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MATLAB implementation of Coupled Markov Chain geological profile simulation with CSV case inputs, conditioned boreholes, stochastic realizations, and entropy-based uncertainty mapping.
MATLAB
1
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Reproducible distribution fitting, model selection, and likelihood-based uncertainty quantification across Python, R, MATLAB, and Fortran.
Python
1
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Fit Mohr-Coulomb shear-strength parameters with a native Nelder-Mead optimizer.
Python
2
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