Main Interests and Competence

Machine Learning and AI: Developing machine learning models and generative AI assistants in geomechanics, particularly towards improving speed and accuracy for practical computational modelling problems
Computational Modeling: Applying advanced numerical methods in various application areas in computational science and engineering, mainly for coupled problems in geomechanics/poromechanics
Numerical Programming: Developing codes for professional research and hobby projects mainly based on Python and C++
Data Analysis and Visualization: Applying modern data analysis and visualisation tools and methods to engineering data for a better insight and content creation
Academics: Teaching and supervision. Giving lectures, particularly on computational modeling courses, and supervising/co-supervising undergraduate and graduate students

GitHub Repositories and GitHub Pages

GeoSim.AI - AI assistants for numerical simulations in geomechanics - a generative AI tool showing the potential of AI in enhancing productivity and efficiency through demonstration of slope stability analyses.
3D terrain generator - Python : 3D Terrain Generator
Isogeometric finite element codes for coupled problems in porous media - C++: IFEM
Porous media theory: https://yaredwb.github.io/PMT/
Physics-informed neural networks for one-dimensional consolidation: https://yaredwb.github.io/PINN-Consolidation1D-Paper/
Finite difference method in 2D: https://yaredwb.github.io/FDM2D/
Finte difference method in 1D: https://yaredwb.github.io/FDM1D/
Interactive web app for one-dimensional consolidation - Python: Cons1D

All GitHub repositories here

Visit my personal website at yaredwb.com