Research
Computational geomechanics, physics-informed neural networks, and coupled hydro-thermo-mechanical modelling.
Yared W. Bekele
Research Scientist · Computational Geomechanics · PhD
I develop numerical methods and machine learning approaches for geotechnical engineering problems. My research focuses on coupled processes in porous media, physics-informed neural networks, and tools that bridge rigorous mechanics with practical engineering applications.
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Publications
Journal articles, conference papers, and technical reports on numerical methods and machine learning for geoscience.
Teaching
Course materials and resources for numerical methods, scientific programming, and geotechnical engineering.
Writing
Notes on computational methods, technology, and occasional reflections from research and practice.
Selected Publications
- Physics-informed deep learning for one-dimensional consolidation. Journal of Rock Mechanics and Geotechnical Engineering, 2021
- Mixed Method for Isogeometric Analysis of Coupled Flow and Deformation in Poroelastic Media. Applied Sciences, 2022
- Isogeometric analysis of THM coupled processes in ground freezing. Computers and Geotechnics, 2017
- Adaptive isogeometric finite element analysis of steady-state groundwater flow. Int. J. for Numerical and Analytical Methods in Geomechanics, 2016