Publication
Coupled pressure and saturation prediction for two-phase flow in porous media using physics-informed neural networks (PINNs)
Jul 20, 2025 · Computer Methods in Applied Mechanics and Engineering · Citations: 23
Yerzhan Kenzhebek
@yerzhan
ML Researcher · Farabi University
Researcher with a PhD in Computer Science. I work on deep learning for scientific computing, physics-informed neural networks, and high-performance parallel and distributed computing, with applications in AI for energy.
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Featured
Publication
Using Machine Learning Methods for Oil Recovery Prediction
Jan 1, 2020 · ECMOR XVII · Citations: 8
Publication
Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset
Jul 10, 2024 · Energies · Citations: 6
Publication
Implementation of regression algorithms for oil recovery prediction
Apr 30, 2022 · Eastern-European Journal of Enterprise Technologies · Citations: 6
About
NVIDIA DLI Certified Instructor. With experience in research, teaching, and deploying ML models, I contribute to projects that bridge theory and real-world applications.