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Researchers

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.

OpenAlex
publications
21
citations
59
h-index
5
Publications per year
1
1
1
2
3
1
3
4
5
20182026

Publications21

  1. Coupled pressure and saturation prediction for two-phase flow in porous media using physics-informed neural networks (PINNs)

    Article · Computer Methods in Applied Mechanics and Engineering · with Samson Dawit Bekele

    232025

  2. Using Machine Learning Methods for Oil Recovery Prediction

    Talk · ECMOR XVII

    82020

  3. Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset

    Article · Energies · with Samson Dawit Bekele · Open access

    62024

  4. Implementation of regression algorithms for oil recovery prediction

    Article · Eastern-European Journal of Enterprise Technologies · PDF

    62022

  5. A Systematic Analysis of Physics-Informed Neural Networks for Two-Phase Flow with Capillarity: The Muskat–Leverett Problem

    Article · Applied Sciences · with Samson Dawit Bekele · PDF

    52025

  6. PHYSICS-INFORMED NEURAL NETWORKS FOR PREDICTING PRESSURE DISTRIBUTION IN POROUS MEDIA

    Article · Journal of problem in computer science and information technologies · Open access

    32023

  7. Performance and stability of physics-informed Kolmogorov-Arnold networks for two-phase transport in porous media: A comparative study with physics-informed neural networks

    Article · Results in Engineering · with Samson Dawit Bekele · Open access

    22025

  8. On the Effectiveness of Kolmogorov—Arnold Networks for Enhanced Oil Recovery Prediction in Polymer Flooding

    Talk · International Conference on Algorithms, Computing and Artificial Intelligence · with Samson Dawit Bekele

    22024

  9. Using Machine Learning Algorithms to Solve Polymer Flooding Problem

    Talk · ECMOR XVII

    22022

  10. Parallel implementation of Thomas algorithm for the 2D heat equation

    Article · Journal of Mathematics Mechanics and Computer Science · PDF

    22019

  11. Separating Artificial-Viscosity Annealing from the L-BFGS Viscosity in Physics-Informed Neural Networks for Two-Phase Flow

    Article · Big Data and Cognitive Computing · with Samson Dawit Bekele · Open access

    —2026

  12. Identifiability and Conditioning of Flux-Parameter Inversion for the Buckley–Leverett Equation

    Article · Mathematics · with Samson Dawit Bekele · Open access

    —2026

  13. Artificial-viscosity schedules for Buckley–Leverett PINNs: code and reproducibility archive

    Code · Zenodo · with Samson Dawit Bekele · Open access

    —2026

  14. Physics-Informed Neural Networks for Coupled Non-Isothermal Two-Phase Flow in Porous Media: Training Pathologies, Remedies, and the Role of Gradient Conflict

    Article · Machine Learning and Knowledge Extraction · with Samson Dawit Bekele · Open access

    —2026

  15. Reference dataset and MRST simulation script for "Entropy-Satisfying Physics-Informed Neural Networks for the Two-Dimensional Buckley–Leverett Equation"

    Dataset · Zenodo · with Samson Dawit Bekele · Open access

    —2026

  16. Efficiency of Parallel Machine Learning Algorithms on Multiprocessor and GPU Architectures

    Talk · Lecture notes in computer science

    —2025

  17. Predicting oil recovery factor using dense and cascade neural networks

    Article · Bulletin of the National Engineering Academy of the Republic of Kazakhstan · with Samson Dawit Bekele · PDF

    —2024

  18. Application of Physics-Informed Neural Networks to Solve Two-Phase Flow Model in Porous Media

    Talk · ECMOR XVII

    —2022

  19. PREDICTION OF OIL PRODUCTION USING PHYSICS-INFORMED NEURAL NETWORKS

    Article · Habaršy. Fizika-matematikalyķ ġylymdary seriâsy

    —2021

  20. DATA CLASSIFICATION TO OPTIMIZE OIL FIELD DEVELOPMENT

    Article · Вестник Алматинского университета энергетики и связи

    —2021

  21. Development of a hybrid parallel algorithm (MPI + OpenMP) for solving the Poisson equation

    Article · Journal of Mathematics Mechanics and Computer Science · PDF

    —2018