Samson Dawit Bekele
Machine Learning Research Engineer
I’m Samson, an ML research engineer interested in intelligence, causality, and reasoning. I research ML for physical systems and also build AI agents. CS Master’s student at KazNU.
- publications
- 19
- citations
- 64
- h-index
- 5
Publications19
- 232025
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
- 152024
Development of an Intelligent Video Surveillance System Based on YOLO Algorithm
Talk · IEEE International Conference on Smart Information Systems and Technologies
- 62024
Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset
Article · Energies · Open access
- 62023
Development and Evaluation of an Intelligent Control System for Sustainable and Efficient Energy Management
Article · WSEAS TRANSACTIONS ON ELECTRONICS · with Bibars Amangeldy, Nurdaulet Tasmurzayev · PDF
- 52025
A Systematic Analysis of Physics-Informed Neural Networks for Two-Phase Flow with Capillarity: The Muskat–Leverett Problem
Article · Applied Sciences · PDF
- 22025
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 · Open access
- 22024
On the Effectiveness of Kolmogorov—Arnold Networks for Enhanced Oil Recovery Prediction in Polymer Flooding
Talk · International Conference on Algorithms, Computing and Artificial Intelligence
- 22023
Development of an Intelligent Oil Field Management System based on Digital Twin and Machine Learning
Article · WSEAS TRANSACTIONS ON ELECTRONICS · with Nurdaulet Tasmurzayev, Bibars Amangeldy · PDF
- 22023
DIGITAL TWIN-BASED HVAC CONTROL FOR SMART BUILDING MANAGEMENT AND SUSTAINABILITY
Article · Journal of problem in computer science and information technologies · with Nurdaulet Tasmurzayev, Bibars Amangeldy · Open access
- 12023
Intelligent Control System for Efficient Energy Management in the Oil and Gas Industry
Talk · IEEE Asia-Pacific Conference on Computer Science and Data Engineering · with Nurdaulet Tasmurzayev, Bibars Amangeldy
- —2026
Separating Artificial-Viscosity Annealing from the L-BFGS Viscosity in Physics-Informed Neural Networks for Two-Phase Flow
Article · Big Data and Cognitive Computing · Open access
- —2026
Identifiability and Conditioning of Flux-Parameter Inversion for the Buckley–Leverett Equation
Article · Mathematics · Open access
- —2026
Artificial-viscosity schedules for Buckley–Leverett PINNs: code and reproducibility archive
Code · Zenodo · Open access
- —2026
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 · Open access
- —2026
Reference dataset and MRST simulation script for "Entropy-Satisfying Physics-Informed Neural Networks for the Two-Dimensional Buckley–Leverett Equation"
Dataset · Zenodo · Open access
- —2024
Predicting oil recovery factor using dense and cascade neural networks
Article · Bulletin of the National Engineering Academy of the Republic of Kazakhstan · PDF
- —2024
DEVELOPMENT OF A COMPREHENSIVE SOFTWARE SOLUTION FOR PROCESSING HIGH-SULFUR, COPPER-POOR CONCENTRATES IN THE COPPER SMELTING INDUSTRY
Article · Bulletin of Shakarim University Technical Sciences · PDF
- —2023
Intelligent Control System for Efficient Energy Management in the Oil and Gas Industry
Talk · International Conference on Sustainable Technology and Engineering · with Bibars Amangeldy, Nurdaulet Tasmurzayev
- —2023
Smart control system for optimal energy use in the oil and gas sector
Talk · with Nurdaulet Tasmurzayev, Bibars Amangeldy · PDF
