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Sameer Al-Dahidi

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Professor

King Fahd University of Petroleum and Minerals

Saudi Arabia

Research Interests

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Professors in Energy Engineering

Recent Grants

Grant: Close

Data-Driven Comprehensive Framework Towards Enhanced Decision-Making in Distributed Energy Systems in Jordan

Open Date: 2025-02-01

Close Date:

Grant: Close

Systematic Approach for the Performance Optimization of Off-Grid Solar Air Conditioning Systems in Different Climatic Zones

Open Date: 2025-01-01

Close Date:

Grant: Close

Machine and Deep Learning Techniques for Various Industrial Applications

Open Date: 2024-04-01

Close Date:

Grant: Close

Techno-Economic Assessment of EV Charging at Work

Open Date: 2024-01-01

Close Date:

Grant: Close

Machine Learning-Based Optimization of Tilt Angle for Solar Panels

Open Date: 2023-09-01

Close Date: 2024-11-01

Articles (20)

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2027

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2026

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2026

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2025

Collaborators (4)

Bilal Rinchi

Researcher

King Abdullah University of Science and Technology

SAUDI ARABIA

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Loiy Al-Ghussain

Argonne National Laboratory

UNITED STATES

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Michael Pecht

Distinguished Professor

University of Maryland

UNITED STATES

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Mohamed Arezki Mellal

Professor

University of Maryland at College Park

UNITED STATES

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ApplyKite TwinLearns as you apply

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Sameer Al-Dahidi

Research Interests

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Recent Grants

Articles (20)

Neural network-based framework for fatigue life prediction of natural rubber under thermo-oxidative preaging spectra

Effect of biogas-to-biomethane upgrading on power efficiency and emissions reduction in wastewater treatment plants

Renewable Pathways for Decarbonizing Wastewater Treatment Plants Worldwide

Geospatial techno-economic and life cycle assessment of renewable-powered direct air capture in Middle East and North Africa

Energy, economic, and environmental (3E) analysis of biogas generators waste heat recovery for sustainable cooling applications in wastewater treatment plants

Machine learning for district heating and cooling: A review of open problems and deployment barriers

Techno-economic optimization and life-cycle assessment of off-grid solar co-production of methanol, kerosene, and ammonia from captured CO2

Thermodynamic modeling, optimization, and techno-economic analysis of cryogenic cooling-distillation for hydrogen purification from biomass-derived syngas

Explainable degradation-aware techno-economic optimization of off-grid green hydrogen production

An Evolutionary Stacked Ensemble for Improving Accuracy and Computational Efficiency in Daily Photovoltaic Energy Prediction

Impact-Based Maintenance Efficiency Modeling for Multi-Component Systems With Condition-Based Component Selection

Integration of carbon capture technologies with renewable energy systems: Techno-economic, environmental, and policy perspectives toward global net-zero transition

Data-Driven Prediction of Photovoltaic System Efficiency: A Case Study of a Rooftop System in Jordan

Data-driven prediction of tensile strength and energy consumption in MEX using machine learning models

Critical buckling load prediction in tapered axially functionally graded nanobeams using machine learning under different boundary conditions

A bibliometric review of hydrogen fuel cell research: trends in safety, reliability, and performance analysis (2020–2024)

Comparative development of single- and multi-output ANN surrogates for predicting natural frequencies from Chebyshev spectral simulation

Multi-objective system availability and cost optimization under failure dependencies by MOENCOA and fuzzy decision method

Neural networks-based fatigue life prediction of natural rubber under combined preaging and temperature effects

Estimation of natural frequencies of tapered nonlocal AFG nanobeams using artificial neural networks

Collaborators (4)

Bilal Rinchi

Loiy Al-Ghussain

Michael Pecht

Mohamed Arezki Mellal

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