Mohammad Nadeem Khan

Majmaah University — Saudi Arabia

Engineering · Physical Sciences

16h-index817citations57works4.52yr avg
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Research Topics

Thermodynamic and Exergetic Analyses of Power and Cooling Systems(23), Advanced Thermodynamics and Statistical Mechanics(14), Advanced Thermodynamic Systems and Engines(11), Nanofluid Flow and Heat Transfer(8), Heat Transfer Mechanisms(8)

Publications57 total

Influence of Cattaneo-Christov radiative heat flux in magnetized flow performance of three different materials with variable constraints
Dynamics of Atmospheres and Oceans·2025· 4 cited
Cascaded heat recovery cycles with biomass gasification integration: Dragonfly algorithm-optimized techno-economic-environmental analysis for sustainable poly-generation
Case Studies in Thermal Engineering·2025Open Access
A solar-ocean-wind energy conversion system for power, hydrogen and freshwater production: Energy, exergy and exergoeconomic study and multi-criteria optimization
Renewable Energy·2025
Deep learning-based prediction of thermal-hydraulic and exergy performance in a novel bidirectional wavy absorber solar air heater
Renewable Energy·2025· 1 cited
Leveraging multi-effect energy utilization in a biomass-based system for H2 production and urban energy needs: 4E analysis and ANN-based grey wolf optimization
Energy·2025· 3 cited
Nanofluid and perforated twisted tape integration for enhancing heat transfer in double-tube heat exchangers
Journal of Thermal Analysis and Calorimetry·2025· 1 cited
Machine learning-aided optimal energy management of a Solar-to-X energy system based on hydrogen production/storage and CAES
International Journal of Hydrogen Energy·2025· 1 cited
Optimizing waste-to-energy conversion of banana peel biomass-based scheme using metaheuristic particle swarm optimization (PSO) algorithm
Energy·2025· 6 cited
Optimization of Ex/energy efficiencies in an integrated compressed air energy storage system (CAES) using machine learning algorithms: A multi-objective approach based on analysis of variance
Energy·2025· 3 cited
Artificial intelligence-powered study of a waste-to-energy system through optimization by regression-centered machine learning algorithms
Energy·2025· 13 cited
An advanced heat design-CO2 capture network for an oxy-biogas fuel combustion cycle combined with a CAES-based method for peak shaving: An artificial intelligent-driven optimization
Renewable Energy·2025· 12 cited
One system, three comforts: Techno-economic GA-based optimization of a solar power-driven to produce green H2/electricity/cooling/ hot water
Energy·2025· 1 cited
Solar-powered compact thermal energy storage system with rapid response time and rib-enhanced plate via techniques of CFD, ANN, and GA
Journal of Energy Storage·2024· 10 cited
Optimizing energy efficiency and emission reduction: Leveraging the power of machine learning in an integrated compressed air energy storage-solid oxide fuel cell system
Energy·2024· 10 cited
Environmental protection and sustainable waste-to-energy scheme through plastic waste gasification in a combined heat and power system
Process Safety and Environmental Protection·2024· 8 cited
Retraction notice to “Air cooled lithium-ion battery with cylindrical cell in phase change material filled cavity of different shapes” [J. Energy Storage 50 (2022) 104573]
Journal of Energy Storage·2024
Exergy-economic performance comparison of three organic flash cycles integrated with an LNG subsystem to produce electricity and sub-zero cooling
Applied Thermal Engineering·2024· 4 cited
Multi-objective optimization of a microchannel heat sink with a novel channel arrangement using artificial neural network and genetic algorithm
Case Studies in Thermal Engineering·2023· 26 citedOpen Access
Magnetohydrodynamics tangent hyperbolic nanofluid flow over an exponentially stretching sheet: Numerical investigation
Case Studies in Thermal Engineering·2023· 51 citedOpen Access
Air bottoming combined cycle performance analyses by the combined effect of variable parameters
Archive of Mechanical Engineering·2022· 4 citedOpen Access
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Frequent Co-authors

Iskander Tlili(8), Azher M. Abed(6), Fahad M. Alhomayani(5), Mohamed Shaban(4), Salem Alkhalaf(4), Ahmed Bilal Awan(3), Muhammad Zubair(3), Ali E. Anqi(3), Waqar A. Khan(3), M W Lucas(3), Sherzod Abdullaev(3), Fahad Alturise(3), Hind Albalawi(3), Ahmad Almadhor(3), Raymond Ghandour(3), Ibrahim M. Alarifi(3), Mohammad Rahimi‐Gorji(2), Hayder A. Dhahad(2), Sagr Alamri(2), Kamal Sharma(2)