introduction/brief CV
Mohammed Rasheed Alrasheed is an Associate Professor of Mechanical Engineering at King Saud University in Riyadh, Saudi Arabia. His work sits at the intersection of thermal engineering, energy systems, and computational intelligence, with a focus on designing more efficient and sustainable thermal systems.
He received his B.S. in Mechanical Engineering from King Saud University, his M.S. degree from Carnegie Mellon University in Pittsburgh, PA, USA, and his Ph.D. from The University of British Columbia in Vancouver, BC, Canada.
Alrasheed’s research combines classical heat transfer and thermodynamics with modern optimization, artificial intelligence, and machine learning techniques. He develops computational frameworks to optimize thermal insulation systems, electronic cooling configurations, building envelopes, and solar-driven power and desalination systems. His work often uses evolutionary algorithms, multi-objective optimization, and data-driven models to support engineering design and decision-making.
He teaches courses in thermal-fluid systems, power plants, heat transfer, and energy efficiency, and supervises graduate and undergraduate students in topics related to advanced cooling technologies, energy optimization, and AI-assisted thermal system design.
areas of expertise
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Thermal engineering and heat transfer
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Thermal-fluid systems and power plant systems
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Optimization of thermal systems (evolutionary algorithms, multi-objective optimization, nonlinear optimization)
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Artificial intelligence and machine learning for thermal and energy systems
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Data-driven modeling, surrogate models, and digital-twin concepts in heat transfer and energy applications
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Neural networks and hybrid AI–optimization frameworks for design and control of thermal systems
Selected Publications
Alrasheed, M. R. A. (2025). Effective optimization strategies for abrasive water jet machining of glass–carbon fiber reinforced composites: A comparative study of evolutionary optimization techniques. Journal of Engineering Research, 13(3), 1682–1694.
Alrasheed, M. R. A. (2024). Optimizing the thickness of multilayer thermal insulation on different pipelines for minimizing overall cost-associated heat loss. Processes, 12(2).
Alrasheed, M. R. A. (2023). Optimizing the heat loss from an insulation material and boundary layer thickness of airflow through a hot plate using nonlinear least-squares error and linear programming algorithms. ACS Omega, 8(46), 44112–44120.
Alrasheed, M. R. A. (2023). Estimating optimal cost, insulation layer thickness, and structural layer thickness of different composite insulation external walls using computational methods. Buildings, 13(11).
Alrasheed, M. R. A. (2023). Efficient solutions for electronic chip cooling: Multi-objective optimization using evolutionary algorithms with boron nitride nanotube-based nanofluid. Processes, 11(10).
Kerme, E. D., Orfi, J., Al-Ansary, H., & Alrasheed, M. (2020). Energetic and exergetic performance analysis of a solar-driven power, desalination and cooling poly-generation system. Energy, 196.
publications
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courses
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The main objective of this course is to provide the student with thermal-fluid applications. This course aims at providing the students with design experience in the thermal-fluid area through…
Steam power plants – superheat, reheat and regeneration. Description and thermal analysis of the plant systems and components. Cooling towers. Condensers .Gas turbines Thermal…