محمد بن رشيد الرشيد Mohammed Rasheed Alrasheed

• Thermal engineering and heat transfer
• Thermal-fluid systems and power plant systems
• Optimization of thermal systems (evolutionary optimization, multi-objective optimization, nonlinear optimization)
• Artificial Intelligence (AI) and Machine Learning (ML) for thermal and energy systems
• Data-driven modeling, surrogate models, and digital twin concepts in heat transfer and energy applications
• Neural networks and hybrid AI–optimization frameworks for design and control of thermal systems

أبرز الأبحاث المنشورة (مجلات محكّمة مختارة)

1. 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.
2. 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).
3. 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.
4. 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).
5. 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).
6. 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.