Marwa Mekky Mohamed Abduallah Mohamed, MSc, MEng

Energy Systems Decision & Optimization Specialist

Energy systems professional specializing in decision support, system analysis, and optimization for complex energy systems. My work focuses on supporting planning and operational decisions in energy systems using system modeling, optimization, simulation, and decision support frameworks.

I work at the intersection of energy engineering, systems analysis, operations research, and data-driven decision support, with experience in energy system modeling, multi-objective optimization, and integrated energy systems. 

My experience spans system planning, feasibility studies, system integration, and optimization-based analysis for energy and industrial systems.

Interested in improving how complex energy systems are designed, integrated, and operated by combining engineering knowledge with analytical methods, optimization, and decision support approaches to enhance overall system value.

Particularly interested in energy systems planning, system operation optimization, decision support automation, and integrated multi-energy systems.

Publications:

Al-Ablani, B, Mekky, M, & Al-Ghimlas, N. Solar-hydrogen supply chain network design, Computers and Informatics, 2021, 1(2), 83-100.

Ali, A. M., Al-Ablani, B. A., Mekky, M., Al-Ghi̇mlas, N. & Alam, M. M. (2021). Risk assessment of bridge construction project through cost management phases. Journal of Industrial Engineering, International, 17(1), 42–51. https://doi.org/10.30495/jiei.2021.1922802.1098.

Fahmy, S. A. & Mekky, M. (2017). Solving the Multi-Layer Dynamic Facility Location-Allocation Design Problem in Supply Chain Networks Using SSP Algorithm. 2017 9th IEEE-GCC Conference and Exhibition (GCCCE). https://doi.org/10.1109/ieeegcc.2017.8448184.

Fahmy, S. A., Mekky, M. & Abdelmaguid, T. F. (2014). Multi-layer dynamic facility location-allocation in supply chain network design with inventory, and CODP positioning decisions. 2014 9th International Conference on Informatics and Systems. https://doi.org/10.1109/infos.2014.7036691.