- Adjunct Assistant Professor, Electrical & Computer Engineering
- Affiliated Faculty, Institute for Quantum Science and Engineering (IQSE) at Texas A&M
- Phone: (979) 422-4030
- Email: mohamed.massaoudi@tamu.edu
- Research Website
Research Interests
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- AI and machine learning for cyber-physical systems
- Smart grid cybersecurity and resilience
- Deep learning for power system stability
- Large Language Models and Generative AI
- Reinforcement learning for autonomous grid control
- Renewable energy integration
- Federated learning for energy systems
Awards & Honors
- Thomas W. Powell '62 and Powell Industries Inc. Fellowship, Texas A&M University, 2024
- Richard E. Ewing Award for Excellence, Texas A&M University at Qatar, 2024
- Second Prize Paper Award, IEEE Industry Applications Society, 2024
- Best Presentation Recognition, IEEE IECON Conference, 2024
- Outstanding Research Excellence Award, Texas A&M University at Qatar, 2020
Selected Publications
- Massaoudi, M., Haque, K. A., Davis, K. R., et al. “Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks.” IEEE Open Journal of Industry Applications, 2024.
- 2. Massaoudi, M., Abu-Rub, H., Ghrayeb, A. “FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults.” IEEE Open Journal of Industry Applications, 2024.
- 3. Ez Eddin, M., Massaoudi, M., Abu-Rub, H., Shadmand, M. “Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation.” IEEE Transactions on Power Systems, 2024.
- 4. Massaoudi, M., Abu-Rub, H., Refaat, S. S., et al. “Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects.” IEEE Access, 2021.
- 5. Massaoudi, M., Davis, K. R., Haque, K. A. “Analysis and Quantification of Demand Flexibility for Resilient Distribution Networks: A Systematic Review.” IEEE Access, 2025.