Faycal Znidi

Dr. Faycal Znidi is Assistant Professor of Electrical Engineering, specializing in power systems analysis and energy grid technologies. His research develops advanced clustering algorithms for grid stability and partitioning.

Research focuses on power system coherency detection, transient stability indices, intelligent islanding schemes, and renewable integration. Methodologies employ hierarchical clustering, spectral analysis, and synchronization coefficients to enhance grid resilience and fault management.

Recent publications address emerging challenges in sustainable energy systems, including perovskite solar cells, 3D graphene applications, and pandemic modeling. Educational contributions examine engineering pedagogy through comparative studies of capstone programs.