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About

Shaher Momani is a distinguished mathematician and applied scientist whose research bridges fractional calculus, fuzzy systems, and intelligent control theory. His work has made significant strides in developing advanced control strategies for complex nonlinear and robotic systems. Momani's most influential contribution, a fuzzy fractional order sliding mode controller for nonlinear systems (2009), has garnered over 230 citations, establishing him as a leading voice in combining fuzzy logic with fractional-order dynamics. His research on fractional PID controllers for robot manipulators demonstrates a consistent focus on optimizing control performance through bio-inspired algorithms such as Genetic Algorithms and Particle Swarm Optimization, work that has attracted considerable attention from the robotics and automation communities. More recently, Momani has expanded into numerical methods for fuzzy differential equations, proposing efficient iterative schemes for solving fuzzy linear and nonlinear systems — further broadening his interdisciplinary reach. Across his career, his publications have collectively accumulated hundreds of citations, reflecting their practical relevance and theoretical rigor. Students and researchers working at the intersection of fractional mathematics, fuzzy computation, and control engineering will find Momani's body of work an essential and inspiring reference.