Mohammed A. Awadallah

Papers

Total Citations

132

H-Index

About

Mohammed A. Awadallah is a leading researcher in the field of swarm intelligence and metaheuristic optimization, with a particular focus on the development and application of nature-inspired algorithms. His major contributions include comprehensive surveys and comparative analyses of emerging optimizers, most notably the Sparrow Search Algorithm (SSA) and the Bat Algorithm (BA). His highly cited 2023 work, "Recent Versions and Applications of Sparrow Search Algorithm" (95 citations), provides an essential roadmap for researchers by systematically reviewing SSA variants and their real-world applications in engineering, data mining, and energy systems. Similarly, his 2022 review of bat-inspired algorithms (37 citations) has become a foundational reference for those working on bio-inspired computation. Beyond these surveys, Awadallah has made significant contributions to hybrid optimization frameworks, often integrating swarm algorithms with local search techniques to solve complex, high-dimensional problems. His work is widely recognized for its clarity and practical impact, serving as a go-to resource for students and researchers seeking to understand the current state and future directions of metaheuristic optimization.