Iyad Abu Doush

American University of Kuwait, Yarmouk University

Papers

Total Citations

167

H-Index

About

Dr. Iyad Abu Doush is a leading researcher in the fields of swarm intelligence, metaheuristic optimization, and accessible computing. His major contributions include comprehensive surveys and analyses of nature-inspired algorithms, particularly the Sparrow Search Algorithm and the Bat-inspired Algorithm, which have become essential references for researchers developing novel optimization techniques. His 2023 paper on Sparrow Search Algorithm has garnered 95 citations, while his 2022 work on bat-inspired algorithms has been cited 37 times, demonstrating significant impact in the evolutionary computation community. Beyond optimization, Dr. Abu Doush has made notable contributions to web accessibility, designing a pioneering evaluation tool for Rich Internet Applications (RIA) in 2012, which has accumulated 35 citations and helped advance inclusive digital design. His work bridges theoretical algorithm development with practical applications, making him a valuable resource for students and researchers exploring intelligent optimization methods and accessible technology.