Ammar Kamal Abasi

Mohamed bin Zayed University of Artificial Intelligence

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About

Ammar Kamal Abasi is a prominent researcher in the field of computational intelligence, with a primary focus on nature-inspired optimization algorithms, particularly the bat-inspired algorithm. His most-cited work, "Recent advances of bat-inspired algorithm, its versions and applications" (2022), has garnered 37 citations, serving as a comprehensive survey that systematically categorizes and analyzes the algorithm's evolution, variants, and real-world applications. Abasi's major contributions lie in advancing the theoretical understanding and practical deployment of swarm intelligence methods, demonstrating how bat algorithm modifications can solve complex engineering and data science problems. His research impact is evident in the growing adoption of these techniques across diverse domains, from feature selection to scheduling. Beyond this landmark paper, Abasi has contributed to the broader optimization community by exploring hybrid models and performance enhancements, making his work essential reading for students and researchers seeking to understand or apply bio-inspired computing. His achievements highlight a commitment to bridging algorithmic innovation with tangible problem-solving, solidifying his reputation as a key voice in modern metaheuristic research.