Best Researcher Award
Ahmad Sharieh is a computer scientist affiliated with the Computer Science Department at the University of Jordan. His scholarly work focuses on optimization techniques, metaheuristic algorithms, intelligent computing, and computational problem-solving methodologies. Through an extensive body of peer-reviewed publications and measurable citation impact, he has contributed to the advancement of optimization research and algorithmic development in computer science.[1]
Abstract
This article presents a scholarly overview of Ahmad Sharieh’s research activities, emphasizing his contributions to optimization using metaheuristic algorithms and computational intelligence. His work has addressed complex optimization problems through innovative algorithmic strategies that support efficient decision-making and advanced computational performance. The research portfolio demonstrates sustained academic productivity and influence within the broader computer science community.
Keywords
Metaheuristic Algorithms, Optimization, Computational Intelligence, Artificial Intelligence, Search Algorithms, Evolutionary Computing, Algorithm Design, Computer Science, Intelligent Systems, Operations Research.
Introduction
Optimization remains one of the most significant research domains in computer science, enabling the efficient resolution of complex computational and engineering problems. Researchers in this field develop methods capable of identifying high-quality solutions while minimizing computational resources. Ahmad Sharieh has contributed to this discipline through research focused on metaheuristic optimization frameworks and intelligent search methodologies that address real-world computational challenges.[2]
Research Contributions
Ahmad Sharieh’s research contributions encompass optimization methodologies, heuristic and metaheuristic algorithm design, intelligent search techniques, and computational problem-solving approaches. His studies have explored algorithmic efficiency and practical applications of optimization models across multiple domains, contributing to both theoretical understanding and practical implementation.
- Development of optimization frameworks for complex computational problems.
- Application of metaheuristic techniques for intelligent decision support.
Publications
The researcher’s publication record includes numerous peer-reviewed articles indexed in international scholarly databases. These publications address optimization techniques, intelligent systems, and algorithmic innovation. Representative works are reflected through citation records and indexing databases that document the impact of his contributions.[1][3]
Research Impact
Research impact can be assessed through publication output, citation activity, and scholarly influence. With 87 indexed documents, 1,637 citations, and an h-index of 19, Ahmad Sharieh demonstrates sustained academic engagement and measurable influence within optimization and computer science research communities.
Award Suitability
The Best Researcher Award recognizes individuals who demonstrate significant scholarly productivity, impactful research contributions, and sustained advancement of their discipline. Based on documented publication metrics, citation performance, and specialization in optimization using metaheuristic algorithms, Ahmad Sharieh aligns with the academic criteria typically considered for research excellence recognition. His contributions support the advancement of computational optimization and intelligent systems research.
Conclusion
Ahmad Sharieh’s scholarly profile reflects sustained contributions to optimization research and metaheuristic algorithm development. Through an extensive publication record and notable citation impact, his work contributes to ongoing advancements in computational intelligence and algorithmic problem solving. These achievements provide a strong academic foundation supporting recognition through the Best Researcher Award.
External Links
References
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- Elsevier. (n.d.). Scopus author details: Ahmad Sharieh, Author ID 57201986526. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57201986526
- Sharieh, A., Mosleh, H., & Abu Kabeer, T. (2026). Physics-Based Metaheuristic Optimization Algorithms for Pathfinding. Algorithms, 19(1), 12.
https://doi.org/10.3390/a19010012
- Sharieh, A., & Karajeh, H. (2025). A systematic survey of vision transformer-based autism detection using full-body movement data from augmented reality gameplay. Tikrit Journal of Engineering Sciences, 32(SP1).
https://doi.org/10.25130/tjes.sp1.2025.31