Dr. Rebwar Khalid | Artificial Intelligence | Editorial Board Member
Erbil Polytechnic University | Iraq
Dr. Rebwar Khalid Hamad is an emerging researcher in artificial intelligence with a strong focus on nature-inspired algorithms, metaheuristics, and data-driven optimization systems. His work advances cutting-edge computational models such as the Krill Herd, FOX, Gravitational Search, and GOOSE algorithms, contributing significantly to optimization theory and its real-world engineering and healthcare applications. He has developed impactful frameworks for intelligent problem-solving, integrated AI-based search techniques, and enhanced algorithmic performance through systematic reviews and novel implementations. His publications in high-impact journals highlight his ability to bridge theoretical AI mechanisms with advanced data management and practical optimization challenges. Beyond research, he contributes to academic development through teaching, student supervision, and the design of data management systems. His scholarly portfolio demonstrates strong analytical capabilities, innovation in metaheuristic modeling, and a commitment to advancing the fields of artificial intelligence, data science, and computational optimization.
Profile: Google Scholar
Featured Publications
Hamad, R. K., & Rashid, T. A. (2023). GOOSE algorithm: A powerful optimization tool for real-world engineering challenges and beyond. Evolving Systems.
Hamad, R. K., & Rashid, T. A. (2023). Current studies and applications of Krill Herd and Gravitational Search Algorithms in healthcare. Artificial Intelligence Review, 56(Suppl 1), 1243–1277.
Hamad, R. K., & Rashid, T. A. (2023). A systematic study of Krill Herd and FOX algorithms. In Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB) (pp. 168–186).
Hamad, R. K., & Rashid, T. A. (2025). A systematic study of GOOSE algorithms. In Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications.
Hamad, R. K. (2024). GOOSE algorithm: A powerful optimization tool for real-world engineering challenges and beyond [Computer software]. GitHub.