Faisal Alkhateeb

Papers

Total Citations

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About

Faisal Alkhateeb is a distinguished researcher whose work bridges optimization algorithms and accessibility engineering. His primary contributions lie in developing hybrid metaheuristic approaches for complex scheduling problems and advancing web accessibility evaluation tools. Alkhateeb's most influential work, "Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem" (2021), has garnered 56 citations, demonstrating its impact on operational research and manufacturing efficiency. This innovative algorithm combines nature-inspired cuckoo search with simulated annealing to solve NP-hard scheduling challenges, offering practical solutions for industries seeking to optimize production timelines. Earlier, his pioneering research on "The design of RIA accessibility evaluation tool" (2012), with 35 citations, addressed critical gaps in making Rich Internet Applications accessible to users with disabilities. This work laid foundational principles for automated accessibility testing, influencing both academic research and industry standards. Alkhateeb's dual focus on algorithmic optimization and inclusive design reflects a commitment to solving real-world problems through computational innovation, making his research valuable for students and practitioners in computer science, industrial engineering, and human-computer interaction.