Anis Zarrad

University of Dubai, University of Birmingham

Papers

Total Citations

H-Index

About

Anis Zarrad is a researcher whose work bridges the critical intersection of cloud computing, disaster management, and optimization algorithms. His most influential contribution, "A Cloud Based Disaster Management System" (2020, 59 citations), pioneers the integration of wireless sensor networks (WSNs) with 3D virtual environments, creating a novel paradigm for natural disaster response. By enabling realistic, data-driven simulations, Zarrad’s system allows emergency teams to prepare backup rescue scenarios with enhanced accuracy and speed, directly improving life-saving operations. In parallel, his work on "An analytical hierarchy process-based approach to solve the multi-objective multiple traveling salesman problem" (2018, 18 citations) showcases his expertise in complex optimization, applying multi-criteria decision-making to logistics and routing challenges. Zarrad’s research is notable for its practical impact, transforming theoretical models into actionable tools for real-world crises. His contributions demonstrate a commitment to leveraging technology for societal benefit, making his work essential reading for students and researchers in cloud systems, disaster informatics, and algorithmic optimization.