Assia Soukane

Papers

Total Citations

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About

Assia Soukane is a leading researcher in artificial intelligence and smart city optimization, best known for pioneering hybrid metaheuristic algorithms that solve complex, real-world engineering problems. Her most cited work, "A Hybrid Improved Manta Ray Foraging Optimization With Tabu Search Algorithm for Solving the UAV Placement Problem in Smart Cities" (2023, 22 citations), introduces a novel fusion of bio-inspired swarm intelligence and local search techniques to optimally position autonomous drones within urban IoT networks. This contribution directly addresses the critical challenge of maximizing coverage and service efficiency in smart city infrastructures. Soukane’s research bridges theoretical algorithm design with practical deployment, demonstrating how autonomous flying robots can be intelligently coordinated to enhance urban living. Her work has been recognized for its innovative approach to constrained optimization, offering scalable solutions for UAV-assisted communication, surveillance, and logistics. By integrating advanced metaheuristics with real-world constraints, Soukane continues to shape the future of autonomous systems and smart city planning, making her a key voice in the intersection of AI, robotics, and urban informatics.