Amylia Ait Saadi
Papers
2
Total Citations
24
H-Index
2
About
Amylia Ait Saadi is a rising force in computational intelligence and smart urban systems, with a sharp focus on bio-inspired optimization algorithms and their real-world deployment. Her work centers on enhancing autonomous systems within smart cities, particularly through the strategic placement of Unmanned Aerial Vehicles (UAVs) to improve IoT-driven services and urban efficiency. Her most cited paper, "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 hybrid algorithm that marries the exploratory power of manta ray foraging with the local search precision of tabu search, directly addressing the complex, multi-constraint challenges of UAV network design. This contribution stands out for its practical impact on autonomous robot coordination and resource optimization. Complementing this, her comprehensive survey (2025) on manta ray foraging optimization—covering theory, variants, hybridization, and applications—has already begun to shape the field, serving as a key reference for researchers. Ait Saadi’s work is notable for bridging algorithmic innovation with pressing urban infrastructure needs, marking her as a promising scholar in the intersection of metaheuristics and smart city technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2