Mashael Maashi
Papers
2
Total Citations
12
H-Index
2
About
Mashael Maashi is a prominent researcher at the intersection of artificial intelligence, swarm intelligence, and autonomous systems. Her work focuses on developing advanced optimization algorithms for complex real-world problems, particularly in the domains of unmanned aerial vehicle (UAV) networks and human-computer interaction. Her most-cited paper, "Dispersal Foraging Strategy With Cuckoo Search Optimization Based Path Planning in Unmanned Aerial Vehicle Networks" (2023, 10 citations), addresses critical communication challenges in dynamic marine ecosystems by introducing a novel bio-inspired path-planning method that enhances real-time data transmission between UAVs and base stations. More recently, Maashi has advanced the field of gesture recognition with her 2024 paper on a deep convolutional neural network combined with a Lion Swarm Optimizer, achieving robust classification of human gestures for applications in sign language and interactive systems. Her contributions are characterized by the creative fusion of nature-inspired metaheuristics with deep learning architectures, yielding efficient and scalable solutions. With a growing citation record and a focus on pressing technological challenges, Maashi is establishing herself as an innovative voice in computational intelligence and autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 2