Hoda Mashayekhi
Papers
1
Total Citations
2
H-Index
1
About
Hoda Mashayekhi is a researcher whose work lies at the intersection of underwater wireless sensor networks (UWSNs) and autonomous underwater vehicles (AUVs), with a particular focus on topology control and optimization in three-dimensional underwater environments. Her most-cited paper, "A topology control algorithm for autonomous underwater robots in three-dimensional space using PSO" (2015), introduces a particle swarm optimization (PSO)-based approach to managing the complex, stochastic nature of underwater data collection. This work addresses the critical challenge of maintaining reliable communication and efficient coverage among AUVs, which are increasingly deployed for seabed monitoring and environmental sensing. While her citation count is currently modest, her research contributes to foundational methods in underwater robotics and sensor networks, a field with growing importance for ocean exploration and climate monitoring. Mashayekhi’s work is particularly notable for tackling the three-dimensional constraints of underwater environments, where traditional two-dimensional network assumptions fail. Her contributions are valuable for students and researchers interested in the intersection of swarm intelligence, robotics, and marine technology, offering practical algorithms for real-world underwater missions.
Research Focus
Key Achievements
Top Papers
- 1