Mahmoud Zaki Iskandarani
Papers
2
Total Citations
7
H-Index
2
About
Mahmoud Zaki Iskandarani is a pioneering researcher at the intersection of wireless communications and soft robotics, whose work addresses the critical challenge of energy-efficient sensor networks on robotic platforms. His primary research areas include wireless sensor networks (WSNs), robotic body area networks, path loss modeling, and communication energy analysis in soft robotic structures. Iskandarani’s major contributions lie in mathematically modeling and simulating the energy consumption and signal propagation characteristics of sensor nodes deployed on robotic surfaces, particularly those covered with soft, skin-like materials. His most cited work, "Energy and path loss analysis of wireless sensor networks on a robotic body (WSRobotic)" (2025, 5 citations), demonstrates that both path loss and transmitted energy increase with distance, providing foundational insights for designing efficient robotic WSNs. In his subsequent study, "Communication Energy Analysis in Soft Robotic and Artificial Skin Covered Structures" (2023, 2 citations), he uniquely models how soft robotic materials affect the path loss coefficient, revealing that such materials behave similarly to human skin in terms of signal attenuation. These findings are crucial for advancing the design of energy-aware, body-integrated sensor networks for applications in healthcare, human-robot interaction, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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