Papers
11
Total Citations
916
H-Index
9
About
Saeed Hamood Alsamhi is a prolific researcher at the intersection of robotics, artificial intelligence, Internet of Things (IoT), and smart city technologies. His work consistently explores how emerging intelligent systems can be integrated to solve complex real-world challenges, with particular emphasis on drone communications, multi-robot collaboration, and machine learning applications in connected environments. Alsamhi's most influential contribution, a 2019 survey on collaborative smart drones and IoT in smart cities, has garnered over 420 citations, establishing him as a leading voice in UAV-IoT integration. His research on optimizing drone signal strength over IoT frameworks using artificial neural networks further demonstrates his technical depth in wireless communication and predictive modeling. During the COVID-19 pandemic, he pivoted his expertise toward blockchain-empowered multi-robot systems for pandemic response, work that attracted over 117 citations and highlighted the real-world urgency of his research agenda. Beyond these contributions, Alsamhi has explored human-robot interaction through Shape Memory Alloy wearables, collaborative assembly systems, and autonomous multi-robot coordination for Industry 4.0 applications. With a cumulative citation count exceeding 900 across his top papers, his interdisciplinary approach continues to shape how researchers conceptualize intelligent, connected, and autonomous systems in modern technological ecosystems.
Research Focus
Key Achievements
Top Papers
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