Amir Masoud Rahmani

National Yunlin University of Science and Technology, Islamic Azad University, Science and Research Branch

Papers

Total Citations

100

H-Index

About

Amir Masoud Rahmani is a prominent researcher whose work lies at the dynamic intersection of the Internet of Things (IoT), robotics, and wireless sensor networks. His most influential contribution is a comprehensive 2022 study on the *Internet of Autonomous Things*, which has garnered 70 citations for its detailed taxonomy and forward-looking analysis of autonomous systems. In robotics, Rahmani made an early impact with a 2010 paper introducing a cellular automata-based path planner for mobile robots in static environments, a foundational solution for navigating hazardous or inaccessible areas. That same year, he proposed an innovative ant colony optimization algorithm for deploying sensor nodes via robot swarms in wireless sensor networks, addressing critical challenges in harsh environments. More recently, his 2025 survey on the golden jackal optimization algorithm demonstrates his continued engagement with cutting-edge metaheuristic techniques. With a career spanning foundational robotics algorithms to contemporary IoT architectures, Rahmani’s work is essential reading for anyone exploring autonomous systems, swarm intelligence, or smart environmental monitoring.