Joseph Gemayel

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About

Joseph Gemayel is a pioneering researcher at the forefront of Space Internet of Things (IoT) and autonomous multi-agent systems, with a specialized focus on information diffusion in modular robots and drone networks. His work addresses the critical challenge of efficient data propagation in complex, dynamic environments such as space information networks (SIN) and terrestrial robotic swarms. Gemayel’s major contribution lies in systematically evaluating the performance of diffusion algorithms—most notably the Susceptible-Infected-Susceptible (SIS) model—within these constrained and highly mobile systems, providing foundational insights for designing resilient communication protocols. His most-cited paper, "Information Diffusion in Modular Robots and Drone Networks" (2025), has already garnered 3 citations shortly after publication, signaling its timely impact on the emerging field of space robotics. By bridging theoretical epidemiology models with practical engineering challenges, Gemayel’s work is instrumental in enabling scalable, fault-tolerant coordination for next-generation autonomous systems, from orbital satellite constellations to collaborative drone swarms. His research is essential reading for anyone interested in the intersection of network science, robotics, and space exploration.