Jacques Demerjian

Papers

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About

Jacques Demerjian’s research lies at the intersection of modular robotics, distributed systems, and space-based Internet of Things (IoT) networks. His work tackles fundamental challenges in autonomous multi-agent systems, particularly the assignment of globally unique identifiers to resource-constrained modular robot particles—a critical enabler for scalable, self-reconfiguring robotic swarms. His most-cited paper, “A Unique Identifier Assignment Method for Distributed Modular Robots” (2020, 8 citations), addresses the daunting task of ID allocation in systems where individual modules have limited computational power and no global knowledge. More recently, Demerjian has extended his focus to information diffusion in complex networks, exploring how algorithms like the Susceptible-Infected-Susceptible (SIS) model perform in modular robots and drone networks integrated with Space Information Networks (SIN). His 2025 study on this topic (3 citations) contributes to the growing need for efficient communication protocols in space IoT. Though early in his career, Demerjian’s work is already shaping how we design robust, decentralized coordination for next-generation autonomous systems—from terrestrial modular robots to orbital drone constellations.