Marcelo Sousa Menegol

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About

Marcelo Sousa Menegol is a researcher whose work bridges the critical intersection of multi-agent systems and embedded computing. His primary research focuses on developing and evaluating coordination strategies for autonomous agents operating within resource-constrained environments. Menegol’s most notable contribution, "Evaluation of Multi-agent Coordination on Embedded Systems" (2018), has garnered 7 citations, establishing a foundational reference for understanding how decentralized decision-making can be effectively implemented on hardware with limited processing power and memory. This work is particularly significant for advancing real-world applications in robotics, IoT, and distributed sensor networks, where efficient coordination is essential. By systematically assessing the trade-offs between communication overhead and task completion in embedded multi-agent platforms, Menegol has provided a practical framework that helps other researchers and engineers design more robust, scalable autonomous systems. His research continues to influence the development of lightweight coordination protocols, making him a valuable voice in the growing field of edge-based artificial intelligence.