Marta Menci
Papers
1
Total Citations
14
H-Index
1
About
Marta Menci is a researcher specializing in distributed optimization, multi-agent systems, and decision-making under uncertainty. Her work bridges theoretical algorithms and practical applications in wireless sensor networks, mobile robotics, and the Internet of Things (IoT). Her most cited paper, "A Suite of Distributed Methodologies to Solve the Sparse Analytic Hierarchy Process Problem" (2018, 14 citations), introduces novel distributed algorithms that enable networked agents—such as sensors or robots—to autonomously rank themselves based on utility without centralized coordination. This contribution addresses a critical challenge in decentralized systems: achieving consensus on importance or priority when agents have only partial, local information. By extending the Analytic Hierarchy Process (AHP) to sparse, distributed settings, Menci provides scalable solutions for resource allocation, task assignment, and network optimization. Her work has been recognized for its practical impact in real-world IoT and robotics applications, where efficient, fault-tolerant decision-making is essential. With a growing citation record, Menci continues to advance the field of distributed intelligence, offering tools that empower autonomous systems to make collaborative, informed decisions.
Research Focus
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Top Papers
- 1