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About

Najmeh Taleb’s research lies at the intersection of robotics, graph theory, and distributed systems, with a focus on patrolling and sensor deployment in uncertain environments. Her most influential work addresses a critical challenge: how to monitor a graph using mobile robots that may become corrupted or faulty. In her highly cited 2016 paper (24 citations), she explores the robustness of patrolling algorithms when robots are prone to failure, offering foundational insights into fault-tolerant multi-robot systems. Taleb also tackles the practical problem of achieving full sensor coverage in unknown orthogonal regions—a key issue in wireless sensor networks—demonstrated in her 2014 work (9 citations). Her studies on patrolling trees (2016, 7 citations) and visibility-based patrolling (2014, 7 citations) further extend her contributions to graph-based surveillance. By combining theoretical rigor with real-world applicability, Taleb’s research has shaped how autonomous systems can reliably monitor and cover complex environments, even under constraints of uncertainty and robot malfunction. Her work is essential reading for researchers in robotics, distributed algorithms, and network deployment.