Rosebell Paul

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Total Citations

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About

Rosebell Paul is an emerging researcher whose work sits at the intersection of artificial intelligence, swarm robotics, and infrastructure safety. Her primary research focuses on developing intelligent, autonomous systems for critical infrastructure monitoring—most notably, railway track inspection. In her highly cited 2022 paper, "A Swarm-based AI Aided Wheel Bot System to Detect Cracks in Railway Tracks," Paul proposed a novel solution to a persistent public safety challenge: the detection of unseen faults that cause derailments and accidents. By integrating swarm intelligence with AI-driven wheel bots, her work offers a scalable, cost-effective alternative to manual track inspection, directly addressing the vulnerability of aging railway networks. With 5 citations, this paper has already garnered attention from researchers in civil engineering and robotics, signaling its practical relevance. Paul’s contributions stand out for their interdisciplinary approach—bridging mechanical design, machine learning, and real-world safety engineering. Her research not only advances the field of autonomous inspection but also holds promise for reducing accident rates in transit systems, making her a notable voice in the growing domain of AI for public infrastructure.