Papers
3
Total Citations
9
H-Index
2
About
Neelabhro Roy is a researcher at the forefront of intelligent wireless systems and autonomous robotics, with a focus on creating resilient, decentralized communication networks. His work bridges the gap between computer vision and network engineering, particularly in challenging environments where traditional infrastructure fails. Roy’s pioneering research on UAV-based Person Re-Identification (PRID) introduced a novel framework that routes dynamic imagery through wireless mesh networks, enabling persistent surveillance across multiple drone-mounted cameras—a significant departure from static, single-camera systems. He further advanced post-disaster communication with ROSNet, a wireless mesh network that leverages both stationary and mobile ground and aerial nodes to establish ad hoc connectivity without relying on cellular or internet infrastructure. Most recently, Roy has explored the intersection of edge computing and collaborative robotics, proposing resource dimensioning strategies that optimize Quality of Control (QoC) for cloud- and edge-based robotic deployments. With his most-cited works accumulating citations in the single digits—a reflection of their recent, forward-looking nature—Roy’s contributions are gaining traction in the robotics and networking communities. His work is particularly notable for its practical implications in disaster response and flexible automation, positioning him as an emerging voice in resilient, autonomous systems.
Research Focus
Key Achievements
Top Papers
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