Vidya Sudevan
Papers
6
Total Citations
31
H-Index
3
About
Vidya Sudevan is a researcher specializing in robotics, autonomous inspection systems, and intelligent sensing technologies, with a particular focus on applications in the oil and gas industry and marine infrastructure. Their work addresses one of the most pressing challenges in industrial safety: developing advanced robotic and sensor-driven solutions to inspect hazardous, hard-to-reach environments including vertical structures, buried pipelines, and underwater installations. Sudevan's most-cited contributions include comprehensive reviews of inspection technologies for oil and gas vertical structures, garnering 12 and 10 citations respectively, which have helped shape the conversation around digitalization and automation in this critical sector. Their research extends to autonomous anomaly detection in natural gas pipelines and hierarchical control systems for buried pipeline tracking with GPS geotagging, demonstrating a broad command of both software and hardware integration. More recently, Sudevan has expanded into multisensor fusion for marine infrastructure safety and cutting-edge neuromorphic computing approaches, including spike-based pose regression for energy-efficient underwater robotics — signaling a forward-looking shift toward bio-inspired, low-power autonomous systems. Collectively, their body of work reflects a commitment to making industrial inspection smarter, safer, and more autonomous across challenging real-world environments.
Research Focus
Key Achievements
Top Papers
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- 4Multisensor fusion for marine infrastructures’ inspection and safety2 citations · 2022
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