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About

Sahejad Patel is a leading researcher at the intersection of robotics, underwater inspection, and energy infrastructure. His work focuses on developing autonomous systems to solve critical challenges in the oil and gas industry, particularly for subsea asset management. Patel’s most influential contribution is his foundational market survey on offshore underwater robotic inspection technologies (17 citations), which provides a comprehensive analysis of state-of-the-art methods for detecting corrosion and structural flaws in pipelines. He has advanced this field with his recent work on multi-robot systems for shallow-water pipeline inspection (16 citations), demonstrating practical, scalable solutions for real-world deployment. Beyond underwater robotics, Patel is pioneering the use of synthetic data generation to train machine learning models for energy applications, addressing the critical bottleneck of limited labeled datasets. His innovative semi-automated tank calibration technology, which enhances volumetric measurement accuracy for custody transfer, further showcases his ability to bridge robotics with industrial metrology. With a growing citation footprint and a focus on translating research into deployable technologies, Patel is a key figure shaping the future of automated inspection and data-driven operations in the energy sector.