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Satish Nagarajaiah is a leading figure in structural health monitoring (SHM), with pioneering contributions that bridge vision-based sensing, compressed sensing, and deepwater infrastructure safety. His highly cited work on robust data transmission and image recovery via compressed sensing has transformed how digital cameras—including those on UAVs and robotic agents—are used for structural diagnosis, enabling efficient, low-bandwidth monitoring of civil infrastructure. In the offshore domain, Nagarajaiah has advanced fatigue estimation in deepwater risers using wavelet-based methods and second-order blind identification, addressing critical safety challenges in offshore platforms. He further developed a robotic magnetic flux leakage (MFL) sensor integrated with vibration monitoring for deepwater risers, creating a novel dual-modality approach for global and local damage detection. His research has garnered significant attention, with his compressed sensing paper alone accumulating 55 citations, reflecting its impact on the SHM community. Nagarajaiah’s work is notable for its practical, real-world applications—from aerial inspection to subsea integrity—making him a key innovator in resilient and intelligent infrastructure monitoring.