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About

Nagabhushan Mahadevan is a leading researcher in the field of radiation effects on robotic and electronic systems, with a specific focus on nuclear disaster remediation. His work bridges the critical gap between component-level degradation and system-level performance in ionizing radiation environments. Mahadevan’s major contributions include pioneering studies on the degradation of commercial rangefinders and MEMS accelerometers under gamma radiation, as detailed in his highly cited 2014 and 2016 papers (21 and 14 citations, respectively). These works provide foundational insights into how common sensors fail during nuclear cleanup operations. He is also recognized for developing innovative probabilistic modeling techniques, such as Bayesian inference networks, to predict and mitigate total-ionizing dose effects on system performance. His 2015 paper on Bayesian modeling (9 citations) and his work on system health awareness (4 citations) establish a hierarchical framework for understanding radiation-induced failures, enabling adaptive control strategies to extend system life. Mahadevan’s research is instrumental in advancing the reliability and autonomy of robots deployed in hazardous nuclear environments, making him a key figure in radiation-hardened robotics.