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About

Indranil Roychoudhury is a researcher specializing in prognostics, system health management, and autonomous decision-making, with a particular focus on applying these capabilities to aerospace and robotic systems. His work centers on the emerging field of Prognostics-enabled Decision Making (PDM), which integrates real-time health monitoring and fault prognosis into operational planning to enable smarter, more resilient autonomous systems. Roychoudhury's most significant contribution has been the development of a mobile robot test platform specifically designed to validate PDM algorithms in realistic settings — a practical and reproducible framework that has proven invaluable for the broader research community. His 2020 paper on this platform has garnered 37 citations, reflecting its lasting influence, while earlier foundational work from 2011 and 2014 established the theoretical and experimental groundwork that made subsequent advances possible, together accumulating over 30 additional citations. His research bridges the gap between theoretical health management systems and deployable autonomous technologies, addressing the critical challenge of how vehicles — manned or unmanned — can act intelligently on diagnostic and prognostic information. This work has clear implications for aerospace safety, mission planning, and the future of self-managing autonomous systems.