Subhrakanti Dey

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About

Subhrakanti Dey is a leading figure at the intersection of wireless communications, control theory, and signal processing. His research has fundamentally shaped how engineers design reliable, real-time control systems over unreliable wireless networks—a critical challenge for applications ranging from autonomous vehicle platooning to industrial process automation. Dey’s work on joint optimization of communication and control, particularly in resource-constrained environments, has provided foundational frameworks for energy-efficient sensor scheduling and state estimation over fading channels. His highly cited retrospective, "Wireless control: Retrospective and open vistas," synthesizes decades of progress and outlines the open challenges that will define the next generation of cyber-physical systems. With over 7,000 total citations, Dey’s contributions have been recognized through multiple best paper awards and editorial roles at top IEEE journals. His research continues to push boundaries in networked control, distributed estimation, and the integration of machine learning with communication-aware control design.