Sundeep Prabhakar Chepuri

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About

Sundeep Prabhakar Chepuri is a leading researcher in signal processing and wireless communications, with a focus on sparse sensing, radio map estimation, and autonomous systems. His most impactful work, “Spectrum Surveying: Active Radio Map Estimation With Autonomous UAVs” (2022, 70 citations), introduces a novel framework for constructing radio maps using unmanned aerial vehicles. This contribution is critical for applications like resource allocation, interference coordination, and mission planning in mobile robotics and wireless networks. Chepuri’s research addresses the challenge of efficiently inferring spatial signal distributions from limited, non-uniform measurements, enabling more intelligent and autonomous spectrum management. His earlier work, “Sparse Sensing for Statistical Inference” (2016), tackles the growing problem of processing massive sensor data by developing methods for data acquisition and inference under constraints on storage and communication. Chepuri’s contributions bridge theory and practice, offering scalable solutions for modern sensing and communication systems. His work is highly cited and influential, particularly in the emerging field of autonomous radio environment mapping, making him a key figure in advancing next-generation wireless and robotic systems.