Pramod K. Varshney

Pramod K. Varshney's research focuses on how networks of sensors and radars can jointly detect, track, and localize targets, often under conditions of limited communication, noisy or low-resolution data, and adversarial interference. His work spans statistical signal processing, distributed detection and estimation, compressed sensing, and increasingly the use of machine learning (including reinforcement learning) for radar resource management. This area is broadly relevant to applications like radar systems, wireless sensor networks, and remote sensing.

Publication output has gradually declined from a peak of around 57 papers in 2018 to a more modest but still active pace of roughly 20-25 papers per year in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026