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About

Sudeep Pasricha is a leading researcher at the intersection of embedded systems, artificial intelligence, and photonic computing. His work is defined by pioneering hardware-software co-design for next-generation AI accelerators and intelligent navigation systems. Pasricha’s most notable contribution is the GHOST architecture, a novel Graph Neural Network (GNN) accelerator that leverages silicon photonics to dramatically improve processing speed and energy efficiency for graph-structured data—a breakthrough with implications for recommendation systems, drug discovery, and robotics. In parallel, he has advanced AI-driven indoor navigation for mobile embedded systems, addressing the critical challenge of GPS-denied environments such as underground mines and dense urban areas. His research on improving safety in cyber-enabled underground mines demonstrates a commitment to deploying cutting-edge AI in high-stakes, real-world settings. With over 20 citations across his most prominent works, Pasricha’s impact is growing rapidly, establishing him as a key innovator in creating efficient, intelligent, and safe autonomous systems for the future.