Arvind Narayanan is an inventive scientist with 13 years of experience at the intersection of networking and applied machine learning, currently driving research at AT&T Labs. He specializes in computer and mobile networking, NFV-scalable architectures, and ML-driven content distribution, with publications in SIGCOMM, WWW, IMC, and INFOCOM. His pioneering, publicly released datasets and analyses of commercial 5G performance have become a community baseline, and his DeepCache work earned a Best Paper Award at the SIGCOMM NetAI workshop. Holding an MS and PhD from the University of Minnesota and a top-distinction B.E. from the University of Mumbai, he combines rigorous academic training with impact-focused systems research. Notably, he blends empirical measurement, open data, and ML to make systems research reproducible and practically useful for industry evaluators.
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