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I am a Lead Research Scientist at Analog Devices Inc. working on machine learning and statistical inference. I am interested in the design of efficient machine learning algorithms for sensor-based inference and have worked on a variety of topics such as transfer learning, battery state estimation, on-device SLU, and LiDAR point cloud inference.

Prior to this I received my PhD from the University of Illinois at Urbana-Champaign in 2019. Here I worked with Prof. Lav R. Varshney on information-theoretic methods for the analysis and design of algorithms for learning and blockchain systems.

e-Mail : ravi (dot) raman (at) analog (dot) com