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Resume (English only)
Academic Achievements
Published over 180 papers and filed more than 1225 patents (with over 100 granted in different geographies). Authored three books on IoT and its applications in Manufacturing and Healthcare. Some of his research works include: Differential Dermal Potential: A New Paradigm for Measuring Cognitive Load, Prediction of Sugar Level in Grapes Using Multispectral Imaging, Data-Driven Approach for Identification of Damage in Composites, Towards low power cognitive load analysis using EEG signal: A neuromorphic computing approach, and Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network.
Research Experience
Works at TCS Innovation Labs, responsible for the research area of Embedded Devices & Intelligent Systems. Research focuses include computational sensing, signal processing, embedded computing, and their new research paradigms. Outcomes include developing novel, frugal, and deployable solutions for Intelligent IoT and Robotic Perception systems in various industries such as Industrial Manufacturing, Oil and Gas, Aerospace, Medical Devices / Remote Healthcare, Smart Energy, Smart Retail / Supply Chain, Smart Transportation, Smart Agriculture, and Earth Observation.
Background
With over 33 years of experience, he is currently a Distinguished Chief Scientist leading the Embedded Devices and Intelligent Systems Research Area at TCS Research. He serves on the editorial board of ACM Transactions on Embedded Systems and Springer Nature Journal on Computer.