Indranil Sarkar

Papers

Total Citations

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About

Dr. Indranil Sarkar is a rising researcher at the intersection of neural engineering and assistive robotics, with a primary focus on decoding motor intent from electroencephalography (EEG) signals for rehabilitative applications. His most cited work, "Hybrid Electroencephalography-Induced Robot Navigation for Rehabilitative Platform" (2023), addresses a critical challenge in brain-computer interfaces: translating neural activity into precise, real-world robotic control. By developing a hybrid framework that integrates EEG decoding with robotic navigation, Sarkar’s research aims to restore mobility and independence for individuals with severe motor impairments, such as those resulting from stroke or spinal cord injury. While his citation count is still growing—reflecting the early stage of his career—his work is notable for its practical, application-driven approach, bridging the gap between laboratory-based neural decoding and deployable assistive technologies. Sarkar’s contributions are particularly significant in the context of upper limb rehabilitation, where his methods offer a non-invasive pathway to control robotic exoskeletons or wheelchairs. As a young investigator, he represents a new generation of engineers committed to translating complex neural signals into tangible improvements in quality of life, making him a promising voice in the future of neurorehabilitation.