Papers
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11
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About
Swagata Das is a researcher in biomedical engineering and human-computer interaction, with a primary focus on brain-computer interface (BCI) systems and their real-world applications. Her most-cited work, "Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG" (2018, 11 citations), demonstrates her ability to translate neural signals into practical, assistive technologies. In this study, she designed a complete BCI pipeline—from EEG signal acquisition and feature extraction to real-time motor control—enabling users to command a robot’s speed through thought alone. This contribution bridges the gap between laboratory neuroscience and tangible, low-cost robotics, highlighting her expertise in embedded systems and signal processing. Das’s work is particularly impactful for rehabilitation engineering, offering new avenues for individuals with motor disabilities to interact with their environment. Her research not only advances BCI robustness but also emphasizes accessibility, using affordable hardware like Arduino platforms. With a growing citation footprint, Swagata Das is establishing herself as a promising voice in the field, inspiring students and researchers to explore the intersection of neural engineering and autonomous systems.
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Top Papers
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