Sandeep Bodda

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About

Sandeep Bodda’s research lies at the intersection of brain-computer interfaces (BCI), neural control, and low-cost assistive technology, with a focus on making neuroprosthetic devices accessible to underserved populations. His most cited work, “Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms” (2014, 19 citations), demonstrates how non-invasive EEG recordings can be harnessed to control affordable robotic arms, advancing the practical application of BCI for mobility and daily assistance. In a subsequent study (2016, 5 citations), Bodda refined this approach by categorizing imagined right and left motor imagery tasks, improving the speed and reliability of EEG pattern discrimination for low-cost neuroprosthesis control. His contributions emphasize the feasibility of translating complex neural signals into tangible, low-cost solutions—a critical step toward democratizing neuroprosthetic technology. By prioritizing affordability without sacrificing functionality, Bodda’s work has influenced both the engineering and clinical communities, offering a pathway for scalable BCI systems in resource-limited settings. His research continues to inspire efforts to bridge the gap between cutting-edge neural interfaces and real-world, accessible applications.