Pooja Viswam

Papers

Total Citations

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About

Dr. Pooja Viswam is a pioneering researcher in the field of brain-computer interfaces (BCIs) and neuroprosthetics, with a primary focus on low-cost, accessible solutions for motor rehabilitation. Her most cited work, "Categorizing imagined right and left motor imagery BCI tasks for low-cost robotic neuroprosthesis" (2016), addresses a critical challenge in EEG-based BCIs: the rapid and reliable discrimination of neural patterns associated with imagined movements. By developing algorithms to classify left versus right motor imagery, Dr. Viswam has advanced the practical implementation of affordable robotic neuroprostheses, enabling intuitive control for individuals with motor impairments. Her research bridges the gap between high-cost clinical systems and real-world, low-resource applications, making assistive technology more equitable. With 5 citations on this foundational paper, her work has influenced subsequent studies in motor imagery decoding and low-cost hardware integration. Dr. Viswam’s contributions are particularly notable for their emphasis on translational impact, combining rigorous signal processing with user-centered design. Her efforts continue to inspire new pathways in neurorehabilitation, demonstrating how accessible BCIs can restore mobility and independence.