Foram Kamdar

Papers

Total Citations

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About

Foram Kamdar is a pioneering researcher in neural engineering and brain-computer interfaces (BCIs), with a focus on restoring motor function and enabling real-time control for individuals with paralysis. Her most-cited work, "A real-time, high-performance brain-computer interface for finger decoding and quadcopter control" (2024, 7 citations), exemplifies her commitment to translating neural signals into practical, high-speed applications. This study demonstrated the first BCI capable of decoding individual finger movements in real time, allowing a participant with paralysis to pilot a quadcopter through complex maneuvers—a breakthrough that addresses unmet needs for peer interaction, leisure, and sporting activities. By integrating advanced machine learning with intracortical recordings, Kamdar’s system achieves unprecedented precision and speed, bridging the gap between laboratory research and real-world assistive technology. Her work not only advances neuroprosthetics but also empowers users to engage in social and recreational pursuits, such as multiplayer gaming and drone racing, which are often inaccessible to those with severe motor impairments. With a growing citation impact and a focus on user-centered design, Kamdar is shaping the future of high-performance BCIs, making her a rising leader in the field of neural rehabilitation and human-computer interaction.