Jay Patel

New York University, Dalhousie University

Papers

Total Citations

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About

Jay Patel is an emerging researcher working at the intersection of neural engineering, deep learning, and autonomous systems. His most notable contribution lies in the domain of neural interfaces and neurorobotics, where his 2022 paper on hand gesture recognition using transient surface electromyography (sEMG) signals has garnered 21 citations — a strong indicator of early-career impact. In that work, Patel advanced the application of transfer learning with Dilated Efficient CapsNet architectures to decode peripheral nervous system signals, pushing the boundaries of spatiotemporal resolution in prosthetics and exoskeleton control. This research addresses a critical challenge in human-centered robotics: building generalizable models that can reliably interpret complex neuromuscular signals across users and conditions. Beyond neural interfaces, Patel has also demonstrated a breadth of expertise in underwater autonomous systems, contributing to the development of secure, full-duplex OFDM/CDMA communication networks for coordinated multi-UUV object detection, localization, and tracking. Together, these works reveal a researcher driven by real-world impact — from restoring human motor function through intelligent prosthetics to enabling resilient autonomous operations in challenging underwater environments.