Peilong Feng

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About

Peilong Feng is a biomedical engineer and neurotechnology researcher whose work centers on the development of advanced implantable neural interfaces and wireless brain-machine interface (BMI) systems. His most significant contribution is his involvement in the ENGINI (Empowering Next Generation Implantable Neural Interfaces) platform, a landmark project aimed at overcoming the fundamental limitations of existing neural implants through a distributed, three-tier network architecture connecting millimeter-scale implants, cranial transceivers, and external processors. Published in 2019, this work has garnered 59 citations, reflecting its considerable influence in the neural engineering community. Feng has further extended this research by developing completely wireless infrastructure for distributed millimeter-sized neural implants, addressing critical challenges in chronic implantability and scalability for clinical populations affected by stroke, spinal cord injury, and traumatic brain injury. His research sits at the intersection of wireless power transfer, integrated circuit design, and neuroscience, with the overarching goal of translating implantable neural technology into practical therapeutic tools. Through his contributions, Feng has helped advance a new generation of minimally invasive, wirelessly networked brain interfaces with profound implications for neuroprosthetics and neural rehabilitation.