Jinendra Ekanayake

University College London, National Hospital for Neurology and Neurosurgery

Papers

Total Citations

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About

Jinendra Ekanayake is a pioneering researcher in neural engineering, specializing in the development of advanced brain-machine interfaces (BMIs) and neuroprosthetics. His work centers on creating distributed, chronically-implantable neural interfaces that overcome the limitations of traditional wired systems, aiming to restore motor function and improve quality of life for individuals with neurological disorders. Ekanayake’s most notable contribution is the ENGINI (Empowering Next Generation Implantable Neural Interfaces) platform, a three-tier network architecture that integrates external processors, cranial implants, and wireless communication to enable long-term, high-bandwidth neural recording and stimulation. This work, detailed in his highly cited 2019 paper (59 citations), addresses critical challenges such as power efficiency, data transmission, and biocompatibility. His 2022 study on volitional control of brain motor activity further explores the therapeutic potential of BMIs for rehabilitation, demonstrating how neural signals can be harnessed to drive recovery after injury. With a growing citation impact, Ekanayake’s research is shaping the future of implantable neurotechnology, offering scalable solutions for both clinical and research applications.