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About

Yiran Lang is a pioneering researcher in neural engineering and human-machine interaction, with a focus on creating seamless bidirectional communication pathways between biological neural systems and electromechanical devices. Lang’s most impactful work includes the development of a novel neural interfacing electrode array capable of simultaneous electrical stimulation and recording of EEG, EMG, and ENG signals—a critical advancement for brain-computer interfaces, prosthetics, and cyborg technologies. This innovation enables real-time, bidirectional information transmission, bridging the gap between biological nerves and external machines. In 2022, Lang advanced the field of remote control systems with a gesture recognition framework based on surface electromyography (sEMG) using a multi-attention mechanism, which has garnered 30 citations for its practical applications in intuitive, non-invasive control. Earlier foundational research demonstrated the use of Extreme Learning Machines (ELM) to classify brain-machine interface control commands from spike trains of hippocampal neurons in rats, achieving precise classification from 34 simultaneously recorded single neural signals. With a total of 36 citations across these key works, Lang’s contributions are instrumental in advancing neural interfaces, brain-machine interfaces, and intelligent control systems, offering transformative potential for assistive technologies and neuroprosthetics.