Sanghyuk Lee

Xi’an Jiaotong-Liverpool University, Inha University

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About

Sanghyuk Lee is a pioneering researcher whose work bridges neurotechnology, robotics, and advanced materials. His primary research areas include brain–computer interfaces (BCI), multi-agent robotic systems, and additive manufacturing of smart materials. Lee’s most impactful contribution lies in EEG signal processing for robot control, where he developed a self-adjusting data analysis framework using optimized sampling techniques—a breakthrough that enhances non-invasive BCI reliability and real-time robotic responsiveness. This work, published in 2020, has garnered 14 citations, reflecting its growing influence in neuroprosthetics and human-robot interaction. Earlier, Lee explored evolutionary robotics through genetic algorithms for multi-agent space exploration, demonstrating how autonomous robot teams can adapt to unknown environments. Most recently, he has ventured into 3D printing of magnetoactive soft materials, incorporating cellulose nanofibrils into UV-curable ferromagnetic resins—a novel approach that could revolutionize soft robotics and flexible electronics. Lee’s interdisciplinary trajectory from neural signal analysis to sustainable smart materials underscores his commitment to solving complex engineering challenges. His work continues to inspire students and researchers at the intersection of AI, robotics, and materials science.