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About

Duk Shin is a leading researcher at the intersection of brain-computer interfaces (BCI), neural decoding, and assistive robotics. His work focuses on developing intuitive, non-invasive control systems for robotic prosthetics and avatar robots, aiming to restore mobility and independence for disabled and elderly patients. Shin’s most influential contribution is the design of a hybrid BCI system for quadcopter control, which integrates multiple neural signals to achieve robust, real-time robot operation—a paper that has garnered 39 citations. He has also advanced the field of biomimetic prosthetics, addressing the critical issue of user acceptance by designing prosthetic hands that closely mimic the human hand’s structure and appearance (15 citations). Further, Shin has explored cognitive modeling within perceiving-acting cycles for teleoperated avatar systems, and demonstrated the feasibility of decoding joint angles from electrocorticograms (ECoG) in primates for precise robot arm control. His work on EEG-based automated writing arms using steady-state visually evoked potentials (SSVEP) showcases his commitment to creating practical, high-information-transfer BCI applications. Through these contributions, Shin is helping bridge the gap between neural signals and lifelike robotic action, making assistive technology more natural and accessible.