Chiba University EDGCN Brain Decoding Breakthrough | Japan BCI
Chiba University researchers introduce EDGCN, a novel graph network achieving 90%+ accuracy in decoding dynamic brain patterns from EEG, advancing BCI for rehabilitation in Japan.
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Akio Namiki is a Professor in the Graduate School of Engineering at Chiba University, where he also serves as Special Assistant to the President for Research. He earned his Ph.D. in Engineering from the University of Tokyo in 1999, following undergraduate and graduate studies in mathematical engineering and information physics at the same institution. His academic career includes positions as Lecturer at the University of Tokyo from 2004 to 2008, Associate Professor at Chiba University from 2008 to 2017, and Professor at Chiba University since 2017.
Namiki’s research centers on intelligent robotics, with emphases on high-speed vision systems, visual and tactile feedback, manipulation of deformable objects, sensory-motor integration, and high-speed robots. He has contributed to advancements in dynamic manipulation, multi-vision robot systems, and sensor fusion. Namiki holds memberships in professional societies including the Robotics Society of Japan, the Japan Society of Mechanical Engineers, the Society of Instrument and Control Engineers, IEEE, and the Virtual Reality Society of Japan. He has served in numerous editorial and committee roles, such as Associate Editor for the Journal of Robotics and Mechatronics and the Bulletin of the JSME, as well as various program and award committees in robotics and mechatronics conferences. His work has received recognition including ROBOMECH awards from the Japan Society of Mechanical Engineers and best paper awards at IEEE conferences.
Chiba University researchers introduce EDGCN, a novel graph network achieving 90%+ accuracy in decoding dynamic brain patterns from EEG, advancing BCI for rehabilitation in Japan.