معرفی
Hiromichi Suetani is a Professor at the Department of Co-creative Science and Engineering, Faculty of Science and Engineering, Oita University. He holds concurrent positions as an Affiliated Researcher at the International Research Center for Neurointelligence, University of Tokyo, and has previously worked at institutions including RIKEN Center for Brain Science, ATR, and Kagoshima University. His research bridges nonlinear dynamics, machine learning, and neuroscience.
- Education: PhD in Informatics from Kyoto University, with research at the Institute of Statistical Mathematics and graduate training in Mathematical Engineering at the University of Tokyo.
- Research Society Affiliations:
- Society for Neuroscience
- Japan Neuroscience Society
- Physical Society of Japan
His research focuses on decoding brain information and controlling complex systems using techniques like reservoir computing, topological data analysis, and nonlinear modeling. He investigates human EEG individuality, collective patterns in active matter, and chaotic synchronization in dynamical systems.
Recent work with collaborators explores hybrid prediction models combining anticipating synchronization and echo state networks to improve time series forecasting in chaotic systems. Earlier studies analyzed EEG consistency under noisy stimuli and applied manifold learning to map brain oscillations.
His teaching includes mechanics, computational physics, and nonlinear science at Oita University.
He has secured competitive funding from the Japan Society for the Promotion of Science for projects on critical computation systems, stable chaos in neural networks, and topological analysis of biological data.
