معرفی
Ivan Zubarev is a Postdoctoral Researcher in the Department of Neuroscience and Biomedical Engineering at Aalto University. He holds a Master's degree in Engineering and Technology from St. Petersburg State University (2013). His research focuses on developing machine learning methods for analyzing electromagnetic brain activity, particularly using MEG and EEG signals. He has contributed to open-source tools like MNEflow and developed algorithms such as DELMEP for automated motor evoked potential analysis.
His work emphasizes neural network applications in brain-computer interfacing, real-time decoding of brain signals, and understanding social influence mechanisms through neuroimaging. Zubarev has organized the 2024 International Conference on Bioelectromagnetism and collaborated internationally on studies of social conformity and neural signal processing. His research bridges computational neuroscience, biomedical engineering, and clinical applications.
