I hold an MSc degree in Biomedical Engineering, specializing in Magnetoencephalography (MEG). I completed my master's at Shahid Beheshti University (SBU), where I developed an automatic preprocessing pipeline (MEGAP) for MEG data. Earlier in my undergraduate studies, I explored white matter alterations in OCD using diffusion tensor imaging (DTI). My research integrates neuroimaging, data processing, and cognitive neuroscience to address challenges in large-scale brain data analysis.

My research centers on brain activity mapping, particularly improving the accuracy and automation of MEG data preprocessing and source reconstruction. I aim to design robust pipelines that handle large-scale neuroimaging datasets efficiently. Through spatial and temporal analysis of brain dynamics, I seek to better understand how internal neural representations change during various cognitive and psychiatric states.

Currently, I am enhancing the MEGAP pipeline with modules for advanced source reconstruction, MRI preprocessing, and fully automated MRI–MEG coregistration. This work aims to improve scalability and usability for large-scale MEG datasets in both research and clinical applications.

• ✉️ Email: erfanmohammadi888@yahoo.com
• 🌐 Website: https://seyyed-erfan-mohammadi.github.io/
• 💼 LinkedIn: https://www.linkedin.com/in/seyyed-erfan-mohammadi
• 🧪 ORCID: https://orcid.org/0009-0004-0145-0537
• 📚 Google Scholar: https://scholar.google.com/citations?user=vN91_VUAAAAJ&hl=en&oi=ao
• 📖 ResearchGate: https://researchgate.net/profile/Seyyed-Erfan-Mohammadi
• 📘 MEGAP Documentation: https://megap.gitbook.io/megap
• 🌀 Bluesky: https://bsky.app/profile/erfanmohammadii.bsky.social