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Abbas Babajani-Feremi, PhD : Bio and credentials

Photo of Abbas Babajani-Feremi

My bio

Abbas Babajani-Feremi, PhD, is an Associate Professor in the Department of Neurology at the University of Florida and a faculty member in Artificial Intelligence, with affiliate appointments in Biomedical Engineering, Neuroscience, and Electrical and Computer Engineering. He is the founding Director of the Magnetoencephalography (MEG) Laboratory at the Norman Fixel Institute for Neurological Diseases, UF Health.

With a multidisciplinary background in biomedical engineering, neuroscience, and artificial intelligence, Dr. Babajani has more than two decades of experience in biomedical signal processing, neuroimaging, electrophysiology, and computational neuroscience. His work bridges engineering and clinical neuroscience to develop and translate advanced technologies for understanding brain function and improving the diagnosis, prognosis, and treatment of neurological disorders.

His major areas of expertise include multimodal neuroimaging and electrophysiology, epilepsy and presurgical brain mapping, neurodegenerative disease biomarkers, artificial intelligence and computational neurophysiology, and brain-computer interfaces for speech and language decoding.

Education

  • PhD, Biomedical Engineering

    University of Tehran, Iran, 2002-2007

  • MS, Biomedical Engineering

    University of Tehran, Iran, 1998

  • BS, Electrical Engineering

    University of Tehran, Iran, 1995

My areas of focus

Specialties

  • Epilepsy

Gender

Male

Accomplishments

  • Founding Co-Director of the ACNS Computational Neurophysiology and Neural Engineering Special Interest Group

    National Scientific Leadership, 2026

  • Founding Director of the clinical and research MEG Laboratory at the Norman Fixel Institute

    UF Health MEG Laboratory, 2023-2026

  • Board Member of the MEG Translational Research Consortium & Chair of the MEG TREC 2025 Organizing Committee

    MEG TREC Leadership, 2022-2026

  • Develops noninvasive MEG-based approaches for brain-to-text decoding, speech decoding, and speech reconstruction

    Brain-Computer Interfaces, 2020-2026

  • Leads research integrating MEG, MRI, AI, and blood- and CSF-based biomarkers in Alzheimer’s disease, Lewy body disease, and related disorders

    Neurodegenerative Disease Biomarkers, 2014-2026

  • Advances multimodal integration of MEG, fMRI, diffusion MRI, intracranial EEG, and electrical stimulation for presurgical functional mapping

    Multimodal Epilepsy Mapping, 2013-2026

  • Contributed to the MEG component of the NIH-funded Human Connectome Project (HCP)

    Human Connectome Project, 2011-2013

  • Applies machine learning, deep learning, graph theory, brain-age modeling, and dynamic-state analysis to neurological disorders

    AI & Computational Neurophysiology, 2002-2026