About iBrain
iBRAIN Lab integrates advanced neuroimaging and electrophysiology (MEG, intracranial EEG, fMRI) with AI-driven techniques, including deep learning, to investigate neurological disorders like epilepsy, Alzheimer’s Disease, Lewy Body dementia and Parkinson’s disease.
Our Research
Alzheimer’s Disease and Related Dementia (ADRD)
We investigate ADRD, including Alzheimer’s disease and Lew Body dementia, by integrating neuroimaging (MRI, fMRI, DTI, PET) and electrophysiology (MEG and EEG) data with AI-driven machine learning to reveal novel insights into disease mechanisms and progression.
Multi-modal Language Mapping
Using a multi-modal approach that integrates MEG, and intracranial EEG (sEEG & ECoG), we investigate the brain regions and networks involved in language processing to gain deeper insights into this complex cognitive function.
Brain Network in Epilepsy
An active area of the iBRAIN lab is to use brain connectivity analysis, graph theory, and machine learning in the diagnosis and prognosis of epilepsy and other neurological conditions.
Brain-Computer Interface (BCI) for Language Decoding
Our brain-computer interface (BC) for language decoding leverages advanced deep learning techniques, particularly large language models (LLMs) to translate neural activity into meaningful language outputs.
Our team
Principle Investigator
Abbas Babajani-Feremi Phd
In the news
Highlights from MEG-TREC 2025
Congratulations Babak Ahmadi
Please join us in congratulating Babak Ahmadi, a PhD candidate at the University of Florida, for being awarded the 2025 Leighton E. Cluff Award for…
iBRAIN Lab Awarded Fixel-Wilder Grant
We are excited to announce funding from the Norman Fixel Institute for our project “Deep Learning-Based MRI Biomarkers for Detecting…
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career opportunities
The iBRAIN Lab at University of Florida is at the forefront of research in neuroimaging, electrophysiology and Artificial Intelligence (AI) application in Neurology. We welcome talents and motivated individuals to join our team and contribute to cutting-edge discoveries. Explore the opportunities below to find your place in our lab.
PhD Students
PhD students with a background in biomedical engineering, electrical engineering, neuroscience, or artificial intelligence are encouraged to join our lab. We offer exciting opportunities to work on pioneering projects that leverage MEG/EEG, fMRI and iEEG to uncover the mechanisms of neurological disorders, language and other cognitive processes, and BCI applications for speech and language decoding. Programming skills in MATLAB/Python and prior experience with EEG/MEG/fMRI or machine learning are highly desirable.
Postdoctoral Fellows
We are seeking postdoctoral researchers with expertise in neuroimaging (fMRI, DTI, or PET) electrophysiology (MEG, EEG, or intracranial EEG (iEEG), or machine learning. Ideal candidates will work on advanced research projects in neurodegenerative diseases (e.g. AD, LBD and ALS), epilepsy, or brain-computer interfaces (BCI). Applicants with experience in MEG/fMRI, deep learning and large language models are highly encouraged apply.
Master’s Students
Master’s students in biomedical engineering, electrical engineering, neuroscience or computer science are welcome to join our lab for impactful research opportunities. You’ll gain hands-on experience with cutting-edge neuroimaging technologies and AI-driven data analysis. Prior knowledge of signal/image processing, machine learning and proficiency in MATLAB/Python programming is highly valued.
Research Fellows
We invite physicians or MD researchers with an interest in translational neuroscience to collaborate with us. Our lab integrates clinical expertise with advanced neuroimaging techniques to enhance diagnostics and develop therapeutic strategies for neurological diseases such as epilepsy and Alzheimer’s disease. Applicants with relevant publications and experience with neuroimaging are strongly preferred.
Undergraduate Students
Undergraduates eager to explore research in neuroscience, neuroimaging, biomedical engineering, or AI are invited to join the iBRAIN lab. You will have the chance to develop foundational skills in programming, data analysis, imaging techniques and machine learning while contributing to groundbreaking projects. A commitment of at least 10 hours per week is required, and prior experience in MATLAB/Python programming is highly desirable.
Join us
If you are interested in joining the iBRAIN Lab, please email your CV and a brief description of your research interests to Dr. Babajani at Babajani.a@ufl.edu