Hossein Shahabi Email & Phone Number

Accomplished researcher and software developer with a Ph.D. in Electrical Engineering, boasting over a decade of experience in electrophysiology, neuroinformatics, and artificial emotional intelligence. Specialized in biomedical signal processing, machine learning, and analyzing various physiological signals for studying neurological disorders. Demonstrated expertise in developing supervised and unsupervised learning models, with a strong background in programming languages such as MATLAB, R, and Python. Key contributor to neuroscience software development and experienced in navigating the grant and regulatory landscape for medical device clearance.- Programming (15 years): Proficient in MATLAB, R, Python (Numpy, Scipy, Plotly, Scikit-learn, Scikit- image, Nibabel, ITK, MNE, Pandas, PyTorch)- Physiological Data (12 years): Extensive experience in analysis of EEG, SEEG, CCEPs, LFP, Spike, MEG, EOG, EMG, CT, MRI, fMRI- Machine Learning (10 years): Developed supervised and unsupervised ML algorithms using Hierarchical clustering, Neural networks, Nonlinear optimization, Graph signal processing, Multilayer networks - Biomarkers (10 years): Crafted neurophysiological indicators based on brain connectivity for insights into Emotions, Depression, Epilepsy, and Working memory.- Software Development (8 years): Key player in engineering two pivotal neuroscience software (Brainstorm & NeuroMatch), Skilled with GitHub, Bitbucket, Shell, Docker, Jira, VS Code- Grant & Regulatory (5 years): Successful FDA 510K clearance and NIH R01 grant