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Parichehr13/README.md

Brain icon

Pixel greeting

Biomedical Engineering MSc student exploring brain signals through computation, modeling, and biomedical data analysis.

EEG Analysis Computational Neuroscience BCI Physiological Modeling

About me icon About Me

  • I’m especially interested in EEG signal processing, computational neuroscience, and how engineering methods can make brain activity more interpretable
  • My work sits across biomedical data analysis, brain-computer interfaces, physiological modeling, and medical imaging
  • I’m drawn to projects that connect signals, systems, and biological questions in a way that is both technical and readable

Current Focus

  • EEG preprocessing and time-frequency analysis
  • Brain-computer interface workflows and neural decoding
  • Computational physiology and reduced-order modeling
  • Machine learning methods for biomedical signals and medical imaging

Technical skills icon Toolkit & Research Areas

Languages & Core Tools

MATLAB Python EEGLAB Brainstorm

Scientific Python

NumPy SciPy Pandas Matplotlib Optuna

ML / Deep Learning

PyTorch TensorFlow scikit--learn

Research Areas

Biomedical Data Analysis Time--Frequency Analysis Computational Physiology Medical Imaging

Connect With Me

GitHub icon GitHub: Parichehr13

LinkedIn icon LinkedIn: parichehr-moradi-82b0121a9

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  1. EEG-Emotion-Recognition EEG-Emotion-Recognition Public

    EEG-based emotion recognition with convolutional neural networks and hyperparameter optimization on the DEAP and SEED benchmarks.

    Jupyter Notebook 3

  2. EEG-Processing EEG-Processing Public

    EEG signal-processing workflow for preprocessing, ICA-based artifact handling, ERP analysis, and time-frequency analysis in MATLAB.

    MATLAB 2

  3. Medical-Imaging-Analysis Medical-Imaging-Analysis Public

    Medical image analysis in MATLAB, featuring multimodal registration, level set segmentation, and 3D reconstruction from DICOM and MRI data

    MATLAB 2

  4. multi-scale-neural-dynamics multi-scale-neural-dynamics Public

    Computational neuroscience modeling project with reproducible simulations of excitability, adaptation, synchrony, and population-level EEG-like activity.

    Python 2