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Name: Fardin Afdideh

Type: User

Bio: Neuroscience | Brain-Computer Interface | Biomedical Signal & Image Processing

Ph.D. Signal, Image, Speech, Telecom | M.Sc./B.Sc. Biomedical Engineering-Bioelectric

I am deeply passionate about advancing 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗲𝘀 and 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 for 𝗯𝗶𝗼𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝘀𝗶𝗴𝗻𝗮𝗹 𝗮𝗻𝗱 𝗶𝗺𝗮𝗴𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴. My research interests extend to the 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, and 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜/𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, with a focus on their application in 𝗻𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝗰𝗲, and vice versa (𝗡𝗲𝘂𝗿𝗼𝗔𝗜).

With 𝟮𝟬+ 𝘆𝗲𝗮𝗿𝘀 of experience in biomedical data analytics, in both 𝗵𝘂𝗺𝗮𝗻 and 𝗻𝗼𝗻-𝗵𝘂𝗺𝗮𝗻 𝗽𝗿𝗶𝗺𝗮𝘁𝗲 studies, I have extensively utilized a diverse range of biomedical signal and image processing techniques, from 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗺𝗲𝘁𝗵𝗼𝗱𝘀 to 𝗺𝗼𝗱𝗲𝗿𝗻 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, across various biomedical signals and images, including 𝗘𝗘𝗚/𝗠𝗘𝗚 (associative learning, brain-computer interface, emotion recognition, neurofeedback, source reconstruction, forward/inverse problem simulation), 𝗠𝗥𝗜 (MPM processing, alignment, skull stripping, inflation, registration), 𝗠𝗨𝗔/𝗟𝗙𝗣 (brain-computer interface, neurofeedback), 𝗘𝗖𝗚 (cardiac output estimation, atrial fibrillation prediction), 𝗘𝗢𝗚 (motor control, eye-machine interface), 𝗘𝗠𝗚 (muscle fatigue analysis), 𝗣𝗖𝗚 (congenital heart diseases classification), 𝗣𝗣𝗚 (PPG-respiration correlation), 𝗨𝗹𝘁𝗿𝗮𝘀𝗼𝘂𝗻𝗱 (sonogram, simulation and processing, time delay estimation, strain estimation), 𝗘𝗹𝗮𝘀𝘁𝗼𝗴𝗿𝗮𝗺 (tumor detection), 𝗕𝗶𝗼𝗺𝗲𝘁𝗿𝘆/𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗺𝗲𝘁𝗿𝘆 (person authentication based on some behavioral sounds), 𝗥𝗲𝘁𝗶𝗻𝗮𝗹 𝗶𝗺𝗮𝗴𝗶𝗻𝗴 (Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity), 𝗗𝗲𝗿𝗺𝗮𝘁𝗼𝘀𝗰𝗼𝗽𝗶𝗰 𝗶𝗺𝗮𝗴𝗶𝗻𝗴 (skin cancer detection), 𝘃𝗼𝗶𝗰𝗲-𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗺𝗼𝘁𝗼𝗿, 𝗩𝗥 (VR in medicine and biomedical engineering), and 𝘁𝗲𝘅𝘁 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 (sentiment analysis).

Fardin Afdideh's Projects

3d-tissue-deformation-using-comsol-multiphysics-software-to-obtain-rf-ultrasound-signals-for-us-elas

3D Tissue Deformation using COMSOL Multiphysics Software to Obtain RF Ultrasound Signals for US Elastography

a-unimodal-neural-network-based-person-authentication-system-based-on-the-sound-of-the-signing

A Unimodal Neural Network-Based Person Authentication System Based on the Sound of the Signing

a-unimodal-person-authentication-system-based-on-signing-sound

A unimodal person authentication system based on signing sound

binning-designer

block-sparse-models-in-multi-modality-application-to-the-inverse-problem-in-eeg-meg

Block-sparse models in multi-modality: application to the inverse problem in EEG/MEG

brain-computer-interface-for-navigation-in-virtual-environments

Brain-Computer Interface for Navigation in Virtual Environments

comments-on-practical-guide-for-biomedical-signals-analysis-using-machine-learning-techniques

Comments and Remarks on the Book "Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach" by

deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

development-of-a-matlab-based-toolbox-graphical-user-interfaces-for-elastogram-image-and-rf-ultras

Development of a MATLAB-based Toolbox (Graphical User Interfaces) for Elastogram Image and RF Ultrasound Signal Processing

eeg-alpha-band-power-topographies-of-educated-subjects-while-solving-an-iq-tes

EEG Alpha Band Power Topographies of Educated Subjects while Solving an IQ Test: A Case Study

eeg-meg-forward-and-inverse-multilayer-source-space-problem-pipeline-fieldtrip-based-toolbox

EEG/MEG Forward and Inverse (Multilayer Source Space) Problem Pipeline (FieldTrip-based Toolbox)

eeg-signal-cleaning-pipeline-management-eeglab-based-

EEG Signal Cleaning Pipeline Management (EEGLAB-based)

eeglab

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

fardinafdideh

Description of repository

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

forward-and-inverse-problem-eeg-meg-simulation-fieldtrip-based-toolbox-

Forward and Inverse Problem: EEG/MEG Simulation (FieldTrip-based Toolbox)

french

geospatial-analysis

Adding timing and location to traditional types of data and to build data visualizations.

git

invasive-cognitive-brain-computer-interfaces-to-enhance-and-restore-attention

Invasive Cognitive Brain-computer Interfaces to Enhance and Restore Attention: Non-human Primates Study

leadfield-based-brain-parcellation

Automated (Mono/Multimodal)LeadField-based Brain (Surface/Volume) Parcellation/Segmentation

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine-learning-a-to-z-using-python

meg-laminar

Analysis code for Bonaiuto, et al "Laminar-specific cortical dynamics in human visual and sensorimotor cortices"

meg-processing-and-dynamic-time-resolved-laminar-meg-source-localisation-mri-informed-

Tracking Information Flow in Dynamic Communication in the Brain Networks: Optimal Localization of the Brain Sources and Developing Functional Connectivity Approaches using MEG

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

subject-specific-feature-extraction-strategy-for-a-fully-matlab-based-three-class-mi-based-bci-for-n

tensorflow-1-public

text-analytics

Amazon product review sentiment analysis using Logistic Regression (LR), Support Vector Machine (SVM), and Naive Bayes (NB) multiclass as classifier models, Synthetic Minority Oversampling Technique (SMOTE) as feature oversampler, and TF-IDF vectorization as feature, Synthetic Minority Oversampling Technique (SMOTE) as oversampler, and k-fold CV.

timing-and-synchronisation-between-different-pcs-in-an-meg-setup

Timing and Synchronisation Between Different PCs in an MEG Setup

fardinafdideh Goto Github PK

Ph.D. Signal, Image, Speech, Telecom | M.Sc./B.Sc. Biomedical Engineering-Bioelectric

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