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BCI, Neuroscience
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EE Department
Data Scientist
June 29, 2026 – Present
EEG-Signal-Classification-using-CSP-Features
February 9, 2024 – February 19, 2024
This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.
View ProjectEEG-Signal-Analysis-for-P300-Extraction
February 7, 2024 – February 7, 2024
Welcome to the EEG Signal Analysis repository, focusing on the extraction of P300 signals using synchronous averaging techniques. This project aims to provide insights into the optimal number of repetitions required to reliably capture the P300 response, a crucial component in various applications such as BCIs and cognitive neuroscience research.
View ProjectEEG-Signal-Processing-GEVD-DSS
December 24, 2023 – December 24, 2023
This repository contains my project focused on exploring and implementing Generalized Eigenvalue Decomposition (GEVD) and Denoising Source Separation (DSS) methods in signal processing.
View ProjectRevolutionizing-EEG-Signal-Analysis-Advanced-Noise-Reduction-Techniques
December 21, 2023 – December 21, 2023
Welcome to my repository dedicated to enhancing the clarity and quality of EEG (Electroencephalography) data through innovative noise reduction methodologies. This project lies at the confluence of neuroscience and data science, representing a significant leap in EEG signal processing.
View ProjectSignal-Processing-and-Analysis-of-EEG-Data-Using-Python
November 8, 2023 – November 8, 2023
This project demonstrates various signal processing techniques, such as signal generation, window functions, filtering, downsampling, zero-padding, and the application of time-frequency analysis using the Short-Time Fourier Transform (STFT).
View ProjectExperiment-and-Computational-Fluid-Dynamics-Simulation
August 7, 2023 – August 7, 2023
This repository contains the code and data for simulating and analyzing the hydrodynamics of gas bubbles in tapered fluidized beds using CFD and image processing methods.
View ProjectEmotion-Detection
July 24, 2023 – September 14, 2023
This repository contains the code for an Emotion Detection project using deep learning models and real-time processing. The project is implemented in Python using the TensorFlow framework and focuses on detecting human emotions from images and real-time video streams.
View ProjectAdvanced-Topics-in-Neuroscience
February 27, 2023 – August 2, 2023
This repository contains homework assignments and projects completed for the course "Advanced Topics in Neuroscience" instructed by Dr. Ali Ghazizadeh at Sharif University of Technology.
View ProjectBrain-tumor-detection
December 23, 2021 – August 12, 2023
Implementation of medical image segmentation and deep learning framework with CNN and U-net
View ProjectSolSudo
September 15, 2020 – February 13, 2023
SolSudo is a deep learning-based sudoku solver that solves sudoku by using images, using an intelligent prediction method to fill in blank digits one by one. It features image-based sudoku detection with tesseract-ocr but also has a manual input method.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in neuroscience and signal processing, which, while demonstrating deep technical skills, may indicate a narrow focus. The lack of diverse project types or team-based projects makes it difficult to assess broader cultural fit or adaptability to varied data science domains outside of their specialized area. The single listed work experience as 'Data Scientist' at 'EE Department' with a future start date and no listed skills provides insufficient information for a comprehensive cultural fit assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and ability to execute complex data science tasks independently.