Master’s Thesis Defense – Maryam Waleed Hatem

The defense of the master’s student Maryam Waleed Hatem took place in the Department of Biomedical Engineering on Monday, 25th August 2025, regarding her thesis entitled:

“Brain-Computer Interface for Smart Home Automation using EEG and Artificial Intelligence”

The defense committee consisted of:

• Chairman: Asst. Prof. Dr. Ahmed Faiq Hussein – Al-Nahrain University / College of Engineering

• Member: Asst. Prof. Dr. Mohammed Saadoun Hatheel – University of Baghdad / College of Engineering

• Member: Lecturer Dr. Mais Uday Abdulrasool – Al-Nahrain University / College of Engineering

The thesis was supervised by:

• Prof. Dr. Anas Qusay Hashim – Al-Nahrain University / College of Engineering

• Prof. Dr. Lama Nabih Boufarah – Lebanese German University

The thesis was scientifically evaluated by:

• First Scientific Reviewer: Asst. Prof. Dr. Mohammed Imad Abdul-Sattar – Al-Nahrain University / College of Information Engineering

• Second Scientific Reviewer: Asst. Prof. Dr. Ammar Alaa Al-Deen Noori – Al-Iraqia University / College of Engineering

The thesis was linguistically reviewed by:

• Lecturer Dr. Salman Majid Salman – Al-Nahrain University / College of Engineering

Study Objective

This study aims to design and develop a smart home system based on motor imagery electroencephalography (MI-EEG) using Machine Learning (ML) and Deep Learning (DL) techniques.

Methodology

The methodology included the following stages:

• Preprocessing of EEG signals using filtering and segmentation techniques.

• Feature extraction using a Convolutional Neural Network (CNN) model.

• Extraction of deep features through SVM, LDA, and CNN models.

Results

The proposed system achieved:

• Highest accuracy for SVM model: ~99%

• Highest accuracy for CNN model: ~99%

• Highest accuracy for LDA model: ~99%

The thesis was accepted with distinction, as it fulfills the requirements for the Master’s Degree in Biomedical Engineering.