The Institute of Informatics discusses a master’s thesis proposing an electroencephalography-based authentication system.
The Master’s thesis of student Asmaa Bashir Hamza was discussed at the Institute of Informatics for Graduate Studies. The discussion session was held on Monday, June 16, 2025. The thesis, titled “Proposed Authentication System Based on Electro Encephalogram (EEG)”, was published in the Computer Science major.
This thesis describes a person recognition system built using deep learning (RNN) and GRU LSTM models, along with hardware components such as an Arduino and an electronic safe, with the aim of enhancing instant identity verification within an access control system. The research results showed that combining EEG signals with deep learning (RNN), LSTM, and GRU algorithms provides a secure and reliable system for interacting with electronic systems.
Asmaa Bashir Hamza earned her Master’s degree with a very good grade in Computer Science.
