We are pleased to announce that our MSc student Arslan Mohammad Zahid has successfully defended his master’s thesis entitled “A Progressive Investigation of EEG-Based Fatigue Detection: From Spectral and Spatial Features to Riemannian-Transformer Fusion.”
The thesis was conducted under the supervision of Assist. Prof. Aysa Jafari Farmand, whose guidance and expertise greatly contributed to the successful completion of this research.
We sincerely congratulate Arslan Mohammad Zahid on this significant academic achievement and extend our congratulations to his supervisor, Assist. Prof. Aysa Jafari Farmand, for this successful outcome. We wish Arslan continued success in his future academic and professional endeavors and look forward to his future contributions to the field of biomedical signal processing and artificial intelligence.
