Master’s thesis at the Department of Computer Science discusses the diagnosis of pediatric autism using deep learning techniques
The Department of Computer Science defended its master’s thesis
Diagnosis Autism In Children Using Deep Learning Techniqe
by Master’s student Doha Salam Jassim, Computer Science/Artificial Intelligence
On Monday, 24/22/2025, in the hall of the late Dr. Imad Kazem.
The thesis aims to introduce deep learning models for the purpose of diagnosing autism in children early and enhancing accuracy through eye tracking data and the proposed hybrid models showed consistent improvements in performance across a dataset. The discussion committee consisted of Prof. Dr. Sakina Hassan Hashim as chairman and members of Prof. Dr. Nadia Fadel Al-Bakri, Prof. Dr. Khalil Ibrahim Gathwan and Prof. Dr. Sohadmallah Kazim as a member and supervisor.
