You are currently viewing Master’s thesis, in the College of Computer Science and Information Technology, discusses the Face information forensics analysis based on facial ageing using deep neural network

Master’s thesis, in the College of Computer Science and Information Technology, discusses the Face information forensics analysis based on facial ageing using deep neural network

The master’s thesis in the College of Computer Science and Information Technology at the University of Karbala was discussed in the hall of the Sayd Al Shuhada'(peace be upon him) the thesis tagged “the Face information forensics analysis based on facial ageing using deep neural network” by Maryam Hussein Abdel Abbas This will be at nine o’clock on Sunday, 1/29/2023.
The study highlighted the important role of activating computer forensics in the technical field of forensic science.
The field of study known as “Digital Image Forensics” focuses on Finding and examining digital evidence used in criminal investigations.
The researcher reached a number of results, the most important of which is: The facial recognition system depending on the pictures.
The most important recommendations that the researcher came out with is that facial identification across age is a currently open issue in the field of computer science that has a wide range of exciting applications for researchers.
The discussion was attended by the Dean of the College of Computer Science and Information Technology and his assistants, in addition to the heads of scientific departments, a number of researchers and teachers.
The discussion committee consisted of Assistant Professor Dr. Hidhab Khaled Abbas / Artificial Intelligence / University of Babylon, College of Basic Education / Chairman. Assistant Professor Dr. Ayad Hamid Musa, Artificial Intelligence and Data Management / University of Kerbala, College of Computer Science and Information Technology / member. Assistant Professor Dr. Ashwan Anwar Abdel Moneim, Artificial Intelligence and Computer Vision / University of Kerbala, College of Computer Science and Information Technology / member. Assistant Professor Dr. Nour Dhiaa Kadhem / Artificial Intelligence and Computer Vision / University of Kerbala, College of Computer Science and Information Technology, member and supervisor.