Publications

International Journals
• Facial Age and Gender Classification Using Serial Fusion of ESCG-DLQP and Deep Features, published in the Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2026). This research proposes a hybrid deep learning and feature fusion framework for accurate facial age and gender classification. The study contributes to advancements in computer vision, artificial intelligence, and biometric recognition systems.
  

National Journals
• DeepFaces: Advancing Age and Gender Classification using Facial Images with Deep Features, published in the International Journal of Innovations in Science & Technology (2024). This research proposes a deep learning-based framework utilizing VGG-19 extracted features and a custom CNN model for facial age and gender classification. The study contributes to advancements in computer vision, biometric recognition, and artificial intelligence applications.