A new scientific paper by Abdulgafour W. Abdulgafour, faculty member at the Regional Studies Center, has been published in Scopus. The paper, entitled “A Hybrid Deep Learning Model for Facial Emotion Recognition: Combining Multi-Scale Features, Dynamic Attention, and Residual Connections”, appeared in the Proceedings of International Conference on Applied Innovation in IT (Vol. 13, Issue 2, pp. 69–77, June 27, 2025), it is accessible via  https://www.scopus.com/sourceid/21100901570. The study highlights the challenges of recognizing human facial expressions, given their subtlety and complexity. It proposes an innovative deep learning framework that integrates multi-level feature extraction, dynamic attention mechanisms, and enhanced residual connections. Experimental [Read More]