Faeze Zakaryapour Sayyad is a Researcher at the Department of Computer and Electrical Engineering of Mid Sweden University , affiliated with the STC Research Centre . Her work bridges Computer Science and Artificial Intelligence with applications in Computer Vision and Deep Learning . Research Interests Multi-Modal and Computer Vision techniques for Advertisement Detection and Description Efficient Deep Learning Models for Printed Media Analysis Interdisciplinary applications in Bioinformatics and Natural Language Processing Recent Publications include advancements in ad detection systems (2025, MACHINE LEARNING WITH APPLICATIONS ), model evaluation frameworks (2025, Communications in Computer and Information Science ), and contributions to drug-target interaction modeling (2023) and BERT-based question classification (2023). Her work spans both theoretical and applied domains. Collaborations include partnerships with researchers like I. Shallari , M. Seyed Jalaleddin , and M. O'Nils , with projects such as Smart Industry Sweden and AdVision .




