Affiliation: Independent Researcher

Samer Attrah is an artificial intelligence researcher with six years of experience in developing computer vision and natural language processing systems. He earned a master’s degree in engineering from HAN University of Applied Sciences. His research focuses on affective computing, emotion recognition, and deep learning, with particular emphasis on developing models that predict human emotions from facial expressions. He has published several high-impact research papers on emotion estimation and has investigated the capabilities of large language models (LLMs) in understanding and interpreting emotional states through MediaPipe Blendshapes.

In addition to his scholarly publications, Samer has contributed to the field through conference presentations, technical articles, and blogs. His primary research interests lie at the intersection of artificial intelligence and robotics, particularly in the areas of computer vision, natural language understanding, and social robotics for elderly and patient care.

ORCID: 0009-0006-8090-1256