Editorial Team

The International Journal of Artificial Intelligence and Science (IJAIS) is supported by an experienced and diverse Editorial Board, composed of leading scholars, researchers, and professionals in the field of artificial intelligence and its applications. Our editors are responsible for upholding the academic integrity and quality of the journal by overseeing the peer-review process, ensuring adherence to publication ethics, and guiding the journal’s strategic direction.

Each editorial board member brings specialized expertise in various subfields such as machine learning, deep learning, computer vision, natural language processing, robotics, intelligent systems, and AI applications in science and industry. The Editorial Board is committed to ensuring timely and constructive peer reviews, fair editorial decisions, and the continuous improvement of the journal's standards.

We welcome collaboration and feedback from the scientific community to help shape a high-impact, reputable platform for AI research dissemination