Editorial Team

The Journal of Artificial Intelligence and Data Science (JAIDS) is a scientific journal focused on developing theoretical and applied research in the fields of artificial intelligence and data science. It provides a platform for researchers, academics, and practitioners to publish studies related to AI algorithms, machine learning, deep learning, data analytics, predictive modeling, natural language processing, computer vision, and various data-driven innovations that support intelligent decision-making.
The journal's scope covers topics such as machine learning, deep learning, data mining, big data analytics, natural language processing, computer vision, predictive modeling, intelligent systems, AI ethics, and the application of artificial intelligence in various sectors such as healthcare, education, business, industry, and government. JAIDS also welcomes case study-based articles, review papers, and interdisciplinary research that connects AI to the development of real-world solutions in society and the professional world.