Scientific Computing and Computational Modeling have evolved into essential techniques for comprehending, evaluating, and forecasting intricate processes within various scientific and engineering realms. Through the integration of mathematical approaches, numerical algorithms, and state-of-the-art computing technologies, these techniques provide scientists and engineers with a means of simulating real-life systems, evaluating theoretical ideas, and examining situations that would otherwise be hard, expensive, or impossible to analyze via conventional experimentation. Computational models are invaluable in many areas of science and engineering including physics, engineering, environmental studies, medicine, materials science, and industrial research as a way of investigating behavior and performance of systems under various conditions. Journal of Advanced Data Science and Computational Intelligence invites papers that enhance the field of computational modeling, simulations, numerical computation, and data-based modeling.