Data Science and Intelligent Systems are key areas of information technology that work together to turn data into insights and enable machines to act intelligently. Data Science uses statistics, computing, and domain knowledge to analyze large datasets, uncover patterns, and support decision-making through techniques like machine learning and predictive modeling. Intelligent Systems, such as AI-powered chatbots or autonomous vehicles, rely on Data Science to process information, adapt, and improve over time. Their combination is transforming industries—from healthcare diagnostics to smart city traffic management—by boosting efficiency and innovation. However, challenges like data privacy and algorithmic bias must be addressed through ethical guidelines and collaboration. As data grows, these fields will remain vital for solving complex problems and driving sustainable technological progress.

The main objective of DSIS 2026 is to create an effective platform for researchers, and technical experts to share recent ideas, innovations, and problem-solving techniques in the vast areas of Data Science and Intelligent Systems. Another goal is to promote the transformation of fundamental research into institutional and industrialized research and to convert applied exploration into real time application. It will be an excellent opportunity for both researchers and industrial communities to meet, discuss, and share their research outcomes. Prospective authors are invited to submit their original technical papers for presentation at the conference and publications in the conference proceedings.

This conference is listed on the IEEE web site at:
https://conferences.ieee.org/conferences_events/conferences/conferencedetails/71903

Authors are invited to submit original full papers prepared in the prescribed format of at least 5 pages. Authors can include up to 10 additional pages at a cost of $50 per page. Electronic submission in PDF format is required. The papers should be written in English and clearly state the title, objective, method, results, and conclusion with major keywords. After receiving, the full paper submissions will go through a blind review process to check for originality, scientific quality, fitness/significance, novelty, completeness, consistency, and presentation. The papers should be original work of the author(s), and no portion of the paper (including, but not limited to, graphics and figures) has been previously published. The paper is not currently under consideration for publication elsewhere.