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KEY INFORMATION

Abstract Submission Deadline:

September 20, 2025

Paper Submission Dealine:
September 20, 2025

Notifcation of Acceptance:
October 20, 2025

Paper Registration Deadline:
November 5, 2025

Camera-Ready Deadline:
November 10, 2025

Talk To Us:

Email: dsis2025@163.com

Monday-Saturday: 09:00 - 18:00

Call for Papers

The aim of this conference is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in various topics of Data Science and Intelligent Systems. It provides participants an opportunity to discuss the recent developments in the fields of Data Science and Intelligent Systems areas. Original papers are invited to submit to the following Track areas:

Track 1: Data Science and Artificial Intelligence
Big Data Analysis, Databases, Foundational Theories of Data Science, Data Representation and Processing, Data Classification and Taxonomy, Affective Computing, Social Network Analysis and Mining, Security, Privacy and Trust in Data, Data Visualization, Application of DS & AI, Data Mining and Knowledge Discovery, DS & AI In Education Systems, Evolutionary Computation, Fuzzy Logic, Explainable, Trustable, and Moral AI, Foundation of DS & AI, Computational Intelligence, Image Analysis, Information Retrieval and Extraction, Intelligent Agents, Knowledge Acquisition and Ontology, Knowledge Representation, Machine Learning, Natural Language Processing, Large Language Models, Sentiment Analysis, Neural Networks and Deep Learning, Semantic Web, Vision & Perception
Track 2: Image Processing and Pattern Recognition

Software Tools for Imaging, Image Generation, Acquisition, and Processing, Image-based Modeling and Algorithms, Image Geometry and Multi-view Geometry, 3D Imaging, Image Restoration, Image Data Structures and Databases, Biomedical and Biological Image Processing, Computational Imaging, Detection, Recognition, and Classification, Image Analysis and Segmentation, Image Perception and Quality Models, Image generation, acquisition, and processing, Image-based modeling and algorithms, Animation image analysis, Enhancement and restoration, Feature extraction, Hand gestures classification, Human face recognition, Image recovery, Invariant representation of patterns, Iris pattern recognition, Machine vision, Nonstationary stochastic processing, Range imaging and detection, Stochastic pattern recognition
Track 3: Data Science Applications
Bioinformatics Applications, Biomedical Informatics Applications, Computational Neuroscience Applications, Information Retrieval Applications, Healthcare Applications, Collaborative Filtering Applications, Human Activity Recognition Applications, Natural Language Processing Applications, Web Search Applications, Image Analysis Applications, Data Streams Mining Applications, Spatial Data Mining Applications, Data And Information Networks Applications, Data And Information Privacy and Security Applications, Data Mining Algorithms Applications, Data Structures and Data Management Applications, Sensor Data Management Applications, Database Systems & Applications, Statistical and Scientific Databases Applications, Soft Computing, Business and Finance Applications, Industrial Data Applications
Track 4: Machine Learning and Intelligent Systems
Deep and Reinforcement Learning, Reinforcement Learning, Machine Learning For Network Slicing Optimization, Machine Learning For 5G System, Machine Learning For User Behavior Prediction, New Innovative Machine Learning Methods, Performance Analysis of Machine Learning Algorithms, Experimental Evaluations of Machine Learning, Machine Learning For Internet of Things, Machine Learning For Security And Protection, Intelligence and Perception, Intelligent Control, Intelligent Data Analysis, Intelligent Data Mining, Intelligent Medical Diagnostics, Intelligent Security Systems, Intelligent Signal Processing, Intelligent Cloud-Support Communications, Intelligent Software Defined Networks, Intelligent Cooperative Networks, Intelligent Positioning and Navigation Systems, Intelligent Wireless Communications



GUIDE FOR SUBMISSIONS:

*Papers prepared in the prescribed format are to be submitted. The papers should be written in English and clearly state the title, objective, method, results, and conclusion with major keywords. All papers submitted will be checked for plagiarism.
*Author names and their affiliations should be removed from the initial PDF file for the double blind review process. After receiving, the full paper will be peer-reviewed and its acceptance will be notified. Only papers presenting original content with novel research results or successful innovative applications will be considered for publication in the conference proceedings.
*The paper 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.
*The authors listed on the paper accurately reflect those who actually did the work and contributed to the paper in a meaningful way, and they have identified and acknowledged all sources used in the creation of their paper or manuscript, including any graphics, images, tables, and figures.


PLAGIARISM POLICY:

*The paper prior to submission should be checked for plagiarism from licensed plagiarism tools like Turnitin or CrossCheck. The similarity content should not exceed 25% (in any case either self contents or others).
*Any form of self-plagiarism or plagiarism from others' works should not be there in a paper. If any model / concept / figure / table / data / conclusive comment by any previously published work is used in your paper, you should properly cite a reference to the original work.