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

Database, 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