◕ Track1: Data Science and Artificial Intelligence

Foundations of Data Science

Data Representation and Processing

Data Mining and Knowledge Discovery

Machine Learning and Deep Learning

Natural Language Processing and Large Language Models

Affective Computing and Sentiment Analysis

Social Network Analysis, Security

Privacy and Trust in Data

Data Visualization, Explainable

Trustable and Ethical AI

Computational Intelligence

Knowledge Representation and Ontologies

◕Track2: Information Systems and Technologies 

Information System Architecture and Design

Database Systems and Management

Information Retrieval and Extraction

Data Integration and Warehousing

Data Quality and Information Governance

Cloud and Edge Computing in IM

IS Security and Privacy

Human-Computer Interaction in IS

Enterprise Information Systems

Mobile and Ubiquitous Systems

Big Data Infrastructure and Platforms

◕ Track3: Data and Information System Applications 

Bioinformatics and Biomedical Informatics

Healthcare Information Systems

Educational Data Mining and Learning Analytics

Smart City and Urban Computing

IoT Data Management

Industrial Data Analytics

Recommender Systems

Spatio-Temporal Data Mining

Agricultural and Environmental Informatics

◕Track4:  Intelligent Systems and Machine Learning 

Deep Reinforcement Learning

Machine Learning for 5G/6G and Network Optimization

Innovative Learning Paradigms

Performance Analysis of ML Algorithms

Machine Learning for IoT and Cybersecurity

Intelligent Control and Automation

Intelligent Medical Diagnostics

Pattern Recognition and Computer Vision

Intelligent Decision Support Systems

Speech Recognition and Synthesis