Welcome to the 12th IEEE International Conference on Smart Data (SmartData-2026).

Smart data aims to filter out the noise data and produce valuable data, which can be effectively used by enterprises and governments for planning, operation, monitoring, control, and intelligent decision making. Although unprecedentedly large amount of sensory data can be collected with the advancement of the Cyber-Physical-Social systems, the key is to explore how big data can become smart data and offer intelligence. Advanced big data modeling and analytics are indispensable for discovering the underlying structure from retrieved data and further acquiring smart data.

The IEEE SmartData 2026 is to promote community-wide discussion identifying the computational intelligence technologies and theories for harvesting smart data from big data. It will provide a high-profile, leading-edge forum for scientists, engineers and researchers to discuss and exchange novel ideas, results, experiences and work-in-process on all aspects of smart data. Topics for submissions include but are not limited to the following theory, technology, and applications.

Topics of interest include, but are not limited to:

Track 1: Data Science and lts Foundations

• Foundational Theories for Data Science
• Data Classification and Taxonomy
• Data Metrics and Metrology
• Data inference for Smart/Big Data
• Theoretical Models for Smart/Big Data

• Cloud/Cluster/Fog/Edge Computing
• Parallel Computing for Big Data
• Open Source Big Data Systems
• System Architecture and Infrastructure
• Smart/Big Data Appliance

• Data Collection, Transformation and Transmission
• Data Integration, Cleaning and Storage
• Data Query and indexing Technologies
• Distributed File/Database Systems
• NewSQL/NoSQL for Smart/Big Data

• Smart/Big Data Search, Mining, Drilling
• Machine Learning/Deep Learning
• Brain/Nature-Inspired Computing
• Secure/Privacy-Preserving/Differentially Private Computing
• Visualization Analytics for Smart/Big Data

• Parallel Computing for Big Data
• Smart/Big Data Applications in All Fields
• Data as a Service (DaaS)
• Smart/Big Data Opening, Sharing, and Trading
• Ethic lssues in Big/Smart Data

• Network Design, Scheduling and Optimization
• Age of Information for Data Collection and Analytics in loT
• Learning-based Decision-making with Smart/Big Data in loT
• Mobile Data Collection, Transmission and Analytics in loT
• New Models, Algorithms and Methods for Smart City