The 11st IEEE International Conference on Smart Data

Zhengzhou, Henan, China

October 30 - November 02, 2025

Important Dates

Paper Submission
June 15, 2025
Authors Notification
June 30, 2025
Camera-Ready Submission
August 15, 2025
Registration Due
August 31, 2025
Conference Dates
October 30- November 02, 2025

Organizing Committee

General Chair
Junlong Chen, South China University of Technology, China
Tongliang Liu,The University of Sydney, Australia
Rebeca Pilar Díaz-Redondo，University of Vigo School of Telecommunications Engineering, Vigo, Spain
Program Chairs
Linlin You, Sun Yat-sen University, China
Saman Hassanzadeh Amin, Toronto Metropolitan University Department of Mechanical and Industrial Engineering, Toronto, Canada
Qiujie Lv, Zhengzhou University, China
Program Vice-Chairs
Xuedong He, Zhejiang Normal University
Saidi Guo, Zhengzhou University, China
Workshop Chairs
Weihe Zhong, Chinese Academy of Sciences, China
Jun Shen, University of Wollongong, Australia
Publicity Chairs
Lei Shen, National University of Singapore, College of Design and Engineering, Singapore
Cong Yang, Zhengzhou University, China
Publication Chairs
Lunke Fei, Guangdong University of Technology, China
Ziduo Yang, Jinan University, China
Web Chairs
Xuyang Jing, Xidian University, China
Vaanathi Sundaresan, Indian Institute of Science, India
Steering Committee Chairs
Laurence T. Yang, Zhengzhou University, China
Jianhua Ma, Hosei University, Japan

Join us at the 2025 IEEE International Conference on Smart Data

The 11st IEEE International Conference on Smart Data (SmartData-2024) is held in Zhengzhou, Henan, China, October 30- November 02, 2025. 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 11st IEEE International Conference on Smart Data (SmartData-2025) 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.

IEEE SmartData 2025 Tracks and Topics

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
Track 2: Smart/Big Data Infrastructure and Systems
  • Cloud/Cluster/Fog/Edge Computing
  • Parallel Computing for Big Data
  • Open Source Big Data Systems
  • System Architecture and Infrastructure
  • Smart/Big Data Appliance
Track 3: Smart/Big Data Storage and Management
  • 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
Track 4: Smart/Big Data Processing and Analytics
  • 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
Track 5: Smart/Big Data Applications
  • 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
Track 6: Smart/Big Data in Internet of Things (loT)
  • 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

Paper Submission

All papers must be submitted electronically in PDF format via the conference submission website (EDAS), following the IEEE Computer Society Proceedings manuscript style. The page limits are:

  • Regular full papers: 8 pages (or 10 pages with an over-length charge), including figures and references
  • Full papers: 6 pages (or 7 pages with an over-length charge), including figures and references You may submit your work under either of these page limits.

Based on the reviews, the program committee will determine whether a paper is accepted and, if so, in which category.

Paper Publication

Accepted conference papers will be published by IEEE (IEEE-DL and EI indexed). At least one author of each accepted paper is required to register and present their work at the conference. Best paper awards will be presented at the conference. Selected high quality papers will be nominated to publish at high-level journal, after further extensions and revisions.

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