The 7th IEEE International Conference on Computing and Big Data (ICCBD 2026) will be held on September 28–30, 2026, in Guiyang, China. The conference is sponsored by Guizhou Normal University, and hosted by the School of Big Data and Computer Science, Guizhou Normal University. ICCBD 2026 , themed “Data-Centric and AI-Driven Computing for Real-World Intelligence” , aims to provide a high-level international forum for researchers and practitioners to present and discuss recent advances in computing and big data. The conference addresses emerging topics related to big data analytics, artificial intelligence, cloud and edge computing, and intelligent data-driven systems, with an emphasis on both theoretical foundations and practical applications. ICCBD 2026 seeks to promote academic exchange, foster international collaboration, and support the development of innovative technologies in computing and big data.

ICCBD2026 has been included in IEEE website's list of conferences. Accepted papers will be included in the IEEE conference proceedings and formally published as important academic outcomes of the conference, indexed by EI Compendex and Scopus, etc.

Topic 1: Data-Centric Computing Architectures and Platforms
Data-Centric Architectures and AI-Driven Architectures
Distributed and Stream Processing Frameworks
Edge, Cloud, Hybrid and Multi-Cloud Computing Architectures
Microservices, Containerization and Serverless Computing
Scalable Storage, Data Warehousing and OLAP Architectures
Infrastructure, Architecture and Platforms for Big Data
Security and Privacy in Data-Centric Architectures

Topic 2: Big Data Analytics, Models and Algorithms
Novel Theoretical and Computational Models
Big Data Analytics and Intelligent Data Processing
Machine Learning and Deep Learning for Big Data
Algorithms and Techniques for Real-world Applications
City-scale Data Mining and Large-scale Machine Learning
Multimedia and Multi-structured Data Analytics
Issues, Challenges and Opportunities in Big Data

Topic 3: Visualization, Image Processing and Multimedia Analytics
Image Processing and Computer Vision based on Big Data
Visual Analytics and Interactive Data Visualization
Multimedia Data Understanding and Representation
Large-scale Image, Video and Remote Sensing Data Analysis
Medical Image Analysis and Intelligent Diagnosis
Visual Analytics for Scientific and Industrial Big Data

Topic 4: Blockchain Technologies and Distributed Intelligent Systems
Blockchain Technologies, Methodologies and Architectures
Blockchain-based Distributed Applications and Transactions
Blockchain in Smart Cities, IoT and Intelligent Transportation
Blockchain for Data Security, Privacy and Trust
Performance Modeling, Optimization and Evaluation of Blockchain Systems
Experimental Prototyping and Testbeds for Blockchains

Topic 5: Networking, IoT and Cybersecurity for Big Data Systems
Internet of Things (IoT) Integrated Power and Data Systems
5G/6G Networks and Intelligent Communications
Cybersecurity Technologies and Threat Detection
Privacy Preserving Big Data Analytics and Encryption
Access Control, Authentication and Cryptographic Protocols
Trust, Privacy and Legal Issues in Networked Systems

Topic 6: Intelligent Energy Systems and Smart Infrastructure Analytics
Intelligent Energy Consumption and Behavior Identification
DER Management and Demand Response
Energy Data Analytics and Energy Substitution Management
Transaction of Power Consumption Rights
Smart Grid, Smart City and Infrastructure Data Platforms
AI and Big Data for Sustainable Energy Systems

Topic 7: Big Data Science, Management and Governance
Data Understanding, Quality and Provenance Control
Big Data Standards, Programming Models and Toolkits
Big Data Management, Persistence and Preservation
Open Data Platforms and Data Sharing Mechanisms
Enterprise and Industrial Big Data Practices
Pricing Models and Policy in Data-driven Systems

Topic 8: Big Data and Intelligent Computing for Education and Society
Big Data Analytics in Education and Learning Systems
Learning Analytics and Educational Data Mining
Intelligent Tutoring Systems and Personalized Learning
AI-driven Assessment, Evaluation and Recommendation
Visualization and Image Analysis for Educational Applications
Big Data Applications for Social Computing and Public Services