The 8th International Conference on Computing and Big Data (ICCBD 2027)

The 8th International Conference on Computing and Big Data (ICCBD 2027) advances research and innovation in computing and big data, integrating scalable architectures, intelligent analytics, blockchain, cybersecurity, and data-driven applications for industry, energy, education, and smart infrastructure.

Key Topics

• Big data analytics, models and algorithms
  • Machine learning and deep learning for large-scale data
  • City-scale data mining and intelligent processing
  • Novel computational models and real-world algorithms
  • Multimedia and multi-structured data analytics
• Data-centric computing architectures and platforms
  • Distributed, stream and cloud computing frameworks
  • Edge, hybrid and multi-cloud architectures
  • Microservices, containerization and serverless computing
  • Scalable storage, data warehousing and OLAP systems
  • Security and privacy in data-centric infrastructures
• Blockchain technologies and distributed intelligent systems
  • Blockchain architectures and methodologies
  • Distributed applications and transaction systems
  • Blockchain for smart cities, IoT and transportation
  • Performance optimization and security in blockchain systems
• Visualization, image processing and multimedia analytics
  • Computer vision and large-scale image analysis
  • Interactive data visualization and visual analytics
  • Medical imaging and intelligent diagnosis
  • Remote sensing and scientific data visualization
• Networking, IoT and cybersecurity for big data systems
  • 5G and 6G intelligent communication networks
  • Cybersecurity technologies and threat detection
  • Privacy-preserving analytics and encryption methods
  • Access control and cryptographic protocols
• Big data science, management and governance
  • Data quality, provenance and lifecycle management
  • Standards, programming models and toolkits
  • Open data platforms and sharing mechanisms
  • Enterprise and industrial data practices
• Intelligent energy systems and smart infrastructure analytics
  • Energy data analytics and demand response
  • Smart grid and infrastructure data platforms
  • AI and big data for sustainable energy systems
  • Distributed energy resource management
• Big data and intelligent computing for education and society
  • Learning analytics and educational data mining
  • Intelligent tutoring and personalized learning systems
  • AI-driven assessment and recommendation technologies
  • Social computing and public service applications

Who should Attend

• Researchers in big data and intelligent computing
• Data scientists and machine learning specialists
• Engineers in cloud, distributed and edge computing
• Industry professionals in blockchain and cybersecurity
• Academics and graduate students in computer science and information systems
• Policy makers and practitioners in data governance and smart infrastructure