Welcome to BDAB 2026

7th International Conference on Big Data and Blockchain (BDAB 2026)

February 27 ~ 28, 2026, Vancouver, Canada

Hybrid--Registered authors can present their work online or face to face New

Program Committee

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Accepted Papers

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Vancouver, Canada

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Scope

7th International Conference on Big Data and Blockchain (BDAB 2026) invites high quality research contributions that advance the theory, systems, and applications of large scale data analytics and decentralized technologies. As Big Data, AI, and Blockchain continue to converge and reshape digital ecosystems, BDAB 2026 provides a premier international forum for researchers, practitioners, and industry innovators to present breakthroughs, discuss emerging challenges, and explore the future of trustworthy, data driven systems.

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Call for Papers


We welcome original research papers, visionary ideas, industrial case studies, and system demonstrations.

Topics of interest include, but are not limited to, the following


  • Big Data Foundations & Infrastructure

  • Big Data architectures, platforms, and distributed systems
  • Cloud, edge, and grid computing for large scale data processing
  • High performance data storage, indexing, and retrieval
  • Data engineering, pipelines, and workflow automation
  • 5G/6G networks and next generation connectivity for Big Data

  • Big Data Analytics, Mining & Applications

  • Data mining, knowledge discovery, and predictive analytics
  • Large scale graph analytics and network sciencea
  • Social media, behavioral, and web analytics
  • Big Data applications in bioinformatics, healthcare, finance, and multimedia
  • Real time and streaming data analytics
  • Machine learning and AI for Big Data systems

  • Data Management, Governance & Trust

  • Big Data management, integration, and quality
  • Data governance, provenance, and lifecycle management
  • Privacy preserving data analytics and secure computation
  • Big Data security, privacy, and trust frameworks
  • Federated learning and distributed data processing

  • Big Data Techniques, Models & Algorithms

  • Scalable algorithms for high dimensional and large volume data
  • Statistical models and probabilistic reasoning
  • Optimization techniques for large scale learning
  • Visualization of complex and high dimensional datasets
  • Data centric AI and dataset engineering

  • Blockchain Foundations & Core Technologies

  • Blockchain architectures, protocols, and system design
  • Consensus algorithms (PoS, BFT, DAG based, hybrid models)
  • Smart contracts: design, verification, and security
  • Distributed ledger technologies (DLT) and Web3 infrastructure
  • Blockchain scalability, performance, and interoperability
  • Blockchain Security, Privacy & Trust
  • Blockchain attacks, vulnerabilities, and threat modeling
  • Authentication, authorization, and identity management
  • Zero knowledge proofs and privacy enhancing technologies
  • Secure blockchain based IoT systems
  • Blockchain for digital forensics and auditability

  • Blockchain Applications & Emerging Trends

  • Blockchain for supply chain, finance, healthcare, and government
  • Tokenomics, decentralized finance (DeFi), and digital assets
  • Decentralized autonomous organizations (DAOs)
  • Blockchain enabled cyberphysical and IoT systems
  • Crosschain communication and interoperability protocols

  • Convergence of Big Data, AI & Blockchain

  • Blockchain based data sharing and secure data marketplaces
  • AI driven blockchain optimization and analytics
  • Big Data pipelines for blockchain monitoring and anomaly detection
  • Trustworthy AI using blockchain for transparency and auditability
  • Distributed AI and federated learning over blockchain networks

  • Future Directions & Frontier Technologies

  • Quantum resistant blockchain and postquantum cryptography
  • Green and energy efficient Big Data and blockchain systems
  • Autonomous agents and decentralized intelligence
  • Ethical, legal, and societal implications of Big Data and blockchain
  • Nextgeneration decentralized applications (dApps) and Web3 ecosystems

Paper Submission

Authors are invited to submit papers through the conference Submission System by January 31, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Important Dates

Second Batch : (Submissions after December 29, 2025)
Submission Deadline

January 31, 2026

Authors Notification

February 10, 2026

Registration & camera - Ready Paper Due

February 17, 2026

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Sponsors





Speakers



Jiawei Zhang
USA


David Kuhlen
Technische Hochschule Lubeck
Germany


Jiabao Hu
Northeastern University
USA