Welcome to AIBD 2026

7th International Conference on Artificial Intelligence and Big Data (AIBD 2026)

February 27 ~ 28, 2026, Vancouver, Canada

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

Program Committee

More Details...



Accepted Papers

More Details...



Vancouver, Canada

More Details...



Scope Call for Participation

7th International Conference on Artificial Intelligence and Big Data (AIBD 2026) invites high quality research contributions that advance the theory, practice, and frontiers of AI and large scale data systems. As AI and Big Data technologies continue to transform science, industry, and society, AIBD 2026 provides a premier international forum for researchers, practitioners, and innovators to present breakthroughs, discuss emerging challenges, and shape the future of intelligent data driven systems.

 width=

Call for Papers


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

Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

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


  • Artificial Intelligence
  • Foundations of Artificial Intelligence
  • AI algorithms and optimization
  • Knowledge representation and reasoning
  • Computational learning theory
  • Heuristic search, planning, and decision making
  • Hybrid and neuro symbolic AI
  • Intelligent system architectures
  • Knowledge based and expert systems

  • Machine Learning & Deep Learning
  • Machine learning theory and methods
  • Deep learning architectures and training techniques
  • Neural networks and representation learning
  • Generative AI and foundation models
  • Multimodal learning (vision language audio)
  • Reinforcement learning and sequential decision making
  • Transfer, meta, and continual learning
  • Explainable, trustworthy, and responsible AI

  • Natural Language, Vision & Multimodal AI
  • Natural language processing and understanding
  • Large language models and prompting techniques
  • Speech, audio, and signal processing
  • Computer vision and pattern recognition
  • Cross modal reasoning and multimodal fusion

  • Robotics, Autonomous Systems & Intelligent Agents
  • Robotics and intelligent control
  • Human robot interaction
  • Autonomous navigation and decision systems
  • Multi agent systems and swarm intelligence
  • Big Data Foundations & Infrastructure
  • Big Data systems, platforms, and architectures
  • Distributed, cloud, and edge computing for data intensive workloads
  • High performance data processing and storage
  • Data engineering, pipelines, and workflow automation
  • 5G/6G and next generation networks for Big Data

  • Big Data Analytics & Applications
  • Data mining, knowledge discovery, and predictive analytics
  • Large scale graph analytics and network science
  • Social media, web, and behavioral analytics
  • Big Data applications in
  • healthcare, bioinformatics, finance, and smart cities
  • Real time and streaming data analytics

  • Data Management, Security & Governance
  • Big Data management, integration, and quality
  • Data search, indexing, and retrieval
  • Data privacy, security, and trust
  • Federated learning and privacy preserving analytics
  • Blockchain and distributed ledger technologies for data systems

  • AI for Big Data & Big Data for AI
  • Scalable machine learning on distributed systems
  • AI accelerated data processing
  • Data centric AI and dataset engineering
  • Optimization of AI workloads on cloud and edge platforms

  • Emerging Trends & Future Directions
  • Ethical, legal, and societal implications of AI and Big Data
  • Sustainable and green AI/data systems
  • Quantum machine learning and quantum data processing
  • Edge AI, TinyML, and on device intelligence
  • Advances in generative AI, autonomous agents, and AI safety

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 14, 2026(Final Call). 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

February 14, 2026(Final Call)

Authors Notification

February 24, 2026

Registration & camera - Ready Paper Due

February 25, 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


George Lu,USA


Jiabao Hu
Northeastern University
USA


Max Liu
USA


Rizwan Ahmad
FM 101 Radio Pakistan
Pakistan


Huaqiu Wu
United States


Baby Grace Llego
University of Idaho
USA