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

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    Website https://acsty2026.org/aibd/index | Want to Edit it Edit Freely

    Category Artificial Intelligence; Computational Theories of Learning; Data Mining and Machine Learning Tools

    Deadline: January 10, 2026 | Date: February 27, 2026-February 28, 2026

    Venue/Country: Vancouver, Canada

    Updated: 2026-01-09 18:42:56 (GMT+9)

    Call For Papers - CFP

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

    February 27 ~ 28, 2026, Vancouver, Canada

    https://acsty2026.org/aibd/index

    Call for Papers

    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.

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

    Artificial Intelligence

    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 system

    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 January 10, 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).

    Selected papers from AIBD 2026, after further revisions, will be published in the special issue of the following journal.

    International Journal of Data Mining & Knowledge Management Process (IJDKP)

    International Journal of Artificial Intelligence & Applications (IJAIA)

    Machine Learning and Applications: An International Journal (MLAIJ)

    Important Dates

    Second Batch : Submissions after December 29, 2025

    Submission Deadline: January 10, 2026

    Authors Notification: February 10, 2026

    Registration & camera – Ready Paper Due: February 17, 2026

    Contact Us

    Here’s where you can reach us : aibdatacsty2026.org (or) aibdconfeatgmail.com


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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