posted by user: Busra || 192 views || tracked by 2 users: [display]

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

FacebookTwitterLinkedInGoogle

Link: https://acsty2026.org/aibd/index
 
When Feb 27, 2026 - Feb 28, 2026
Where Vancouver, Canada
Submission Deadline Jan 10, 2026
Notification Due Feb 10, 2026
Final Version Due Feb 17, 2026
Categories    artificial intelligence   big data   machine learning   computer science
 

Call For Papers

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.

Scope & Topics

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.

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 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 (H index 45) 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 journals.

Important Dates

Submission Deadline: January 10, 2026
Authors Notification: February 10, 2026
Final Manuscript Due: February 17, 2026

Co - Located Event

***** The invited talk proposals can be submitted to aibd@acsty2026.org

Related Resources

AIBD 2026   7th International Conference on Artificial Intelligence and Big Data
Ei/Scopus-ITCC 2026   2026 6th International Conference on Information Technology and Cloud Computing (ITCC 2026)
AITC--EI 2026   2026 8th International Artificial Intelligence Technology Conference (AITC 2026)
IEEE-ICECCS 2026   2025 IEEE International Conference on Electronics, Communications and Computer Science (ICECCS 2026)
IEEE ICNLP 2026   IEEE--2026 The 8th International Conference on Natural Language Processing (ICNLP 2026)
Ei/Scopus-CEICE 2026   2026 3rd International Conference on Electrical, Information and Communication Engineering (CEICE 2026)
CSECS 2026   2026 IEEE 8th International Conference on Software Engineering and Computer Science (CSECS 2026)
AMLDS 2026   IEEE--2026 2nd International Conference on Advanced Machine Learning and Data Science
EI/Scopus-HBD 2026   2026 2nd International Conference on Health Big Data-EI/Scopus
Ei/Scopus-CMLDS 2026   2026 3rd International Conference on Computing, Machine Learning and Data Science (CMLDS 2026)