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Call for Papers

About IDEA 2026

The Intelligent Data Engineering and AI 2026 (IDEA 2026) conference aims to bring together researchers, practitioners, and industry experts to discuss the latest advancements in data engineering, artificial intelligence, and their real-world applications. The conference will provide a platform for the exchange of innovative ideas, novel methodologies, and groundbreaking research in these rapidly evolving domains. IDEA 2026 will include keynote talks, technical paper and poster presentations, panel discussions, and workshops.

Objectives

The primary objective of IDEA 2026 is to create a leading international forum for researchers, academics, and industry professionals to present and discuss the latest advancements in intelligent data engineering and artificial intelligence.

The conference aims to foster interdisciplinary collaborations by bridging the gap between theoretical foundations and practical applications in AI-driven systems. With the rapid proliferation of data-centric technologies, IDEA 2026 seeks to explore novel computational techniques, scalable data engineering methodologies, and responsible AI practices.

The conference will also focus on addressing the ethical, legal, and social implications of AI, ensuring fairness, transparency, and accountability, while encouraging real-world case studies that demonstrate the transformative impact of AI and data science.

Conference Tracks & Topics

Track 1: Intelligent Data Engineering & Big Data
  • Scalable Data Processing and Storage
  • Knowledge Graphs and Semantic Data Engineering
  • Data Cleaning, Integration, and Transformation
  • Data Security, Privacy, and Governance
  • High-Performance Computing for AI
Track 2: Machine Learning & Deep Learning
  • Deep Learning Architectures and Optimization
  • Generative AI and Foundation Models
  • Federated and Distributed Learning
  • Explainable AI
  • Reinforcement Learning and Sequential Decision-Making
Track 3: Computer Vision & Natural Language Processing
  • Image and Video Analysis
  • AI for Remote Sensing and Medical Imaging
  • Speech Processing and Conversational AI
  • NLP for Sentiment Analysis
  • Multimodal AI
Track 4: Ethical, Fair & Responsible AI
  • Bias Detection and Fairness
  • Privacy-Preserving Machine Learning
  • AI Policy and Governance
  • Human-AI Collaboration
  • AI for Sustainability
Track 5: AI Applications & Case Studies
  • AI in Healthcare
  • AI in Finance
  • AI for Smart Cities
  • AI in Business Intelligence
Track 6: Emerging Trends & Future Directions
  • Next-Generation AI Architectures
  • Edge AI and Real-Time Decision-Making
  • Neuromorphic Computing
  • AI Safety and Alignment
  • Global AI Ethics
 

For general conference information including important dates, registration, venue, committees, and travel details, please visit the IDEA 2026 home page.

Go to IDEA 2026 Home Page