Call For Paper

Date Lines

Important Dates

Full Paper Submission

15th January, 2026

Notification of Acceptance

20th February, 2026

Camera Ready Submission

01st March, 2026

Conference Event

03rd - 05th April, 2026
Paper Submission

Guideline For Paper Submission

  • The original unpublished research papers, articles & working papers on the topics related to the theme are invited for submission in the conference.
  • Kindly ensure that your paper is formatted as per IEEE Guidelines. Please refer the IEEE template for preparation of your paper.
  • All papers must be submitted online via Microsoft CMT submission portal.
  • All submissions will be thoroughly peer-reviewed by experts based on originality, significance and clarity.
  • Only papers presenting original content with novel research results or successful innovative applications will be considered for publication in the conference proceedings.
Plagiarism Policy

Plagiarism Policy for Paper Submission

  • The paper prior to submission must be checked for plagiarism from licensed plagiarism software like Turnitin/iAuthenticate etc. The similarity content should not exceed 15% (in any case either self contents or others).
  • Any form of self-plagiarism or plagiarism from others' work(s) should not be there in an article. If any model / concept / figure / table / data / conclusive comment by any previously published work is used in your article, you should properly cite a reference to the original work.
  • Also, the language of explaining it should not be the same as the language of the work from which you have adopted it. If you are using any copyrighted material, you should acquire prior permission from the copyright holder.
Paper Category

TRACK I: AI for Industrial Intelligence

  • Predictive maintenance using deep learning models
  • Reinforcement learning in autonomous industrial systems
  • AI-based quality inspection in manufacturing
  • Natural language processing for industrial documentation
  • Explainable AI (XAI) in critical industry operations
  • Computer vision for industrial safety and defect detection
  • Adaptive AI algorithms for dynamic industrial environments
  • AI in robotic process automation for factories
  • Federated learning across distributed industrial data sources
  • Generative AI for industrial design and prototyping
  • AI for energy optimization in smart buildings and plants
  • Ethics, trust, and governance in industrial AI applications

TRACK II: Edge-Enabled Industrial IoT

  • Architectures for scalable Industrial IoT systems
  • Smart sensors and real-time data fusion in industrial environments
  • Edge AI for latency-sensitive industrial processes
  • Digital twin technology for real-time system modeling
  • Secure communication protocols for IIoT networks
  • Integration of legacy systems with modern IoT infrastructure
  • Industrial automation using cyber-physical systems (CPS)
  • Interoperability and open standards in IIoT ecosystems
  • 5G and next-gen networks for ultra-reliable industrial communication
  • Blockchain for secure industrial data exchange
  • Fault detection and self-healing mechanisms in IIoT
  • Resilient infrastructure design for mission-critical applications

TRACK III: Applied Connected Intelligence

  • Connected Intelligence in healthcare
  • Connected Intelligence in agriculture and food system
  • Connected Intelligence in Smart Cities & Urban Infrastructure
  • Connected Intelligence in Energy & Environment
  • Connected Intelligence in Transportation & Mobility
  • Connected Intelligence in Education & Skill Development
  • Connected Intelligence in Public Safety & Disaster Management
  • Connected Intelligence in Finance & Public Services
  • Connected Intelligence in Environmental Monitoring
  • Connected Intelligence in Disaster Prediction & Risk Management
  • Connected Intelligence in Smart Buildings & Home Automation

TRACK IV: Emerging Technologies and Cross-disciplinary Innovations

  • Quantum Computing for Industrial Intelligence
  • Brain-Inspired Computing in IIoT
  • Human Digital Twins and Cognitive Augmentation
  • Synthetic Data Generation for Industrial AI Training
  • AI-Enabled Multi-Agent Systems in Industrial Ecosystems
  • Digital Bio-Manufacturing and Smart Labs
  • Extended Reality (XR) in Connected Intelligence Environments
  • Convergence of 6G, Edge, and AI for Hyperconnected Industries
  • AI and IoT for Circular Economy and Zero-Waste Manufacturing
  • Scalable edge-cloud architecture for IIoT