Paper Submission

 

Submission Guidelines:

Manuscripts should be written in English with a single-column, single-space format. Each newly submitted paper should be 10 pages including figures and references. The format to submit the papers is available at Springer (see Instructions for Authors on Springer’s website). Or you can download Springer Word format. All submitted papers will be judged based on their quality by the technical committee.

The main submission guidelines are:

  1. Prepare your paper based on Springer Word format.
  2. Submit your paper online using IRICT 2025 Easychair account.
  3. IRICT 2025 submissions are required to be double blind (anonymous submissions). In order for the paper to be reviewed, please remove the authors names and affiliations from the paper and upload the pdf file to your Easychair account.
  4. The number of pages should not exceed 10 pages. 
  5. The important Dates are:

    Full Paper Submission (Deadline):                            1 October 2025

    Notification of Acceptance:                                    15 October 2025  1 November 2025

    Camera Ready Submission (Deadline):                    1 November 2025  15 November 2025

    Registration (Deadline):                                            15 November 2025

IRICT 2025 Tracks

1. Advances in Artificial Intelligence

Topics:

  • Deep Learning Architectures and Applications
  • Transfer, Federated, and Meta Learning
  • Explainable and Responsible AI
  • Evolutionary and Swarm Intelligence Algorithms
  • Natural Language Processing and Conversational AI
  • Multi-Objective and Reinforcement Learning
  • Hybrid AI Models and Optimization Techniques
  • Computational Intelligence for Complex Systems
  • AI in Real-Time and Edge Computing
  • Advanced AI applications in education

2. AI-Driven Health Informatics

Topics:

  • AI for Medical Imaging and Diagnostics
  • Predictive Analytics for Patient Monitoring
  • Machine Learning in Clinical Decision Support
  • Deep Learning for Bioinformatics
  • Natural Language Processing for Medical Records
  • Federated Learning for Healthcare AI
  • AI-Enhanced Health Information Systems
  • Big Data Analytics in Public Health

3. AI-Driven Data Science and Analytics

Topics:

  • AI-Powered Big Data Processing and Visualization
  • Predictive Modeling and Time Series Forecasting
  • AI for Behavioral and Social Data Analysis
  • Pattern Recognition in High-Dimensional Data
  • Intelligent Data Mining Techniques
  • AI in Knowledge Graphs and Semantic Analytics
  • Ethical AI and Data Governance
  • Intelligent Data Integration and Fusion

4. Intelligent IoT and Cybersecurity Applications

Topics:

  • AI-Enabled Smart Homes and Smart Cities.
  • IoT Data Analytics and Decision Making
  • Internet of Medical Things (IoMT)
  • Autonomous IoT Systems
  • AI for Smart Infrastructure
  • Deep Learning for Intrusion Detection
  • AI-Based Anomaly Detection
  • Malware Detection Using AI
  • Machine Learning and Cyber Defense
  • Privacy-Preserving Machine Learning

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