Call for Papers - IRSIAC 2026

Peer Review Process

Every submission goes through a rigorous double-blind review by independent experts in the field, a minimum of 2 - 3 reviewers per paper - with a fourth review called in for borderline cases. Each reviewer scores the paper against five criteria, with mandatory written comments to support the final decision.

Originality & Novelty

Does the paper present new ideas, methods, or findings?

Technical Soundness

Validity and rigor of the methodology, experiments, and conclusions.

Significance & Impact

Contribution to advancing knowledge or practice in the field.

Clarity & Presentation

Quality of the writing, organization, figures, and references.

Relevance

Alignment with the conference scope and the track submitted to.

All submitted manuscripts are screened for textual similarity prior to review. Submissions exceeding a maximum similarity threshold of 15–20% will not be considered for publication.

Submission Guidelines

Full papers

12–15 pages, including figures, tables, and references

Language

English exclusively

Template

Standard proceedings template (LaTeX or Word) — links to be provided to authors of accepted papers

Submission platform

Microsoft CMT - IRSIAC2026

Review process

Double-blind — remove all author names and identifying information before submission

Reviewers

2-3 independent reviewers per paper (a 4th review for borderline cases)

Acceptance rate

Target 25–30%

Plagiarism check

Textual-similarity screening — maximum 15–20% similarity

Originality

Manuscripts must be unpublished and not under review elsewhere

Authors are strongly encouraged to register for an ORCID iD and to associate it with their submission.

Publication & Indexing
All accepted and presented papers will be published in an internationally peer-reviewed conference proceedings volume. Full publication details will be announced upon confirmation.

Conference Tracks

Track I

Machine Learning & Data Science

Supervised, unsupervised, and reinforcement learning.
Feature engineering and dimensionality reduction.
Explainable AI (XAI) and interpretable models.
Data mining, knowledge discovery, and pattern recognition.
Statistical learning and probabilistic models.

Track II

Deep Learning & Neural Networks

Convolutional neural networks (CNN) and architectures.
Recurrent networks, LSTM, and transformer models.
Generative models: GANs, VAEs, diffusion models.
Neural architecture search and model optimization.
Transfer learning and few-shot learning.

Track III

Computer Vision & Image Processing

Object detection, recognition, and segmentation.
Medical image analysis and biometric systems.
Video analysis and action recognition.
3D vision, depth estimation, and scene understanding.
Remote sensing and satellite image processing.

Track IV

Natural Language Processing

Text classification, sentiment analysis, and opinion mining.
Machine translation and multilingual NLP.
Question answering, dialogue systems, and chatbots.
Information extraction and knowledge graphs.
Arabic and Amazigh NLP (regional focus).

Track V

IoT & Smart Systems

Intelligent sensor networks and edge AI.
Smart cities, smart grids, and sustainable systems.
Autonomous systems and robotics intelligence.
Industrial IoT and predictive maintenance.
Real-time embedded AI systems.

Track VI

Cybersecurity & AI

AI-driven intrusion detection and anomaly detection.
Adversarial machine learning and robustness.
Privacy-preserving AI and federated learning.
Threat intelligence and malware analysis with ML.
Blockchain and AI for secure systems.

Ready to Submit Your Paper?

Ensure your document follows the conference guidelines before submitting.
For any inquiries, contact us at contact.irsiac@gmail.com

Submit your Paper

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.