Call for Papers

Explore the thematic tracks and submit your original research contributions.

Peer Review Process

Every submission goes through a rigorous double-blind review by independent experts in the field, with two to three reviewers per paper and an additional review called in for borderline cases. Each reviewer scores the paper against five criteria, with mandatory written comments to support the final decision.

1

Originality & Novelty

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

2

Technical Soundness

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

3

Significance & Impact

Contribution to advancing knowledge or practice in the field.

4

Clarity & Presentation

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

5

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) — to be published when the submission portal opens
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 (an additional 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Manuscripts must be unpublished and not under review elsewhere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 & Deep Learning

  • Supervised, unsupervised, and reinforcement learning.
  • Explainable AI (XAI), statistical and probabilistic learning.
  • Data mining, knowledge discovery, and pattern recognition.
  • CNNs, transformers, and large language models.
  • Generative models: GANs, VAEs, diffusion models.
  • Transfer, few-shot, and self-supervised learning.
Track II

Computer Vision & Natural Language Processing

  • Object detection, recognition, and segmentation.
  • Medical image analysis and remote sensing.
  • Video understanding and 3D vision.
  • Machine translation, question answering, and dialogue systems.
  • Information extraction and knowledge graphs.
  • Arabic and Amazigh NLP (regional focus).
Track III

Intelligent & Secure Systems

  • Edge AI, TinyML, and intelligent sensor networks.
  • Smart cities, digital twins, and autonomous systems.
  • Industrial IoT and predictive maintenance.
  • AI-driven intrusion and anomaly detection.
  • Adversarial ML, privacy-preserving AI, and federated learning.
  • Blockchain and AI for secure systems.

Submissions Opening Soon

The submission portal on Microsoft CMT will open shortly, together with the formatting template.
To be notified when it opens, or for any inquiries, contact us at contact.irsiac@gmail.com

Submission Portal (Opening Soon)

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.