Iraqi Journal of Artificial Intelligence and Machine Learning (IJAIML)

About the Journal

The Iraqi Journal of Artificial Intelligence and Machine Learning (IJAIML) is a peer-reviewed open-access academic journal published quarterly by Office of the Vice President for Scientific Affairs, Al-Iraqia University, Baghdad, Iraq, and is dedicated to advancing research and innovation in the fields of artificial intelligence, machine learning, and intelligent systems. Published by leading scholars and professionals, the journal provides a global platform for researchers, engineers, and practitioners to share original findings, theoretical developments, and practical applications.

Aims and Scope

Iraqi Journal of Artificial Intelligence and Machine Learning (IJAIML) aims to foster scientific exchange and technological progress by publishing high-quality, original research articles, review papers, and technical reports that address emerging trends and challenges in AI and machine learning. The journal welcomes contributions in areas including, but not limited to:

Artificial Intelligence theory and applications
Machine and Deep Learning algorithms
Natural Language Processing and Computational Linguistics
Computer Vision and Image Understanding
Data Mining and Big Data Analytics
Robotics, Automation, and Intelligent Control Systems
Knowledge Representation and Expert Systems
AI in Healthcare, Education, and Industry
Ethical and Social Implications of AI

Mission and Vision

Mission: To promote scientific excellence and innovation in artificial intelligence research, with a special focus on advancing Iraq’s contribution to global AI knowledge.
Vision: IJAIML is envisioned as a regional hub for cutting-edge studies and collaborations that connect academia, industry, and policy makers toward a smarter and more sustainable digital future.

Publishing & Operational Details

Publisher: The journal is published locally, representing Iraqi and other scholarly contributions.
Infrastructure: The journal utilizes the Open Journal Systems (OJS) platform for its publishing workflow, with hosting, support, and customization provided by OJS-Services.com.
Access Policy: It operates as an Open Access journal.
Licensing: Content is published under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which allows for sharing and adapting the work provided proper attribution is given.

Indexing

Based on the journal's official records, it provides information on the following:

Indexing: The journal maintains an "Indexing" section, which lists its presence in academic databases and repositories.
Integrations: The journal website highlights integrations with organizations such as CrossRef (for digital object identifiers) and ORCID (for researcher identification).