AI in Computer Science

Bridging Artificial Intelligence Research with Computer Science Foundations

AI in Computer Science is an international peer-reviewed journal dedicated to publishing high-quality research, innovations, and advancements in the field of Artificial Intelligence and its applications in Computer Science.

Volume 1, Issue 1

June 2026

Open Access
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Our Vision

The vision of AI in Computer Science is to become a globally recognized journal that contributes to the advancement of Artificial Intelligence technologies and promotes innovative research in computer science for the betterment of society and future technological growth.

Broad Interdisciplinary Coverage

Integrates computer science with artificial intelligence, data science, software engineering, cybersecurity, cloud computing, Internet of Things (IoT), robotics, human-computer interaction, and emerging computational technologies.

Global Scientific Accessibility

Promotes worldwide dissemination of high-quality computer science and AI research through an open access publishing model, ensuring unrestricted access to knowledge and innovation.

Innovation-Oriented Research

Encourages pioneering research in machine learning, deep learning, generative AI, intelligent systems, autonomous computing, quantum computing, edge computing, and next-generation digital technologies.

Real-World Applications

Supports research that translates computational theories into practical solutions for industries including healthcare, education, finance, manufacturing, agriculture, transportation, smart cities, and environmental sustainability.

Ethical and Responsible AI

Advocates the development of trustworthy, transparent, fair, secure, and privacy-preserving AI systems while promoting responsible innovation, governance, and compliance with ethical standards.

High Research Diversity

Welcomes theoretical, experimental, computational, algorithmic, interdisciplinary, translational, and applied research across all areas of artificial intelligence and computer science, fostering collaboration between academia, industry, and government to accelerate technological advancement.

Journal Focus & Subject Areas

AI in Computer Science covers a broad spectrum of emerging and established domains in artificial intelligence, computer science, intelligent computing, and advanced computational technologies.

Why Choose Us

Why Choose Us

AI in Computer Science is a pioneering open-access journal dedicated to advancing the intersection of artificial intelligence and modern computer science. We provide a rigorous, collaborative, and globally connected platform for researchers shaping the future of intelligent computing systems and digital technologies.

Rigorous Peer Review Process

Every manuscript submitted to our journal undergoes a thorough double-blind peer review conducted by international experts in artificial intelligence, computer science, and advanced computational research — ensuring the highest standards of scientific quality, originality, and integrity.

Rapid & Transparent Publication

We are committed to a fast, fair, and fully transparent editorial workflow. Authors receive timely feedback, clear communication at every stage, and rapid online publication upon acceptance, maximizing the visibility and impact of their research contributions.

Broad Interdisciplinary Scope

Our journal welcomes research across artificial intelligence, machine learning, deep learning, data science, software engineering, cybersecurity, cloud computing, IoT, robotics, and emerging computing paradigms — making it a comprehensive platform for cutting-edge computer science and AI research.

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Statistical Mistakes That Lead to Rejection

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Peer Review in the Age of AI | How Research Is Evaluated Today

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AI flooded publishing, editors reject in seconds

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Understanding Open Access and APCs — What to Pay, What to Avoid

Journal at a Glance

We are committed to accelerating the pace of AI-driven clinical research by connecting brilliant minds across borders, disciplines, and institutions.

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Editorial Board

We are committed to accelerating the pace of AI-driven clinical research by connecting brilliant minds across borders, disciplines, and institutions.

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Editorial Board Member

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Editorial Board Member

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Editorial Board Member

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