About the Journal

Computer Science Journal offers a focused space for publishing advanced research, real-world case studies, implementation reports, and conceptual explorations across the broad spectrum of computing disciplines. Our goal is not volume, but value contributions that matter, that are reusable, and that push conversations forward.

Focus & Scope Includes (but is not limited to):

  • Artificial Intelligence, Machine Learning, and Deep Learning

  • Cybersecurity, Cryptography, and Digital Trust

  • Software Engineering and Agile Development

  • Computer Architecture, Hardware Design, and Embedded Systems

  • Networking, IoT, and Edge Computing

  • Human-Computer Interaction (HCI) and UX Design

  • Theoretical Computer Science and Algorithms

  • Blockchain, Distributed Systems, and Cloud Infrastructure

  • Data Science, Big Data Analytics, and Visualization

  • Computing and Ethics, AI governance, and Digital Sovereignty

Open Access Policy
All published content is openly available under the Creative Commons Attribution 4.0 (CC BY 4.0) license. No paywalls, no delayed access. Research is freely shared with developers, educators, students, and communities that need it most whether they are at a top university or building from a dorm room.

Copyright & Licensing
Authors keep full rights to their work. When you publish here, you are not handing over ownership you are simply granting us permission to distribute your work under CC BY, maximizing global visibility.

Peer Review Process
We use a double-blind peer review method to ensure fairness, accuracy, and technical robustness. Reviewers are selected based on direct experience in the topic of submission often practitioners, researchers, and engineers actively working in the space. Our process is fast but rigorous, with a typical review cycle of 3–5 weeks.

Privacy & Data Policy
The privacy of authors, reviewers, and readers is fully respected. No tracking, no hidden data collection, and no third-party selling. All data is secured and minimal.

Who Should Submit or Read?
We welcome work from computer scientists, developers, engineers, graduate students, startup teams, and hobbyists anyone contributing meaningfully to the field. We especially encourage submissions from underrepresented regions and communities, and we accept well-documented code, visualizations, and modular technical reports alongside traditional research articles.