Current Issue

Vol. 1 No. 1 (2026): Atlas Computer Science journal

Published: 2026-02-01

Atlas Computer Science Journal

A High-Impact Platform for AI, Optimization & Intelligent Systems

Description

The Atlas Computer Science Journal is an international peer-reviewed journal dedicated to publishing high-quality research in computer science and interdisciplinary domains. It serves as a scientific platform for researchers and practitioners to disseminate innovative methodologies, hybrid models, and advanced computational paradigms.

The journal emphasizes emerging trends such as artificial intelligence, metaheuristic optimization, data-driven systems, and intelligent decision-making frameworks, particularly for large-scale and NP-hard real-world problems.

Main Topics & Research Areas

Artificial Intelligence

Machine learning, deep learning, explainable AI, and intelligent systems.

Optimization

Metaheuristics, hybrid algorithms, combinatorial and global optimization.

Data Science

Big data analytics, predictive modeling, and intelligent data processing.

Cybersecurity

Secure systems, cryptography, intrusion detection, and privacy-preserving AI.

Smart Systems

IoT, smart cities, cyber-physical systems, and autonomous systems.

Software Engineering

Advanced architectures, DevOps, testing, and scalable systems.

Journal Summary

Atlas Computer Science Journal publishes cutting-edge contributions in areas such as machine learning, deep learning, combinatorial optimization, and cloud computing. The journal prioritizes innovative hybrid methodologies combining AI and optimization techniques.

It promotes interdisciplinary research and ensures a fast, rigorous peer-review process aligned with international scientific publishing standards.

About the Journal

Open Access Policy: Full open access ensuring global visibility and accessibility.

Scope: AI, optimization, computational intelligence, and emerging technologies.

Copyright: Authors retain rights under Creative Commons licensing.

Archiving: Supported by LOCKSS and CLOCKSS for long-term preservation.

Privacy: Strict confidentiality for all submitted data.

Mission: To advance high-impact, real-world applicable research in computer science.