About the Journal

Explore: Computer Science & Artificial Intelligence is a peer-reviewed, open-access journal that provides a dynamic platform for high-quality, original research and applied innovations in computer science and AI. The journal fosters cross-disciplinary dialogue and technological advancement to address real-world challenges through intelligent systems and computational theory.

Current Issue

Vol. 1 No. 1 (2025)

Explore Computer Science & Artificial Intelligence is a peer-reviewed, open-access journal that publishes original research, reviews, and case studies across all areas of computer science and the rapidly evolving field of artificial intelligence (AI). This issue is dedicated to advancing the theoretical foundations, technical innovations, and real-world applications of intelligent systems and computational technologies.

We welcome high-quality contributions in, but not limited to, the following focus areas:

  • Machine Learning, Deep Learning, and Neural Networks

  • Natural Language Processing (NLP) and Speech Technologies

  • Computer Vision and Image Processing

  • Robotics and Autonomous Systems

  • Data Science, Big Data Analytics, and Data Mining

  • Algorithms, Programming, and Software Engineering

  • Cybersecurity, Cryptography, and Privacy

  • Human-Computer Interaction (HCI) and User-Centered Design

  • Cloud Computing, Edge Computing, and Distributed Systems

  • Internet of Things (IoT) and Smart Systems

  • AI Ethics, Bias, and Responsible AI

  • AI Applications in Health, Education, Agriculture, and Industry

This issue seeks to bridge the gap between academic research and practical deployment of AI and computer science innovations. Contributions from interdisciplinary and applied perspectives are especially encouraged.

The journal aims to serve as a platform for global collaboration and knowledge sharing among researchers, developers, engineers, and policy-makers shaping the digital future.

Published: 2025-07-25
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The journal provides a global platform for researchers, developers, and professionals to share innovative work in theoretical and applied aspects of computer science, artificial intelligence, and machine learning.

ECSAI welcomes original research articles, review papers, technical notes, and case studies that address fundamental challenges and emerging trends in:

Machine Learning & Deep Learning, Natural Language Processing, Computer Vision, Robotics and Automation, Software Engineering, IoT and Smart Systems, Cybersecurity, Big Data and Cloud Computing, AI Ethics and Governance.

By promoting interdisciplinary research and technological advancement, ECSAI aims to contribute to both academic excellence and real-world innovation in the digital age.