The ASIAN Journal of Algorithmic Horizons and Emergent Computation (AJAHEC) is an international, open-access, peer-reviewed journal dedicated to advancing research in algorithms, artificial intelligence, computational theory, emergent computation, and next-generation intelligent systems. The journal provides a scholarly platform for researchers, academics, engineers, and practitioners working at the intersection of theoretical computer science, applied computing, data-driven technologies, and responsible AI.

AJAHEC aims to publish high-quality original research, review articles, applied studies, and interdisciplinary contributions that address both foundational and emerging areas of computation. The journal welcomes work in algorithmic theory and design, complexity theory, machine learning, artificial intelligence, distributed and parallel computing, quantum and neuromorphic computing, bio-inspired computation, large-scale data systems, robotics, smart systems, computational biology, natural language processing, computer vision, and human-computer interaction.

The journal is committed to rigorous scientific standards, ethical publishing, and transparent communication with authors, reviewers, editors, and readers. AJAHEC follows a double-blind peer-review process to support fair and unbiased evaluation, where author and reviewer identities are kept confidential during review. Manuscripts are assessed for originality, technical soundness, methodological rigor, clarity, scope relevance, and compliance with ethical and reporting standards.

As an open-access journal, AJAHEC supports the broad dissemination of research without paywall barriers. Articles are made freely available to the global academic and professional community, encouraging wider visibility, citation, collaboration, and practical impact. The journal supports responsible sharing, preprint posting, self-archiving, and transparent data availability practices.

To protect the integrity of the scholarly record, AJAHEC requires authors to submit original work, properly acknowledge prior research, disclose conflicts of interest and funding sources, and follow recognized standards of research ethics. The journal expects transparency in the use of generative AI tools, requires authors to remain fully responsible for submitted content, and does not permit AI tools to be listed as authors. Where applicable, authors must provide ethical approval, informed consent, data protection statements, and permissions for third-party material.

AJAHEC is especially focused on supporting research that connects computational innovation with real-world applications in science, engineering, industry, society, and emerging technological ecosystems. The journal encourages interdisciplinary submissions that bridge theory and practice and contribute to responsible, ethical, and impactful computational advancement.