The ASIAN Journal of Algorithmic Horizons and Emergent Computation (AJAHEC) is an international, peer-reviewed, open-access journal dedicated to advancing research in algorithms, artificial intelligence, computational theory, emergent computation, and next-generation computing systems. The journal aims to promote high-impact research that connects foundational algorithmic innovation with practical applications in science, engineering, industry, and society. AJAHEC encourages interdisciplinary research linking computation with natural sciences, engineering, social sciences, humanities, and emerging technological ecosystems. The journal supports responsible and ethical research, particularly in artificial intelligence, machine learning, advanced computing, and data-driven systems.

International, peer-reviewed journal. Open access publishing. Double-blind peer-review process. Creative Commons Attribution CC BY 4.0 license. Gold open-access model. Article processing charges waived until December 2028.

Algorithmic theory and design; approximation algorithms; randomized and probabilistic algorithms; distributed algorithms; parallel algorithms; online and streaming algorithms; graph algorithms; network optimization; parameterized algorithms; computational complexity; computability; formal computation models; algorithmic game theory; mechanism design; algorithmic information theory; machine learning; artificial intelligence; deep learning; representation learning; reinforcement learning; explainable AI; trustworthy AI; federated learning; privacy-preserving machine learning; online learning; algorithmic fairness; emergent computation; complex systems; swarm intelligence; multi-agent systems; cellular automata; artificial life; complex networks; bio-inspired computing; evolutionary algorithms; genetic programming; memetic algorithms; quantum computing; quantum algorithms; neuromorphic computing; spiking neural networks; DNA computing; molecular computing; analog computing; reversible computing; big-data algorithms; large-scale optimization; streaming analytics; blockchain algorithms; cloud computing; edge computing; fog computing; robotics; autonomous systems; smart cities; cyber-physical systems; computational biology; bioinformatics; financial engineering; algorithmic trading; natural language processing; computer vision; human-computer interaction; adaptive systems.

Original research articles; review articles; survey papers; applied studies; methodological papers; technical notes; short communications; perspectives; commentaries; interdisciplinary research articles; research elements; data papers; software papers; methods papers; protocols.

All articles are published under the Creative Commons Attribution CC BY 4.0 license. Authors retain appropriate rights to share and reuse their work according to the license terms. Published articles are immediately and freely available to readers worldwide without subscription barriers. AJAHEC supports responsible sharing, preprint posting, self-archiving, and open dissemination of accepted and published research. Authors may post preprints on reputable servers such as arXiv before or during peer review, provided this is disclosed during submission. After publication, authors should update the preprint record with the final article link and DOI.

Every manuscript undergoes an initial editorial assessment by the Editor-in-Chief or an Associate Editor. Submissions are checked for scope fit, novelty, baseline quality, ethical compliance, and adherence to journal policies. Suitable manuscripts enter a double-blind peer-review process, where authors and reviewers remain anonymous. Manuscripts are typically evaluated by at least two independent reviewers with relevant expertise. Reviewers provide evidence-based comments and recommendations. Final editorial decisions may include accept, minor revision, major revision, reject, or transfer recommendation where applicable. Authors invited to revise must submit a detailed point-by-point response to reviewer comments. Accepted manuscripts proceed to copy-editing, typesetting, proof correction, and online publication

AJAHEC is committed to strong publication ethics, research integrity, transparency, and responsible scholarly communication. Authors, reviewers, and editors are expected to follow recognized international standards of publication ethics, including principles aligned with COPE guidance. Authors must submit original work and avoid plagiarism, self-plagiarism, data fabrication, data falsification, inappropriate image or figure manipulation, citation manipulation, duplicate publication, and unethical authorship practices. Where applicable, authors must provide clear ethics statements for studies involving human participants, human data, animals, biological materials, sensitive data, hazardous materials, or dual-use research. Manuscripts should include statements on informed consent, data protection, ethical approval, competing interests, funding sources, author contributions, data availability, and use of generative AI tools. Generative AI tools and large language models cannot be listed as authors. If AI tools are used for writing assistance, code generation, analysis support, or figure preparation, authors must disclose how they were used. Human authors remain fully responsible for the accuracy, originality, integrity, citations, data, and conclusions of the manuscript.