NAS Journal of Artificial Intelligence and Computer Science (NASJAICS)
Abbreviation: NASJAICS | Published by NAS Publisher
About the Journal
Established in 2026, the NAS Journal of Artificial Intelligence and Computer Science (NASJAICS) is an official peer-reviewed, open-access international journal published by NAS Publisher (Country of Origin: India). Available in both online (e-ISSN: Pending) and print (p-ISSN: Pending) editions, the journal is published bimonthly in English, dedicated to publishing high-quality scholarly research across all branches of artificial intelligence, machine learning, deep learning, computer vision, data science, and core computer science computing paradigms. Operating under strict adherence to DOAJ principles of transparency and scholarly publishing integrity, NAS Journal of Artificial Intelligence and Computer Science (NASJAICS) offers a global platform for academics, researchers, and professionals.
Aims & Scope
NAS Journal of Artificial Intelligence and Computer Science (NASJAICS) aims to bridge theoretical and empirical inquiries within intelligent systems, algorithmic design, and advanced computing infrastructures. The scope includes, but is not limited to:
- Artificial Intelligence & Expert Systems
- Machine Learning & Deep Learning
- Natural Language Processing & LLMs
- Computer Vision & Pattern Recognition
- Data Science, Big Data Analytics & Mining
- Cloud, Edge & Distributed Computing
- Cybersecurity, Cryptography & Blockchains
- Algorithms, Theory & Software Engineering
Current Issue: Vol. 1 Issue. 1, September-October (2026)
View Full Issue Page →Explore the latest published research articles, scholarly papers, and contributions in our inaugural issue.
Editorial Board
NAS Journal of Artificial Intelligence and Computer Science (NASJAICS) is guided by an international panel of eminent scholars and researchers. All editors operate independently with strict conflict-of-interest disclosures.
Prof. Dr. Marcus Thorne
Department of Electrical Engineering and Computer Science, Stanford University, USA
Dr. Alok Sharma
NAS Publisher Academic Directorate, India
Peer Review Policy & Workflow
In accordance with DOAJ standards, NAS Journal of Artificial Intelligence and Computer Science (NASJAICS) enforces a rigorous double-blind peer review policy. Neither authors nor reviewers know each other's identities during evaluation. Reviewers evaluate manuscripts based on originality, methodological soundness, ethical compliance, and scholarly contribution.
Open Access Statement & Copyright
This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author, provided proper attribution is given. This is in accordance with the BOAI definition of open access.
All articles are published under the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license.
Publication Ethics & Malpractice Statement
NAS Journal of Artificial Intelligence and Computer Science (NASJAICS) follows the core practices and guidelines set forth by the Committee on Publication Ethics (COPE). We utilize advanced plagiarism detection software (Crossref Similarity Check / Turnitin) to screen all submissions prior to peer review.
Abstracting & Indexing
Articles published in NAS Journal of Artificial Intelligence and Computer Science (NASJAICS) will be submitted for formal indexing, DOI registration, and digital preservation metadata archiving in global academic databases immediately following the successful issuance of our official ISSN.
Note: All indexation applications and archiving pathways are actively queued and will be fully integrated upon ISSN assignment.