About the Journal

About the Journal

NextGen AI & Computing Journal (NAC) is a premier, gold open-access, and double-blind peer-reviewed international platform dedicated to the rapid dissemination of high-impact research in the evolving landscapes of artificial intelligence and advanced computing systems. Published by Scientia Nexus, NAC serves as a global forum for engineers, data scientists, and researchers to bridge the gap between theoretical innovations and industrial applications.

The journal is committed to maintaining the highest standards of publication ethics and offers a rigorous peer-review process to ensure the academic integrity of the work we publish.

Aims and Scope

NAC maintains a comprehensive and multidisciplinary scope, covering the full spectrum of computer science, information technology, and systems engineering. We welcome original research, review articles, and technical reports in the following areas:

1. Artificial Intelligence & Intelligent Systems

• Core AI: Generative AI, Large Language Models (LLMs), and Neural Networks.

• Machine Learning: Deep Learning, Reinforcement Learning, and Predictive Modeling.

• Cognitive Computing: Natural Language Processing (NLP), Computer Vision, and Pattern Recognition.

• AI Ethics: Explainable AI (XAI), Algorithmic Fairness, and AI Policy.

2. Computer Hardware & Engineering

• Architecture: Next-generation CPU/GPU design and Quantum Computing.

• Embedded Systems: FPGA, VLSI design, System-on-Chip (SoC), and Microprocessor Engineering.

• Robotics: Autonomous Systems, Human-Robot Interaction, and Industrial Automation.

• Hardware Security: Trusted Computing and Hardware-level Cryptography.

3. Software Engineering & Systems

• Software Development: Agile Methodologies, DevOps, Automated Testing, and Software Architecture.

• Cloud & Distributed Computing: Edge Computing, Internet of Things (IoT), and Virtualization.

• Cybersecurity: Network Security, Blockchain Technology, and Digital Forensics.

4. Data Science & Advanced Informatics

• Big Data: Data Mining, Warehousing, and Real-time Analytics.

• Informatics: Health Informatics, Bioinformatics, and Computational Social Science.

Peer Review Process

All manuscripts submitted to NAC undergo a rigorous Double-Blind Peer Review process. This ensures that the identity of both the authors and the reviewers remains confidential, promoting unbiased and objective evaluation.

Open Access Policy

To ensure maximum visibility and impact of the research, NAC provides immediate Gold Open Access to its content. All articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing for free sharing and adaptation of the work with proper attribution.

Indexing & Archiving

NAC is designed to meet the criteria of major indexing services including HEC, Scopus, and DOAJ. The journal utilizes the LOCKSS and CLOCKSS systems for long-term digital preservation of all published content.