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MSI Journal of AI and Technology
ISSN: xxxx-xxxx (Online)
Frequency: Quarterly
Subject: Engineering
Publishers: MSI Publishers
Country of Origin: India
Language: English
Editor in Chief: Dr. Vidhya Srinivasan
Journal Starting Year: 2025
About the Journal
MSI Journal of AI and Technology is a peer-reviewed, open-access international journal dedicated to publishing high-quality research in the fields of Artificial Intelligence (AI) and emerging technologies. As part of MSI Publishers, the journal serves as a platform for researchers, academicians, and industry professionals to disseminate innovative findings and advancements that contribute to the evolution of AI and its applications across various domains.
The journal emphasizes interdisciplinary research, bridging gaps between AI technologies and real-world applications. By fostering collaboration among diverse scientific communities, the journal aims to accelerate the integration of AI into sectors such as healthcare, finance, education, manufacturing, and more.
Key Features
• Open Access – All articles are freely accessible, promoting widespread dissemination of knowledge.
• Peer-Reviewed – Ensures the publication of rigorous and high-quality research.
• Quarterly Publication – Regular issues released four times a year.
• Global Reach – Encourages submissions from researchers worldwide, promoting a diverse and inclusive scientific discourse.
Latest Issue
Aims & Scope
The MSI Journal of AI and Technology aims to:
• Advance AI Research – Publish cutting-edge research that contributes to the theoretical and practical aspects of AI.
• Promote Interdisciplinary Studies – Encourage studies that integrate AI with other scientific and technological fields.
• Facilitate Knowledge Exchange – Serve as a forum for the exchange of ideas among researchers, practitioners, and policymakers.
• Highlight Emerging Technologies – Showcase innovations that are shaping the future of AI and its applications.
Scope of the Journal:
The journal welcomes original research articles, review papers, case studies, and technical notes in areas including, but not limited to:
Artificial Intelligence Core Areas
• Machine Learning & Deep Learning: Supervised, unsupervised, reinforcement learning, neural networks.
• Natural Language Processing (NLP): Text analysis, sentiment analysis, machine translation.
• Computer Vision: Image and video processing, object recognition, facial recognition.
• Robotics & Autonomous Systems: Robot design, control systems, autonomous navigation.
• Expert Systems: Knowledge-based systems, decision support systems.
• Fuzzy Logic & Neural Networks: Adaptive systems, pattern recognition.
Data Science & Big Data
• Data Mining: Pattern discovery, anomaly detection, data preprocessing.
• Big Data Analytics: Large-scale data processing, Hadoop, Spark.
• Data Visualization: Visual analytics, dashboards, interactive visualization tools.
• Predictive Analytics: Forecasting models, risk assessment.
Emerging Technologies
• Internet of Things (IoT): Smart devices, sensor networks, IoT architectures.
• Blockchain Technology: Distributed ledgers, smart contracts, blockchain applications.
• Quantum Computing: Quantum algorithms, quantum machine learning.
• Edge & Cloud Computing: Distributed computing, cloud services, edge analytics.
Software Engineering & Development
• Software Architecture: Design patterns, microservices, software modeling.
• Agile & DevOps: Continuous integration, deployment strategies.
• Human-Computer Interaction (HCI): User experience design, usability studies.
• Software Testing & Quality Assurance: Automated testing, performance evaluation.
Cybersecurity & Ethical AI
• Information Security: Encryption, intrusion detection, cybersecurity frameworks.
• Ethical AI: Bias mitigation, fairness, transparency in AI systems.
• Privacy Preservation: Data anonymization, secure data sharing.
Applications of AI
• Healthcare: Medical diagnostics, personalized medicine, health informatics.
• Finance: Algorithmic trading, fraud detection, credit scoring.
• Education: Intelligent tutoring systems, adaptive learning platforms.
• Manufacturing: Predictive maintenance, process optimization, automation.
• Transportation: Autonomous vehicles, traffic management systems.
Note to Authors
Submissions should adhere to the journal’s guidelines and demonstrate originality, relevance, and clarity. All manuscripts undergo a rigorous peer-review process to ensure the integrity and quality of published content.
For detailed submission instructions and guidelines, please visit our Author Guidelines page.
At MSI Publishers, this journal is committed to the highest standards of scholarly excellence and transparency. To ensure your work meets international indexing criteria and our own quality benchmarks, please review the following policy pages for this journal:
• Author Guidelines
• Publication Ethics
• Open Access Policy
• Peer Review Process
• About APCs
• Partnerships & Waivers Policy
• Indexing
• Copyright Policy
You can find all of these under the AUTHORS’ HUB in the header menu. Familiarity with these pages is essential for a smooth submission and publication process.
Every article published in this journal is assigned a unique CrossRef DOI upon publication, ensuring persistent and interoperable identification across scholarly platforms. To facilitate discoverability and indexing, each article’s page also includes sample English metadata segments, for example:
• Title: “Sample Article Title”
• Abstract: “This study investigates…”
• Keywords: “keyword1; keyword2; keyword3”
All Issues
Editorial Board
Editor in Chief
Dr. Vidhya Srinivasan
Professor & Head Department Of Medical Laboratory Technology, Girijananda Chowdhury University, India
Email: hodmlt@gcuniversity.ac.in
Dr. Surjeet Dalal
Professor, Department of Computer Science and Engineering, Amity University Haryana, India
Email: sdalal@ggn.amity.edu
