About the Journal

Journal particulars:
Title Proper: Scientific Journal of Artificial Intelligence and Blockchain Technologies Title Variant: SJAIBT
ISSN: 3049-4389
I.F: 9.755 (2026)
Frequency: Quarterly (4 issues per year)
Publisher: ResaGate Global
Publisher Address: Raj Nagar Extension, Ghaziabad, Uttar Pradesh (201017)
Publisher Email: editor@sjaibt.org | sjaibt@gmail.com
Copyright: Remain Journal
Starting Year: 2024
Main Subject: Computer Science
Scope: Artificial Intelligence & Blockchain Technology
Language: English
Publication Format: Online (Open Access)

Website: https://sjaibt.org
Contact : +91 9456916244

Aims and Objectives of SJAIBT:

The Scientific Journal of Artificial Intelligence and Blockchain Technologies (SJAIBT) seeks to:

  1. Advance the understanding, innovation, and application of Artificial Intelligence (AI) and Blockchain across engineering and scientific domains.

  2. Foster collaboration among academia, industry, and government institutions to accelerate the adoption of AI and Blockchain.

  3. Encourage interdisciplinary research integrating AI, Blockchain, and other engineering technologies for real-world impact.

  4. Provide an open-access platform for researchers, scientists, engineers, and practitioners to disseminate groundbreaking discoveries.

  5. Explore the ethical, legal, and policy dimensions of AI and Blockchain adoption.

  6. Promote the translation of theoretical advances into scalable industrial solutions for sectors such as finance, healthcare, energy, logistics, education, and manufacturing.

Scope of the Journal (SJAIBT)

SJAIBT is a leading platform dedicated to exploring the frontiers of Artificial Intelligence, Blockchain, and related engineering technologies. The journal covers theory, algorithms, systems, frameworks, and applications, addressing both academic research and industrial deployment. It emphasizes not only the computational and scientific foundations but also the engineering integration required to build scalable, secure, and sustainable intelligent systems.

The journal encourages submissions spanning Computer Science, Engineering, and Technology with a strong emphasis on interdisciplinary innovation that bridges AI, Blockchain, Quantum Computing, Cybersecurity, and Industry 4.0.

Subject Areas in SJAIBT:

Core Focus

  • Artificial Intelligence (AI): machine learning, deep learning, natural language processing, reinforcement learning, explainable AI, AI in robotics, AI in healthcare, AI in cybersecurity.

  • Blockchain Technology: distributed ledger systems, consensus algorithms, decentralized finance (DeFi), smart contracts, blockchain security, Web3, tokenization, blockchain for supply chains.

  • AI–Blockchain Integration: federated learning with blockchain, privacy-preserving AI, secure multiparty computation, blockchain-based trust models, interoperability frameworks.

Engineering & Applied Domains

  • Computer Science & Engineering (CSE): software engineering, big data analytics, cloud-native systems, edge computing, DevOps automation, API ecosystems.

  • Electronics & Communication Engineering (ECE): VLSI design, embedded systems, IoT security, quantum devices, wireless networks, 5G/6G communication with AI and blockchain integration.

  • Electrical Engineering (EE): smart grids, renewable energy optimization, control systems, power electronics, AI for predictive maintenance, blockchain for energy trading.

  • Mechanical & Manufacturing Engineering (ME): industrial automation, robotics, digital twins, additive manufacturing, Industry 4.0 integration, blockchain in supply chain traceability.

  • Civil & Structural Engineering (CE): smart cities, digital infrastructure, AI for urban planning, blockchain for construction contracts, intelligent transportation systems.

  • Chemical & Biochemical Engineering (ChE): process optimization, bioinformatics, blockchain for pharmaceutical supply chains, AI in drug discovery.

  • Aerospace & Automotive Engineering: autonomous vehicles, UAVs, aerospace materials, AI for navigation, blockchain for safety compliance.

  • Biomedical & Health Engineering: AI-driven diagnostics, medical imaging, personalized medicine, blockchain for health data management.

  • Environmental & Agricultural Engineering: AI for climate modeling, blockchain for carbon trading, smart farming, water resource management.

Interdisciplinary and Emerging Areas

  • Quantum computing and AI

  • Cybersecurity and Zero-Trust frameworks

  • Digital twins and metaverse ecosystems

  • AI ethics, governance, and regulation

  • Blockchain in law, policy, and governance

  • AI and blockchain applications in education and e-learning

Current Issue

Vol. 3 No. 4 (2026): Oct- Dec 2026
Published: 30-09-2026

Original Research Articles

  • Hybrid Neurosymbolic AI: Integrating Neural Learning with Symbolic Reasoning

    Dr. Thejoram Naresh Reddy Boya (Author)
    Oct (1-7)
    DOI: https://doi.org/10.63345/

  • Blockchain for Secure and Transparent Online Transactions in eCommerce

    Dr. Priyanka Gosain (Author)
    Oct (29-33)
    DOI: https://doi.org/10.63345/

  • AI-Driven Personalization in Online Travel Booking Experiences

    Dr Abhishek Bhattacharjee (Author)
    Oct (8-13)
    DOI: https://doi.org/10.63345/

  • A Blockchain-Based Framework for AI Ethics Compliance in Autonomous Systems

    Ms. Sarika (Author)
    Oct (14-20)
    DOI: https://doi.org/10.63345/

  • Artificial Intelligence for Sustainable Engineering: Integrating Intelligent Systems, Energy Efficiency and Environmental Performance

    Vinod Rathore (Author)
    Oct (21-28)
    DOI: https://doi.org/10.63345/
View All Issues

Scientific Journal of Artificial Intelligence and Blockchain Technologies (SJAIBT)

                               

The Scientific Journal of Artificial Intelligence and Blockchain Technologies, published by ResaGate Global, is a peer-reviewed, open-access journal dedicated to advancing the understanding and application of artificial intelligence (AI) and blockchain technologies. The journal provides a platform for researchers, academics, and professionals to share innovative ideas, breakthrough research, and cutting-edge solutions that address the challenges and opportunities in these dynamic fields.

Aim and Scope

The journal aims to:

  • Promote interdisciplinary research in AI and blockchain technologies.
  • Bridge the gap between theoretical research and real-world applications.
  • Encourage discussions on ethical, legal, and societal implications of AI and blockchain innovations.

Scope of the Journal

The journal’s scope includes, but is not limited to:

  • Machine learning, deep learning, and neural networks.
  • Blockchain applications in healthcare, finance, supply chain, and more.
  • Decentralized applications (dApps) and smart contracts.
  • AI in cybersecurity and data privacy.
  • Cryptography and blockchain protocols.
  • Internet of Things (IoT) integration with AI and blockchain.
  • Ethical implications and regulatory frameworks of AI and blockchain.

Subject Categories and Research Specializations

The journal welcomes original research, review articles, case studies, technical papers, conceptual studies, and short communications across a broad range of interdisciplinary subject areas related to artificial intelligence, blockchain, emerging technologies, digital transformation, and intelligent computing.

  • Artificial Intelligence: Generative AI, Explainable AI, Responsible AI, Computer Vision, Natural Language Processing, Knowledge Representation, Intelligent Agents, AI Ethics, and AI Applications.
  • Machine Learning and Deep Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Transfer Learning, Federated Learning, Predictive Analytics, and Deep Learning Architectures.
  • Blockchain Technology: Distributed Ledger Technology, Blockchain Architecture, Consensus Mechanisms, Smart Contracts, Tokenization, Decentralized Systems, Blockchain Security, and Blockchain Governance.
  • Cybersecurity and Privacy: AI-Based Cybersecurity, Intrusion Detection, Threat Intelligence, Digital Forensics, Privacy-Preserving Computing, Identity Management, and Security Analytics.
  • Cryptography: Modern Cryptography, Post-Quantum Cryptography, Encryption Techniques, Digital Signatures, Secure Authentication, Key Management, and Cryptographic Protocols.
  • Internet of Things: Intelligent IoT Systems, Edge Computing, AI-IoT Integration, Blockchain-IoT Applications, Smart Sensors, Connected Devices, and IoT Security.
  • Healthcare and Medical Technology: AI in Healthcare, Medical Imaging, Clinical Decision Support, Digital Health, Healthcare Blockchain, Remote Monitoring, Health Data Analytics, and Personalized Healthcare.
  • Finance and FinTech: AI in Banking, Financial Prediction, Fraud Detection, Algorithmic Finance, Blockchain-Based Finance, Digital Payments, Cryptocurrency Technologies, and Financial Risk Analytics.
  • Supply Chain and Logistics: Blockchain-Based Supply Chains, Intelligent Logistics, Predictive Supply Chain Analytics, Smart Tracking, Inventory Optimization, and Secure Digital Transactions.
  • Robotics and Autonomous Systems: Intelligent Robotics, Autonomous Vehicles, Human-Robot Interaction, Robotic Perception, Reinforcement Learning, and AI-Based Autonomous Decision-Making.
  • Data Science and Big Data: Big Data Analytics, Data Mining, Predictive Modeling, Data Engineering, Knowledge Discovery, Data Visualization, and Large-Scale Data Processing.
  • Cloud and Edge Computing: Cloud AI, Edge Intelligence, Distributed Computing, Serverless Computing, Cloud Security, AI Workloads, and Edge-Based Data Analytics.
  • Smart Cities and Smart Infrastructure: Intelligent Transportation, Smart Governance, Smart Energy, Urban Analytics, Smart Buildings, Environmental Monitoring, and IoT-Based Infrastructure.
  • Education and Learning Technologies: AI in Education, Intelligent Tutoring Systems, Adaptive Learning, Learning Analytics, Educational Data Mining, Blockchain-Based Credentials, and Digital Learning Platforms.
  • Business and Management: AI-Driven Decision Support, Business Analytics, Intelligent Enterprise Systems, Digital Transformation, Technology Management, Blockchain-Based Business Models, and Organizational Innovation.
  • Environmental and Sustainability Technologies: AI for Environmental Monitoring, Climate Analytics, Sustainable Computing, Smart Resource Management, Environmental Data Analytics, and Blockchain for Sustainability.
  • Social and Ethical Dimensions: AI Ethics, Algorithmic Bias, Digital Rights, Technology Governance, Responsible Innovation, Social Impact of AI, Blockchain Regulation, and Digital Society.
  • Emerging and Interdisciplinary Technologies: Quantum Computing and AI, Digital Twins, Metaverse Technologies, Web3, Extended Reality, Neuromorphic Computing, Human-Centered AI, and AI-Blockchain Convergence.

Key Features

Double-Blind Peer Review

  • Ensures impartial and high-quality evaluations of manuscripts.

Open Access

  • Provides free and immediate access to all published articles under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.

Affordable APC

  • Maintains accessibility for authors with a nominal Article Processing Charge (APC) of 4,555.00 INR / $155.

High Visibility

  • Articles are indexed in leading databases to ensure global reach and impact.

Publication Frequency

The journal publishes quarterly, with four issues per year, featuring high-quality original research articles, reviews, case studies, and short communications.

Target Audience

  • Researchers and academicians in AI and blockchain technologies.
  • Industry professionals and developers exploring real-world applications.
  • Policymakers, regulators, and ethicists interested in technological governance.

Editorial Team

The journal is managed by an expert editorial board comprising leading scholars and professionals in AI and blockchain technologies. The Editor-in-Chief ensures adherence to the journal's rigorous standards and policies.

Why Publish with Us?

  • Global Reach: Open access model ensures maximum visibility and impact.
  • Rigorous Review: High standards of peer review guarantee quality and reliability.
  • Interdisciplinary Focus: Encourages research that transcends disciplinary boundaries.
  • Support for Authors: Affordable APC and prompt editorial support make the publishing process seamless.