About the Journal
Journal particulars:
Title: Scientific Journal of Artificial Intelligence and Blockchain Technologies
ISSN: 3049-4389
Frequency: Quarterly (4 issues per year)
Publisher: ResaGate Global
Publisher Address: 306, Tower-I, KDP Grand Savanna, Noor Nagar, Loni, 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 : https://wa.me/919456916244
Aims and Objectives of SJAIBT:
The Scientific Journal of Artificial Intelligence and Blockchain Technologies (SJAIBT) seeks to:
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Advance the understanding, innovation, and application of Artificial Intelligence (AI) and Blockchain across engineering and scientific domains.
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Foster collaboration among academia, industry, and government institutions to accelerate the adoption of AI and Blockchain.
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Encourage interdisciplinary research integrating AI, Blockchain, and other engineering technologies for real-world impact.
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Provide an open-access platform for researchers, scientists, engineers, and practitioners to disseminate groundbreaking discoveries.
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Explore the ethical, legal, and policy dimensions of AI and Blockchain adoption.
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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
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Artificial Intelligence (AI): machine learning, deep learning, natural language processing, reinforcement learning, explainable AI, AI in robotics, AI in healthcare, AI in cybersecurity.
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Blockchain Technology: distributed ledger systems, consensus algorithms, decentralized finance (DeFi), smart contracts, blockchain security, Web3, tokenization, blockchain for supply chains.
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AI–Blockchain Integration: federated learning with blockchain, privacy-preserving AI, secure multiparty computation, blockchain-based trust models, interoperability frameworks.
Engineering & Applied Domains
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Computer Science & Engineering (CSE): software engineering, big data analytics, cloud-native systems, edge computing, DevOps automation, API ecosystems.
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Electronics & Communication Engineering (ECE): VLSI design, embedded systems, IoT security, quantum devices, wireless networks, 5G/6G communication with AI and blockchain integration.
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Electrical Engineering (EE): smart grids, renewable energy optimization, control systems, power electronics, AI for predictive maintenance, blockchain for energy trading.
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Mechanical & Manufacturing Engineering (ME): industrial automation, robotics, digital twins, additive manufacturing, Industry 4.0 integration, blockchain in supply chain traceability.
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Civil & Structural Engineering (CE): smart cities, digital infrastructure, AI for urban planning, blockchain for construction contracts, intelligent transportation systems.
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Chemical & Biochemical Engineering (ChE): process optimization, bioinformatics, blockchain for pharmaceutical supply chains, AI in drug discovery.
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Aerospace & Automotive Engineering: autonomous vehicles, UAVs, aerospace materials, AI for navigation, blockchain for safety compliance.
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Biomedical & Health Engineering: AI-driven diagnostics, medical imaging, personalized medicine, blockchain for health data management.
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Environmental & Agricultural Engineering: AI for climate modeling, blockchain for carbon trading, smart farming, water resource management.
Interdisciplinary and Emerging Areas
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Quantum computing and AI
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Cybersecurity and Zero-Trust frameworks
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Digital twins and metaverse ecosystems
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AI ethics, governance, and regulation
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Blockchain in law, policy, and governance
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AI and blockchain applications in education and e-learning