Application of Data Science, Artificial Intelligence, and Blockchain for Smart Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 89

Special Issue Editors
Interests: IoT, blockchain and AI application in health, transportation and energy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the integration of data science, artificial intelligence (AI), and blockchain in smart systems has gained significant momentum, transforming industries such as healthcare, transportation, finance, manufacturing, and urban infrastructure. AI-driven smart systems enhance automation, efficiency, and adaptability, while blockchain ensures data integrity, security, and decentralized decision-making. The convergence of these technologies fosters new opportunities for trust-driven, autonomous, and intelligent environments.
We are pleased to invite you to contribute to this Special Issue, which focuses on the latest research, developments, and applications of data science, AI, and blockchain in smart systems. The aim is to explore innovative methodologies, theoretical advancements, and real-world implementations that harness the power of these technologies to improve automation, security, transparency, and system intelligence.
Suggested Themes and Article Types for Submissions:
In this Special Issue, we welcome original research articles and review papers covering, but not limited to, the following areas:
- AI-driven Smart Systems and Applications;
- Intelligent automation in smart cities, healthcare, logistics, and Industry 4.0;
- AI-powered predictive maintenance and fault detection;
- Smart energy management and optimization;
- Data Science Techniques for Smart Systems.
- Machine learning and deep learning models for smart applications;
- Big data analytics and real-time data processing;
- Explainable AI (XAI) for transparent decision-making;
- Blockchain and distributed ledger technologies (DLT) for smart systems.
- Blockchain-based security and privacy in AI-driven applications;
- Smart contracts for automation in logistics, finance, and healthcare;
- Decentralized identity management and access control;
- Integration of AI and Blockchain for trust-based smart systems.
- Edge and Cloud Computing for AI and Blockchain-enabled Smart Systems;
- AI at the edge: federated learning and on-device intelligence;
- Blockchain-enabled IoT for secure and scalable smart environments;
- Scalable architectures for cloud-based AI and blockchain applications.
- Human-Centric AI, Ethical Considerations, and Governance;
- Fairness, bias, and ethical implications in AI-driven smart systems;
- Human-AI collaboration and adaptive interfaces;
- Blockchain governance models for decentralized smart systems;
- Regulatory and policy frameworks for responsible AI and blockchain adoption.
This Special Issue aims to showcase state-of-the-art research and practical applications that leverage AI, data science, and blockchain to enhance smart systems across various domains. We encourage contributions from academia, industry, and interdisciplinary research groups to foster discussions on emerging trends and future directions in this evolving field.
We look forward to your submissions!
Prof. Dr. Joao C Ferreira
Prof. Dr. Bjørn Jæger
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence (AI)
- data science
- smart systems
- federated learning
- blockchain
- explainable AI (XAI)
- decision-making systems
- AI security and privacy
- AI-driven healthcare
- smart energy management
- AI for logistics and transportation
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