Machine Learning, Big Data, and Artificial Intelligence in Smart Systems

Dear Colleagues,

With the rapid growth in Artificial Intelligence (AI) and Machine Learning (ML) and the convergence of Big Data with AI, the coming years will see the emergence of one of the most crucial periods of development, which will shape the future and fundamentally transform the design and deployment of smart systems across domains such as healthcare, transportation, energy, manufacturing, and smart cities. By leveraging diverse real-time data streams and adaptive AI, these systems enable autonomous, predictive decision-making that boosts operational efficiency.

Despite this progress, significant challenges remain, which we aim to address through this Special Issue, including data quality and interpretability, model scalability, and real-world deployment constraints. This Special Issue will showcase significant research solutions that address these challenges while advancing the theoretical and practical foundations of intelligent smart systems.

Our aim is to showcase recent advances in ML, AI, and Big Data for smart system applications and highlight novel methodologies, architectures, and frameworks. Our main goal is to address challenges in scalability, robustness, and ethical AI.

We invite researchers, engineers, and ethicists to submit their latest findings. We are particularly interested in papers that bridge academia and industry by reporting scalable ML models in smart environments. Topics of interest for this Special Issue include, but are not limited to, the following:

• ML algorithms for smart environments;
• Deep learning and reinforcement learning in smart systems;
• Big Data analytics and real-time data processing;
• Edge AI and distributed intelligence;
• Internet of Things (IoT)-driven smart systems;
• Federated learning and data privacy;
• Explainable AI (XAI) in critical infrastructure;
• AI for smart healthcare, smart cities, and smart grids;
• Cybersecurity and privacy in intelligent systems;
• Digital twins and intelligent automation;
• Human–AI interaction in smart environments.

Dr. Divya Gangwani
Dr. Tahir Ekin
Guest Editors

Manuscript Submission Information

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