AI-Enabled Internet of Things for Engineering Applications

Dear Colleagues,

The synergetic relationship between Artificial Intelligence (AI) and Internet of Things (IoT) enables disruptive innovations in wearables and implantable devices for numerous engineering applications. The three key components of this emerging era of AI and IoT applications are (i) intelligent sensors, information and knowledge, (ii) intelligent systems-of-systems, and (iii) advanced end-to-end analytics. There are several research challenges in implementing AI-enabled IoT systems and applications. From a system and application front, there is a need to design intelligent and scalable data solutions and analytics facilitated by collaborative sensing and collaborative machine learning algorithms. For this reason, this Special Issue aims to solicit submissions of unpublished and original research articles that present in-depth fundamental research contributions from a methodological or theoretical application perspective containing novel algorithms, architectures, techniques, or systems that offer new insights and findings in the field of AI-empowered IoT.

• Computing for IoT data processing;
• Social data mining and computing;
• Data mining tools and platforms;
•  Applications for AI-empowered competent IoT services;
• Collective machine learning for AI-empowered IoT systems;
• Privacy and security of AI-empowered IoT solutions;
• Edge AI for human–computer interaction and human-centric IoT systems; 
• Intelligent edge IoT devices for biomedical, surveillance, and other industrial applications;
• Stream processing for efficient IoT data processing;
• 5G-assisted IoT techniques and applications;
• Blockchain and IoT systems and applications;
• Evolutionary algorithms for IoT and wearable systems and applications;
• Modeling and simulation of large-scale IoT scenarios and IoT standardization;
• Hybrid approaches and emerging real-world applications of AI-empowered IoT in healthcare;
• Techniques, tools, and infrastructure that support the development and deployment of AI-empowered IoT systems;
• Novel architectures, infrastructures, and protocols for AI-empowered IoT systems;
• Remote healthcare and patient activity monitoring based on AI-empowered IoT  technologies;
• Energy-efficient AI and IoT applications and data analytics technique;
• Techniques for AI-empowered IoT applications for visual surveillance.

Prof. Dr. Moongu Jeon
Prof. Dr. Jeonghwan Gwak
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.