Editorial Board for section 'Internet of Things (IoT)'
- Information Systems Section
- Information Processes Section
- Information Theory and Methodology Section
- Information Applications Section
- Information and Communications Technology Section
- Artificial Intelligence Section
- Internet of Things (IoT) Section
- Information Security and Privacy Section
- Wireless Technologies Section
- Biomedical Information and Health Section
Please see the section webpage for more information on this section.
Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.
Members
Interests: context-aware computing; vehicular networks; privacy; IoT
Special Issues, Collections and Topics in MDPI journals
Interests: operations management; systems thinking; serious games
Interests: multi-agent systems; distributed systems; mobile & ubiquitous computing; IoT; blockchain
Interests: graph algorithms; computational complexity; technology-enhanced learning
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent systems; software agents and agent systems; semantic technologies; high performance computing; data analytics
Special Issues, Collections and Topics in MDPI journals
Interests: industrial data analytics and AI-enabled intelligent decision systems; business process improvement and automation; Internet of Things (IoT); smart and connected enterprises
Interests: computer network; Internet of Things; information and cybersecurity; machine learning
Interests: statistical data modelling; big data analytics; Bayesian inference; Markov Chain Monte Carlo (MCMC) simulation; machine learning; decision support systems; system reliability modelling; degradation modelling and condition prediction; optimization
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things (IoT); vehicular networks; big data security; target (text, image, video) recognition and understanding; graph understanding; graph neural networks