By bringing computing power closer to the data source and reducing latency, edge computing enables real-time monitoring and analysis of critical data, which is already revolutionizing various applications, including smart cities and buildings maintenance applications.
John Soldatos
About
John Soldatos holds a PhD in Electrical & Computer Engineering from the National Technical University of Athens (2000) and is currently Honorary Research Fellow at the University of Glasgow, UK (2014-present). He was Associate Professor and Head of the Internet of Things (IoT) Group at the Athens Information Technology (AIT), Greece (2006–2019), and Adjunct Professor at the Carnegie Mellon University, Pittsburgh, PA (2007–2010). He has significant experience in working closely with large multi-national industries (e.g., IBM, INTRACOM, INTRASOFT International) as R&D consultant and delivery specialist, while being a scientific advisor to various high-tech startup enterprises. Dr. Soldatos is an expert in Internet-of-Things (IoT) and Artificial Intelligence (AI) technologies and applications, including IoT/AI applications in smart cities, finance (Finance 4.0), and industry (Industry 4.0).
Latest Posts
A Deep Dive Into Edge AI in Energy-Constrained Environments
Benefits, Utilities, and Hybrid Deployment of Edge AI.
Half Duplex vs Full Duplex: Understand how these protocols affect data transmission, learn their advantages and limitations, and discover how they are utilized in various networking technologies.
For over a decade, the Internet of Things (IoT) has been disrupting business operations in different sectors of the economy. It enables enterprises to deploy pervasive applications that leverage information from the physical world to drive automation and data-driven intelligence.
An engineer's guide to understanding the future of robotics manufacturing.
