Embedded IoT Sensing Systems: From Data Acquisition
to Edge Intelligence
Abstract
The rapid evolution of embedded electronics, wireless communication, and artificial intelligence is transforming traditional sensor networks into intelligent IoT sensing systems capable of real-time monitoring and decision support. This keynote provides an overview of current trends in the design of embedded sensing platforms, covering sensor integration, low-power hardware, wireless connectivity, cloud-based data management, and edge intelligence. Recent advances in machine learning, digital twins, and distributed sensing architectures will be discussed together with their role in developing reliable, scalable, and sustainable monitoring systems for critical infrastructure, industrial automation, and smart environments.
Short Biography
Michal Hodoň received the Ph.D. degree in Technical Cybernetics from the University of Žilina, Slovakia, where he currently serves as Associate Professor and Deputy Head of the Department of Technical Cybernetics. His research focuses on embedded systems, Internet of Things (IoT), wireless sensor networks, industrial communication, edge artificial intelligence, environmental sensing, and intelligent monitoring systems for critical infrastructure. He has participated in numerous national and international research projects addressing smart sensing technologies, transportation safety, industrial automation, and intelligent building systems. He is the author and co-author of scientific publications in the fields of embedded sensing systems, machine learning, and intelligent sensor applications and serves on the program committees of several international conferences.
