The presentation is entilted “Intelligence Across the IoT Continuum: Integration, Adaptation, and Distributed Processing”
The increasing integration of artificial intelligence into Internet of Things (IoT) systems has intensified the challenges of integration, data processing, and decision-making in distributed environments. In this context, the computing continuum enables the distribution of data and services across devices, edge, fog, and cloud infrastructures according to the available resources and the requirements of each application. Drawing on research conducted in the domain of smart agriculture, this presentation discusses architectures for heterogeneous platform integration, dynamic adaptation, service placement, and intelligent data processing. The results highlight the trade-offs involved in selecting where services should be executed and emphasize the importance of considering connectivity, latency, computational capacity, and resilience. This perspective contributes to the development of more autonomous, adaptive, and AI-ready IoT systems.
The speaker
Dener Edson Ottolini Guedes da Silva holds a Ph.D. in Information Engineering and an M.Sc. in Computer Science from the Federal University of ABC (UFABC), as well as a degree in Information Technology for Business Management. He is currently a postdoctoral researcher at FEI University Center, where he investigates the development and deployment of intelligent applications across the computing continuum. His research interests include the Internet of Things, distributed systems, edge, fog, and cloud computing, programmable networks with P4, artificial intelligence, and smart agriculture.