Invited Lecture "Cooperative, Self-aware and Intelligent Systems: architectural components and future directions in Internet of Things" by Radu Mihailescu (U Malmö)

Date: 2 de febrero, de 11:00-13:00

Location: Seminario 003 del Deptartamental II (Móstoles)

Title: Cooperative, Self-aware and Intelligent Systems: architectural components and future directions in Internet of Things (pdf)

Abstract: In this talk I will address the design of intelligent IoT environments typically including multiple connected sensors and cameras. The goal is  to enable the systems to support services with various purposes in the public and semi-public space, such as facility management, activity logging or energy management, while overall, helping users get the most out of their future Internet of Things technology.  A major challenge is to make use of information and/or functionality from different systems and system components, currently often working in isolation, sometimes for different stakeholders, by building into the system the ability to cooperate and being self-aware. To this end, system architectures, information models and self-adaptive techniques are required in order to foster situations where several connected components combine into temporary collections of functions and services, which are generally hard to overview and describe in advance, and they tend to change unpredictably.

Dr. Radu Mihailescu is a Research Associate in the Department of Computer Science at Malmö University and Internet of Things and People Research Center, Sweden. He received his degree as Computer Science Engineer from “Politehnica” Univeristy of Timisoara (Romania). Prior to graduation he was a visiting student at the National University of Singapore (NUS) where he has conducted his final dissertation. He obtained his PhD in Computer Science from the University Rey Juan Carlos in 2014. He authored several publications in journals, books and international conferences. His research interests include artificial intelligence, multiagent systems, machine learning, optimisation, game theory, complex systems and smart grids. He is currently involved in several projects in a joint effort with industry partners, focusing on building intelligence into the IoT infrastructures.