IoT Edge Solutions for Cognitive Buildings

Franco Cicirelli is a researcher at the ICAR-CNR in Italy since December 2016. He was a Research Fellow at the University of Calabria in Italy from 2006 to 2015. His research work mainly focuses on software engineering tools and methodologies for the modeling, analysis, and implementation of complex time-dependent systems. Research topics include agent-based systems, distributed simulation, distributed systems, real-time systems, internet of things and cyber-physical systems. Antonio Guerrieri is currently serving as a researcher at the ICAR-CNR, Italy. He spent six months as a researcher at the Telecom Italia WSN Lab in Berkeley, California, and one year at the Clarity Centre, UCD, Ireland. He has been involved in several research projects and is a co-Founder of the SenSysCal S.r.l. His research interests include high-level programming methodologies and frameworks for wireless sensor and actuator networks, building monitoring and control, body sensor networks, design and development of smart environments, and internet of things. Giandomenico Spezzano is a Research Director at the Institute of High Performance Computing and Networking of the Italian National Research Council (ICAR-CNR) Rende, Italy. Adjunct Professor at the Faculty of Engineering of the University of Calabria. He is the author of 4 books and more than 220 scientific articles published in books, conference proceedings and international journals. His research interests include parallel architectures, peer-to-peer computing, multi-agent systems with collective behavior (swarm intelligence), large-scale cyber-physical systems, parallel and distributed data mining, pervasive computing and internet of things, and edge computing. Andrea Vinci is a researcher at the ICAR-CNR, Italy, where he has worked in various positions since 2012. His research interests include internet of things and cyber-physical systems. In these areas, he worked on the definitions of platforms and methodologies for developing cyber-physical systems, on swarm-based distributed algorithms for the efficient control of urban drainage, and on data mining techniques for ambient intelligence.