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Autorenporträt
Benedetta Picano (M20) received the B.S. degree in Computer Science, as the M.Sc. degree in Computer Engineering, from the University of Florence, where she received the Ph.D. degree in Information Engineering. She was a visiting researcher at the University of Houston. Her research fields include matching theory, nonlinear time series analysis, digital twins, microservices, resource allocation in edge and fog computing infrastructures, and machine learning. Dr. Picano currently serves as Associate Editor for IEEE Transaction on Vehicular technology and Peer-to-peer Networking and Applications journal.
Romano Fantacci (LF23) is a Full Professor of Computer Networks at the University of Florence, Florence, Italy. He was elected Fellow of the IEEE in 2005 for contributions to wireless communication networks. His research focuses on wireless communication networks, Edge intelligent networks, networks modeling and analysis. He has received several awards in recognition of his research contributions. These awards include the IEE Benefactor Premium, the 2002 IEEE Distinguished Contributions to Satellite Communications Award, the 2015 IEEE WTC Recognition Award, the IEEE sister society AEIT Young Research Award, and Best Paper awards at IEEE international conferences. He has actively participated in the organization and technical program committees of numerous IEEE international conferences. Additionally, he is a member of the Editorial Board for IEEE COMSOC Technical Journals. Currently, he is an IEEE Life Fellow and holds positions on the Steering Committee of IEEE Wireless Letters and the IEEE Fellows Committee.
Inhaltsangabe
Preface.- Chapter. 1. Emerging Technologies for Edge Intelligent Computing Systems.- Chapter. 2. Offloading Methodologies for Air-Ground Edge Intelligent Computing Systems.- Chapter. 3. Edge Intelligent Computing enabled Federating Learning in 6G wireless systems.- Chapter. 4. Edge Intelligent Computing in aqua environments.- Chapter. 5. Application of the Digital Twin technology in Novel Edge Intelligent Computing Systems.
