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Stefano Giordano
Also published under:S. Giordano
Affiliation
University of Pisa, Italy
Topic
Convolutional Neural Network,Learning Algorithms,Deep Learning,Machine Learning,Power Consumption,Quality Of Experience,Service Quality,Wide Area Network,Cloud Computing,Control Plane,Deep Neural Network,Energy Consumption,Hardware Accelerators,Internet Of Things,Terrestrial Networks,Actuator,Arduino,Central Server,Clock Frequency,Cloud Platform,Computer Vision,Current Measurements,Deep Learning Models,Deep Q-learning,Edge Computing,Edge Devices,Enterprise Network,Federated Learning,GPS Tracking,Ground Station,Image Classification,Internet Of Things Devices,Least Significant Bit,Local Dataset,Low Earth Orbit,Low Power Consumption,Motion Tracking,Network Infrastructure,Network Operators,Network Performance,Network Services,Neural Network,Nighttime,Object Detection,Packet Loss,Performance Guarantees,Performance Metrics,Python API,Raspberry Pi,Reinforcement Learning Algorithm,
Biography
Stefano Giordano (SM’10) received the master’s degree in electronics engineering (cum laude) and the Ph.D. degree in information engineering from the Università di Pisa, Pisa, Italy, in 1990 and 1994, respectively. He is currently Full Professor with the Department of Information Engineering, University of Pisa, where he is responsible for the telecommunication networks laboratories. His research interests are telecommunication networks analysis and design, simulation of communication networks, and multimedia communications. He is chair of the Tactile Internet TC and of the Italy Chapter of IEEE Comsoc. He was the Chair of the Communication Systems Integration and Modeling Technical Committee. He was one of the referees of the European Union, the National Science Foundation, and the Italian Ministry of Economic Development. Ha is member of the Educational Services Board of IEEE Comsoc leading the Pre-University Activities sector.