Big Data, Machine Learning, Neural Networks and Data ScienceCommunication and Computer NetworksOptical and Wireless Digital Transmissions Systems
Biografia
Alessandro Compagnoni is a Ph.D. student in Electronics and Telecommunications Engineering at Politecnico di Torino. His research focuses on Sustainable Edge Computing, Machine Learning, and wireless communication systems. Currently, he is exploring applications of machine learning in non-terrestrial networks. His academic background includes Physics, Electronics, and Telecommunications, acquired through his degrees in Physical Engineering and Communications And Computer Networks Engineering (CCNE).