Alessandro Compagnoni

PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)



Research topic

Edge Computing and Machine Learning, Wireless communication systems


Research presentation


Research interests

Big Data, Machine Learning, Neural Networks and Data Science
Communication and Computer Networks
Optical and Wireless Digital Transmissions Systems


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).