Alessandro Compagnoni

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39o ciclo (2023-2026)
Dipartimento di Elettronica e Telecomunicazioni (DET)

Profilo

Dottorato di ricerca

Argomento di ricerca

Edge Computing and Machine Learning, Wireless communication systems

Tutori

Presentazione della ricerca

Poster

Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science
Communication and Computer Networks
Optical 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).