Alessandro Compagnoni

Alessandro Compagnoni's picture

Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)

Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)

Profile

PhD

Research topic

Wireless communication systems (physical layer) - Edge Computing and Machine Learning

Tutors

Research presentation

Poster

Research interests

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

Biography

Alessandro Compagnoni is a Ph.D. student in Electronics and Telecommunications Engineering at Politecnico di Torino. His research focuses on wireless communication systems and machine learning applied to edge computing. His current work includes channel modeling for high-mobility vehicular communication scenarios, anti-jamming algorithms leveraging modern modulation schemes, routing, handover, and radio resource management algorithms for non-terrestrial communication networks. His academic background includes telecommunications, physics, and electronics, acquired through his degrees in Physical Engineering and in Communications and Computer Networks Engineering (CCNE).

Teaching

Teachings

Master of Science

Bachelor of Science

Publications

Latest publications View all publications in Porto@Iris