Umberto Albertin

PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)

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



Research topic

EDGE real-time predictive maintenance framework


Research interests

Analog, Power and Mixed-Signal Circuits and Embedded Systems
Big Data, Machine Learning, Neural Networks and Data Science
Mechatronics and robotics
Modeling, simulation and CAD
Systems, Automation and Control


PhD student in Electrical, Electronics and Communications Engineering at Politecnico di Torino. He achieved Bachelor’s Degree in Mechanical Engineering in 2018 and Master’s Degree in Mechatronic Engineering in 2020. The core of his research activity concerns the study of real-time Predictive Maintenance techniques based on Machine Learning algorithms to deploy in embedded devices for monitoring complex industrial systems.



Master of Science


Latest publications View all publications in Porto@Iris