Luca Barbisan

Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)



Research topic

Technologies for Tailored and Predictive in-vehicle Experience


Research interests

Analog, Power and Mixed-Signal Circuits and Embedded Systems
Big Data, Machine Learning, Neural Networks and Data Science
Modeling, simulation and CAD
Multimedia Signal Processing


Luca Barbisan received the master degree in Electronic Engineering Embedded Systems in 2021. During the master thesis he worked on the development of an EDA tool for the simulation of nanomagnetic and molecular circuits.

He is enrolled in the PhD program in Electrical, Electronics and Communications Engineering since November 2022. His research activity is mainly focused on improving the car driving experience and safety using audio sensors inside the vehicle and adopting modern artificial intelligence algorithms.

He is determined to make a meaningful impact in the field of audio sensor technology for the automotive industry, and his research is expected to contribute to the development of new, safer and more advanced vehicles.


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