Luca Barbisan

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

Adjunct lecturer/Adjunct instructor

Adjunct lecturer/Adjunct instructor
Department of Electronics and Telecommunications (DET)

luca.barbisan@polito.it

Profile

PhD

Research topic

Technologies for Tailored and Predictive in-vehicle Experience

Tutors

Keywords

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

Biography

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.

Teaching

Teachings

Master of Science

Microelectronic systems. A.A. 2025/26, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso

Publications

Latest publications View all publications in Porto@Iris

De Simone, Andrea; Barbisan, Luca; Turvani, Giovanna; Riente, Fabrizio (2024)
Advancing Beekeeping: IoT and TinyML for Queen Bee Monitoring Using Audio Signals. In: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 73, pp. 1-9. ISSN 0018-9456
Contributo su Rivista
Barbisan, Luca; Turvani, Giovanna; Riente, Fabrizio (2024)
A Machine Learning Approach for Queen Bee Detection Through Remote Audio Sensing to Safeguard Honeybee Colonies. In: IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS., vol. 2, pp. 236-243. ISSN 2771-9529
Contributo su Rivista
De Simone, Andrea; Barbisan, Luca; Turvani, Giovanna; Riente, Fabrizio (2024)
IoT-Based Bee Colony Health Monitoring: A Focus on Energy Impact and Audio Feature Extraction. In: 2024 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2024, Padova (Ita), 29-31 Ottobre 2024, pp. 289-294. ISBN: 979-8-3503-5544-4
Contributo in Atti di Convegno (Proceeding)

Knowledge Valorisation

Technology transfer

Windshield wiper blade worn out detection. national Patent
Inventors: Luca Barbisan Fabrizio Riente