PANZARDI ENZA
Enza
Panzardi
Ricercatore Legge 240/10 - tempo determinato
Contacts
0577232864 [int.2864]
Teaching activities
Completion accademic year: 2025/2026
Course year: 3
First cycle degree (DM 270)
INGEGNERIA INFORMATICA E DELL'INFORMAZIONE
A.Y. 2023/2024
Completion accademic year: 2024/2025
Course year: 3
First cycle degree (DM 270)
INGEGNERIA INFORMATICA E DELL'INFORMAZIONE
A.Y. 2022/2023
Course year: 3
First cycle degree (DM 270)
INGEGNERIA INFORMATICA E DELL'INFORMAZIONE
A.Y. 2022/2023
Course year: 2
Second cycle degree (Laurea Magistrale)
ELECTRONICS AND COMMUNICATIONS ENGINEERING
A.Y. 2023/2024
Completion accademic year: 2023/2024
Course year: 2
Second cycle degree (Laurea Magistrale)
ELECTRONICS AND COMMUNICATIONS ENGINEERING
A.Y. 2022/2023
Completion accademic year: 2022/2023
Completion accademic year: 2021/2022
Research
Ultime pubblicazioni:
- Fort, A., Mugnaini, M., Panzardi, E., Vignoli, V. (2024). Enhancing Environmental Noise Reduction in Photoacoustic Systems through Dual Microphone Exploitation. In 2024 IEEE Sensors Applications Symposium (SAS) (pp.1-6). New York : IEEE [10.1109/SAS60918.2024.10636381]. - view more
- Fort, A., Mugnaini, M., Panzardi, E., Vignoli, V. (2024). Toward a compact low-cost electronic interface for photoacoustic based gas sensors. In 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). New York : IEEE [10.1109/I2MTC60896.2024.10560957]. - view more
- Fort, A., Mugnaini, M., Panzardi, E., Vignoli, V. (2024). Investigating Temperature Effects on Resonant Photoacoustic Gas Sensor: Ring-Shaped Cell Case Study. In 2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE). New York : IEEE [10.1109/ROSE62198.2024.10590927]. - view more
- Carli, F., Fort, A., Micheletti, F., Mugnaini, M., Panzardi, E., Vignoli, V. (2024). A Smart Low-Cost QCM-D Based on Lightweight Frequency Domain Processing. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 73, 1-13 [10.1109/tim.2023.3348895]. - view more
- Cappelli, I., Fort, A., Mugnaini, M., Panzardi, E., Vignoli, V. (2023). Machine Learning Regressor for Impedance Parameter Estimation of QCM Sensors for Liquid Media Characterization. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp.371-376). New York : IEEE [10.1109/MetroXRAINE58569.2023.10405662]. - view more