BIANCHINI MONICA

Office hours

  • Wednesday from 10:00 to 12:00
    Place: Stanza 120 - Edificio San Niccolò
  • Wednesday from 10:00 to 12:00
    Place: Stanza 120 - Edificio San Niccolò

Contacts

0577235871 [int.5871]

Curriculum Vitae

Teaching activities

Completion accademic year: 2026/2027

Completion accademic year: 2025/2026

Course year: 2 Second cycle degree (Laurea Magistrale) APPLIED MATHEMATICS A.Y. 2024/2025
Course year: 3 First cycle degree (DM 270) INGEGNERIA INFORMATICA E DELL'INFORMAZIONE A.Y. 2023/2024

Completion accademic year: 2024/2025

Course year: 2 Second cycle degree (Laurea Magistrale) APPLIED MATHEMATICS A.Y. 2023/2024
Course year: 3 First cycle degree (DM 270) INGEGNERIA INFORMATICA E DELL'INFORMAZIONE A.Y. 2022/2023

Completion accademic year: 2023/2024

Course year: 2 Second cycle degree (Laurea Magistrale) APPLIED MATHEMATICS A.Y. 2022/2023
Course year: 3 First cycle degree (DM 270) COMPUTER AND INFORMATION ENGINEERING A.Y. 2021/2022

Completion accademic year: 2022/2023

Course year: 2 Second cycle degree (Laurea Magistrale) APPLIED MATHEMATICS A.Y. 2021/2022
Course year: 3 First cycle degree (DM 270) COMPUTER AND INFORMATION ENGINEERING A.Y. 2020/2021

Completion accademic year: 2021/2022

Course year: 2 Second cycle degree (Laurea Magistrale) APPLIED MATHEMATICS A.Y. 2020/2021

Research

Ultime pubblicazioni:

  • Giuseppe Ceroni, E., Andreini, P., Bianchini, M. (2026). Efficient Single-Lead ECG Analysis System with Multi-Lead Reconstruction. In 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp.405-410). New York : IEEE [10.1109/MetroXRAINE66377.2025.11340353]. - view more
  • Costanti, F., Cappelli, I., Ceroni, E.G., Bianchini, M., Fort, A. (2026). Foliar wetness prediction using sensor network data and WaveNet-based deep learning models. In 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp.1036-1041). New York : IEEE [10.1109/MetroXRAINE66377.2025.11340571]. - view more
  • Nunziati, G., Porri, A., Andreini, P., Bonechi, S., Bianchini, M., Pecci, R., et al. (2026). A Deep Learning Approach for Nystagmus Recognition in RGB Videos. In 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp.1331-1336). New York : IEEE [10.1109/MetroXRAINE66377.2025.11340186]. - view more
  • Andreini, P., Tanfoni, M., Bonechi, S., Bianchini, M. (2026). Leveraging Synthetic Data for Zero–Shot and Few–Shot Circle Detection in Real–World Domains. PATTERN RECOGNITION, 172(A) [10.1016/j.patcog.2025.112407]. - view more
  • Corradini, B.T., Cullen, B., Gallegati, C., Marziali, S., Alessio D'Inverno, G., Bianchini, M., et al. (2026). Training dynamics of GANs through the lens of persistent homology. NEUROCOMPUTING, 661 [10.1016/j.neucom.2025.131976]. - view more