Amelia Sorrenti - PeRCeiVe.AI Lab - Team Members
About Me
I received my Bachelor's and Master's degrees in Computer Engineering from the University of Catania, Italy. Since 2022, I have been enrolled in the Italian National PhD Programme in Artificial Intelligence, carrying out my activities at the University of Catania, where I’m also a member of the PeRCeiVe Lab research group. My research primarily focuses on bio-inspired machine learning, continual learning, and computer vision to understand the underlying dynamics of neural activity through brain imaging data.
PhD Students
Papers
Projects

2025 - Text-aligned radar-based sign language recognition for healthcare communication

Raffaele Mineo, Amelia Sorrenti, Gaia Caligiore, Federica Proietto Salanitri, Giovanni Bellitto, Senya Polikovsky, Sabina Fontana, Egidio Ragonese, Concetto Spampinato, Simone Palazzo

2025 - From Questions to Neural Insights: Towards Query-Based fMRI Decoding

Marco Finocchiaro, Salvatore Calcagno, Isaak Kavasidis, Amelia Sorrenti, Silvia Suchalova, Robert Hudec, Manuela Pennisi, Federica Proietto Salanitri, Concetto Spampinato

2024 - Wake-Sleep Consolidated Learning

Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Simone Palazzo, Concetto Spampinato

2023 - Selective Freezing for Efficient Continual Learning

Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Concetto Spampinato, Simone Palazzo

2023 - FeDETR: A Federated Approach for Stenosis Detection in Coronary Angiography

Raffaele Mineo, Amelia Sorrenti, Federica Proietto Salanitri

2023 - Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data

Federica Proietto Salanitri, Giovanni Bellitto, Raffaele Mineo, Matteo Pennisi, Amelia Sorrenti, Salvatore Calcagno, Daniela Giordano, Simone Palazzo, Concetto Spampinato
No Projects found.