Talks

Lorenzo RovidaHomomorphic Encryption from the Lattice Isomorphism Problem Abstract:Homomorphic encryption (HE) is a strong cryptographic primitive that enables computations on encrypted data.Currently, the security of most HE schemes is based on the hardness of the Learning with Errors (LWE) problem.

November 14th, 2024 – h. 15.00 – Sala riunioni primo piano The PhD student Fariha Maqbool will summarize the summer school she has attended in order to award her academic credits, giving an introductory talk on the topics of the

September 26th, 2024 – h. 15.30 – Sala riunioni primo piano The PhD student Chiara Natali will summarize the summer school she has attended in order to award her academic credits, giving an introductory talk on the topics of the

On 24 April at 10:30 in sala seminari we are going to have two PhD talks Francesca MaccaroneAn fMRI single subject’s study with reading impairment – a new paradigm towards personalised medicine Abstract: Typically, fMRI studies predominantly rely on group

14th November 2023 10:00 am Room “Sala Seminari” – Abacus Building (U14) CHIARA NATALI Preserving Human Agency in Hybrid Decision-Making via “Frictional” Decision Support Systems Abstract: Designing in the field of Artificial Intelligence (AI) goes beyond simple programming: it is

Monday February 1st, 2021 – 15:00 https://meet.google.com/fxa-xpxw-aew Paolo Tenti Abstract: Understanding unstructured text is a priority for many real life applications, that requires capturing the right features to maximize the desired inference. This talk will focus on exploiting background knowledge

Monday February 1st, 2021 – 14:30 Dagmawi Delelegn Tegegn https://meet.google.com/fxa-xpxw-aew Abstract: Advances in Near-infrared (NIR) spectroscopy technology led to an increase of interest in its applications in various industries due to its powerful non-destructive quantization tool. In this work, we

Monday February 3 rd , 2020 – 10:30 am Sala Seminari, DISCo Andrea Seveso Abstract: Objective of the work is the development of prognostic machine learning models that predict qualitative and quantitative measures of postnatal growth in very low birth

Monday February 3 rd , 2020 – 11:00 am Sala Seminari, DISCo Paolo Tenti Abstract: Description Logics (DL) have been traditionally proposed for modeling and reasoning about domain specific knowledge with ontologies. In recent years several types of new unstructured