I was a short-term scholar at Boise State University, Boise, ID.
Program period: 17th July, 2022 - 31st December, 2022.
Boise is a beautiful city where each person is very friendly. There are a lot of parks for relaxing.
What do you do for fun? Hiking!

Currently, I am a fixed-term researcher at the ICAR-CNR. I was employed to carry out scientific-technological research activities within the PNRR Project SERICS - SEcurity and RIghts In the CyberSpace.

I have been involved on the micro-project “Human Behavior is a matter of Time! Modeling Events Interactions through Temporal Processes” that is part of EU H2020 ICT48 project Humane-AI-Net. The goal of the micro-project is to investigate methods for learning probabilistic model for event sequences. From the study of those models, we want to provide an overview of the current advances as well as a repository of available datasets that can be exploited for research and study.

In 2022, I have been involved on the project CyberSecurity4Europe to produce the technical report "Generative methods for out-of-distribution prediction and applications for threat detection and analysis". The technical report wants to provide an overview on some recent Deep Learning based methods and techniques for outlier detection and generation, and the main application scenarios in cybersecurity domain in which these approaches can be effectively adopted.

In 2019, I have been involved on the project SON-SecureOpenNets:Distributed Ledgers for Secure Open Communities that is part of the MIUR - PON Research and Innovation 2014-2020. The goal was to study new methodologies, techniques and software solutions capable of playing an enabling role for Blockchain technologies in the application contexts of privacy, sharing economy and digital rights. The activity carried out focused on the study of the specifications of the currently most used blockchain technologies and the main intelligent platforms for defining machine learning models. Furthermore, in collaboration with my collegues of the ICAR-CNR, I have defined autoencoder-based models to detect attacks on the blockchain (as case study we test our framework on the Etherium Classic Network).