
Hi! I am Gabriele and I am currently a PhD student at the University of Palermo. My research ares involve Artificial Intelligence and CyberSecurity.
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Università degli Studi di Palermo
Data Scientist
June 29, 2026 – Present
REFINE-CDSG
January 12, 2026 – Present
Official implementation for Concept Drift Stream Generator (CDSG) from "REFINE: Robust Evaluation Framework for IDS under Concept Drift in Dynamic Environments"
View Projectanalisi_segnali
March 23, 2025 – October 30, 2025
Repository for projects conducted for the Intelligent Signal Processing course at the University of Palermo. This repo contains also the final project titled "Speech features for Speaker Verification and Identification tasks".
View Projectros2-packages
September 22, 2024 – September 30, 2024
Repository for my personal ros2 packages. Packages include different modules for autonomus driving vehicle used for SHARPER NIGHT 2024 held at University of Palermo.
View Projectledwall_webapp
June 16, 2024 – June 16, 2024
Web application build with Java Spring and Jakarta server for A Smart Led Wall, involving API calls and a server for managment of led walls.
View Projectcv-pedestrian-tracking
June 16, 2024 – June 16, 2024
Computer Vision - Pedestrian Tracking
View Projectcv-master-pedestrian-detection
April 23, 2024 – May 12, 2024
Project for Pedestrian Detection for the Computer Vision master subject, involving all the steps from training to evaluation.
View Projectpalermo-fe-final-project
October 10, 2020 – December 23, 2020
palermo-fe-final-project — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and academic, showcasing initiative and self-learning. However, the lack of professional team-based projects or diverse industry experience makes it difficult to fully assess cultural fit for a senior role. The current 'Data Scientist' role at Università degli Studi di Palermo has a future start date, providing no current professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects.