degrees
Computer Science @ University of Turin
Curriculum in Artificial Intelligence.
Focus: Deep Learning, Natural Language Processing, Computer Vision.
GPA: 29.4/30
Focus: Deep Learning, Natural Language Processing, Computer Vision.
GPA: 29.4/30
Computer Science @ University of Salerno
Final Grade: 110/110 cum laude.
Thesis: "Analysis and Mitigation of Fake News Diffusion: Development of a Simulation Platform Based on Agent-Based Models and Deep Reinforcement Learning".
Thesis: "Analysis and Mitigation of Fake News Diffusion: Development of a Simulation Platform Based on Agent-Based Models and Deep Reinforcement Learning".
publications
Turning AI into a regulatory sandbox: exploring information disorder mitigation strategies with ABM and deep reinforcement learning
Authors: R. Zaccagnino, N. Lettieri, D. Malandrino, L. Lomasto, A. Camoia, A. Guarino
Published in: Springer Nature in Neural Computing and Applications
Co-developed a framework to counter Social Media Information Disorder using Model-Based Simulation and Reinforcement Learning. Engineered a dedicated web application to manage simulations and provide advanced data visualization of experimental results.
Published in: Springer Nature in Neural Computing and Applications
Co-developed a framework to counter Social Media Information Disorder using Model-Based Simulation and Reinforcement Learning. Engineered a dedicated web application to manage simulations and provide advanced data visualization of experimental results.