Hi. I'm Pier Paolo Tricomi.
I'm a PhD Student at the University of Padova, Italy. My main interests are Security and Privacy in Social Networks and Video Games.
More About Me My ResearchI'm a PhD Student at the University of Padova, Italy. My main interests are Security and Privacy in Social Networks and Video Games.
More About Me My ResearchI'm a Computer Scientist with a strong passion for CyberSecurity. Since October 2020, I'm attending the PhD programme in Brain, Mind and Computer Science (BMCS) at the University of Padova. Here, I am part of the Security and Privacy (SPRITZ) research group, under the supervision of Prof. Mauro Conti. My research interests lie primarily in Security and Privacy in Online Social Networks and Video Games, with a particular focus on Machine Learning and Deep Learning applications for User Profiling, Private Data Inference, and Fake Data Detection. I have recently been focusing on privacy issues in the Metaverse. I am also interested in authentication and de-authentication systems.
Master's Degree in Computer Science
University of Padova (Oct 2017 - Apr 2020) Tracks: Artificial Intelligence & CyberSecurity 110/110 with Honors |
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My Full CV (Updated Oct 2022)
Learn about My ResearchMy research focuses on improving Security and Privacy in different aspects of everyday life. I rely on modern Machine Learning and Deep Learning techniques to accomplish this goal.
I am mainly interested in finding fake information in Social Networks, such as fake profiles or fake engagement, and preserve users' privacy.
I focus on gamers profiling, analyzing which information gaming data can reveal, with the aim of protecting players' privacy.
I am working on new methods to authenticate and de-authenticate people on computing systems. This will help users to better protect their data.
I am studying the influencer marketing under several perspectives. Influencers behaviour is of extreme interest to understand information spreading on OSN.
I am working on identifying new privacy threats in the Metaverse. My primary focus is user profiling and which data can be exploited.
To check my Google Scholar page follow this link.
Email: tricomi@math.unipd.it
Office #731, 7th floor
Torre Archimede, via Trieste 63
35121 Padova, Italy