Long Bio
Andrea Ciamarra is a CNIT Researcher (National, Inter-University Consortium for Telecommunications) at the Media Integration and Communication Center (MICC), University of Florence, Italy.
In 2019 Andrea Ciamarra achieved his Master’s Degree with honors in Computer Engineering at the University of Florence, Italy. Later, he received his Ph.D degree in Information Engineering (Computer Engineering curricula) from the same university, working at MICC, with a thesis entitled “Leveraging deep scene features for vision tasks: from classification to forecasting” under the supervision of Prof. Alberto Del Bimbo, Prof. Lorenzo Seidenari and Dr. Federico Becattini. His PhD research focused on investigating relevant scene features to address various vision tasks, particularly future scene understanding applied to autonomous driving and classification problems in deepfake detection. He was a Postdoctoral Researcher at Mercatorum University, Rome, Italy, in 2024, focusing on deepfake detection methods for images and videos.
Presently, he is a Researcher at CNIT Consortium. His research areas include deep learning, computer vision, multimedia forensics and security, and deepfake detection. More details about his works are available on his Google Scholar profile.