Sara Ferro is a Ph.D. candidate at the Center of Cultural Heritage (CCHT) group at the Italian Institute of Technology (IIT) and at the Department of Environmental Science, Informatics and Statistics (DIAS) at Cà Foscari, University of Venice, Italy. She received a M.Sc. degree in Control and Automation Engineering and a second level Master in Machine Learning from the University of Padua, Italy. Her research focus is on developing machine learning and computer vision algorithms for supporting Historical Document Analysis and Ancient Handwritten recognition.
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