Leonardo Galteri is an Associate Professor at Pegaso University, where he serves as the Principal Investigator for the university’s “Virtual Campus” research project. In this role, he leads a multidisciplinary team dedicated to developing innovative e-learning platforms and virtual learning environments to enhance remote education. Before his current position, he was a Post-Doctoral Researcher at the Media Integration and Communication Center (MICC) at the University of Florence.
During his tenure at MICC, he contributed to several European Union-funded projects, including REINHERIT, which focused on cultural heritage preservation through digital technologies, and AI4MEDIA, aimed at advancing artificial intelligence in media and society. Between 2022 and 2024, he served as an Assistant Professor at Pegaso University.
Leonardo Galteri earned his Ph.D. in Computer Engineering from the University of Florence. His dissertation, titled “Deep Learning for Detection in Compressed Videos and Images,” explored novel methods to improve the efficiency and accuracy of image and video analysis in compressed formats, contributing to advancements in computer vision and multimedia processing.
His research interests encompass Computer Vision, Multimedia Computing, and e-learning applications. He has published numerous papers in leading international journals and conferences, advancing the state of the art in deep learning techniques for image and video quality enhancement.
Leonardo Galteri’s work has been recognized with several awards, including the Best Ph.D. Thesis Award from CVPL (Italian Association for Computer Vision, Pattern Recognition and Machine Learning). He is a member of professional organizations such as the Association for Computing Machinery (ACM), the Computer Vision Foundation (CVF), and CVPL.
In addition to his academic pursuits, he co-founded the university spin-off company Small Pixels in 2020. The company specializes in developing software solutions based on artificial intelligence and deep learning to improve image and video quality, bridging the gap between cutting-edge research and practical applications in industry.”