Organizers

Jacopo Bonato is a research scientist in AI at Leonardo Labs. He completed his undergraduate and graduate studies in physics at the University of Trento before achieving his Ph.D. in Data Science and Computing from the University of Bologna and the Istituto Italiano di Tecnologia. His research interests focus on computational neuroscience, semantic segmentation, continual learning, and privacy in computer vision.

Luigi Sabetta is a research scientist in AI at Leonardo Labs and an experimental physicist who earned both a master's and Ph.D. in Physics from Sapienza University of Rome and CERN. Throughout his academic and professional journey, his focus has been on high-energy physics, nuclear physics, and computer vision (and in particular continual learning and machine unlearning).

Marco Cotogni is a research scientist in AI. He earned a Master's and Ph.D in Computer Science from the University of Pavia, Italy. Previously, he was a Research intern at the Computer Vision Center of Barcelona. From July 2023 to June 2024, he was a research scientist at Leonardo Labs. His research interests include Computational Photography, Continual Learning, and Privacy in Computer Vision.

Lorenzo Baraldi is a Tenure Track Assistant Professor at the University of Modena and Reggio Emilia, Italy. He works on Deep Learning, video analysis and Multimedia, and teaches courses in Computer Vision, Scalable AI, and AI for Automotive.

Samuele Poppi received the M.Sc. degree in Computer Engineering cum laude from the University of Modena and Reggio Emilia in 2021. Currently, he is a Ph.D. student of the Italian National Ph.D. Program in Artificial Intelligence. His research interests include responsible AI and machine unlearning.

Sara Sarto received the M.Sc. degree in Computer Engineering cum laude from the University of Modena and Reggio Emilia in 2022. She is currently pursuing a PhD in Information and Communication Technologies (ICT) at the University of Modena and Reggio Emilia. Her research interests include vision-and-language models mainly focusing on image captioning and cross-modal retrieval.