Fabio Galasso

Prof. Fabio Galasso heads the Perception and Intelligence Lab (PINLab) at the Department of Computer Science, Sapienza University of Rome. Previously, he founded and directed the Computer Vision Department at OSRAM in Munich, Germany, and conducted research at the University of Cambridge and Max Planck Institute for Informatics.

His educational background includes a Master's Degree cum laude from RomaTre University and a PhD from the University of Cambridge, Department of Engineering. Prior to his academic career, he worked as a Researcher at Ericsson Laboratories and as a Project Engineer at Telecom Italia.

Prof. Galasso's research focuses on fundamental aspects of computer vision and machine learning, with particular interest in distributed and multi-agent intelligent systems, perception tasks including detection, recognition, re-identification, and forecasting, and general intelligence encompassing reasoning, meta-learning, and domain adaptation. His work emphasizes sustainable AI frameworks with low-power consumption and constrained computational resources, as well as interpretable and verifiable AI systems. Earlier in his career, he conducted significant research on video analysis and segmentation, scene understanding, clustering, and 3D reconstruction from texture.

His recent publications demonstrate strong contributions across multiple cutting-edge areas in computer vision, with a clear progression from fundamental research on video segmentation and texture analysis to practical applications in human motion forecasting, person search, and anomaly detection. His work consistently bridges theoretical computer vision with practical applications in smart lighting, retail, and city infrastructure.

• 2019 IoT/WT Innovation World Cup
• 2019 Digital Champions Award
• 2018 Deutscher Digital Award

Prof. Galasso has coordinated a Marie Sklodowska-Curie Actions project (Horizon 2020) and served as Principal-Co-Investigator in multiple German-funded projects. He is actively involved in the academic community, serving as area chair for major conferences including NeurIPS, ECCV, and CVPR, and organizing workshops on specialized topics in computer vision. His leadership in the Perception and Intelligence Lab drives innovation in both theoretical understanding and practical implementations of computer vision technologies.