He is an Assistant Professor (RTD-A) at the University of Genoa in the Department of Naval, Electrical, Electronics and Telecommunications. Previously, he graduated with honors in biomedical engineering from the University Campus Bio-Medico of Rome, where he also completed his PhD in Biomedical Engineering (Computer Science area). He subsequently undertook a PostDoc focusing on Artificial Intelligence for precision medicine at the same university on the topic of Artificial Intelligence. His research interests encompass multimodal deep learning, reinforcement learning, and computer vision in biomedical and industrial fields.

Heads the Perception and Intelligence Lab (PINlab), Department of Computer Science, Sapienza University of Rome, Italy. His research interests include distributed and multi-agent intelligent systems, perception (detection, recognition, re-identification, forecasting) and general intelligence (reasoning, meta-learning, domain adaptation), within sustainable and interpretable AI frameworks. Previously, he founded and directed the Computer Vision Department at OSRAM (Munich, Germany), an international team conducting R&D in artificial intelligence, computer vision and machine learning, in relation to smart lighting applications. Prior to OSRAM, he has conducted research on video analysis and segmentation, scene understanding and clustering at the University of Cambridge (UK) and at the Max Planck Institute for Informatics (Germany). He received his Master's Degree cum laude from the RomaTre University (Italy) and his PhD from the University of Cambridge (UK), Department of Engineering, following research work on texture analysis and 3D reconstruction. He has recently coordinated a Marie Sklodowska-Curie Actions project (Horizon 2020) and was Principal-Co-Investigator in several German-funded projects, from the Ministry of Education and from the Ministry of Economics. 

Professor in Medical radiation physics with joint employment as a medical physicist at the University Hospital of Northern Sweden. His main research area is imaging, MR, and PET, with a connection to radiotherapy. This includes both clinical studies and technical development of for example AI solutions and research tools for image analysis. A current focus area is prostate cancer where I in collaboration with oncology, pathology, radiology, and computer science work toward a better understanding of the correlation between clinical imaging and histopathology and molecular risk markers. The goal is to advance the possibilities to optimize radiotherapy for the individual patient.

She received the Ph.D. degree in Biomedical Engineering from the University of Coimbra (Portugal), in 2014. She then finished her postdoctoral training at the University of Lleida (Spain), in 2017, and the University of California at San Francisco (USA), in 2019. She is currently an Assistant Researcher with the INESC TEC - Institute for Systems and Computer Engineering, Technology and Science (Portugal), where she conducts research in the fields of image and signal processing and the applications of machine learning in biomedical research. She is also an Assistant Professor at the University of Coimbra.

Graduated in Computer Engineering from the University of L’Aquila, in 2010, and the Ph.D. degree in electrical and information engineering from the University of Cassino and Southern Lazio, in 2014. In 2019, he joined the Department of Electrical and Information Engineering (DIEI), University of Cassino and Southern Lazio, where he is currently an Associate Professor in computer science and artificial intelligence. He has authored 60 International journals and conference proceedings research papers. His current research interests include medical image analysis, EEG signal analysis, and unstructured EHR analysis. He is a member of the Editorial Board of the journals Frontiers in Artificial Intelligence and Frontiers in Big Data. He is a member of the International Association of Pattern Recognition (IAPR).

She is a Biomedical Engineer graduated with honours at University Campus Bio-Medico of Rome and a PhD student in Artificial Intelligence (Health and Life Science Area), within the Department of Engineering at the same institution. As part of the Computer Systems and Bioinformatics Unit, her research is focused on the development and application of advanced AI techniques, including multimodal deep learning, computer vision, and generative artificial intelligence, specifically tailored to the healthcare domain. Her recent projects involve using GANs and Diffusion Models to advance biomedical imaging, and multimodal learning to improve breast cancer diagnostics.