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Paolo Soda is a Full Professor specializing in Artificial Intelligence and Biomedical Engineering at Umeå University, Sweden. He graduated in Biomedical Engineering from University Campus Bio-Medico (UCBM) in Rome in 2004 and obtained a PhD in Biomedical Engineering in the computer science area in 2008. His research interests focus on multimodal (deep) learning, generative approaches, Explainable AI, and resilience AI algorithms, with applied domains in 2D and 3D image and video processing, clinical data analysis, and AI models for precision medicine, particularly in the oncology field. He has authored over 165 scientific publications with more than 2350 citations, achieving an h-index of 26. Besides his teaching responsibilities, he serves as a Research Mission Coordinator and has held leadership roles in various national and international projects and conferences. His contributions have made significant impacts in the areas of healthcare analytics and energy management, demonstrating a strong professional focus on integrating AI into medicine.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.