Paolo Soda graduated with honors in Biomedical Engineering at Campus Bio-Medico University (UCBM) of Rome in 2004 and obtained the PhD in Biomedical Engineering (IT area) in 2008 at the same University. He is Full Professor of Information Processing Systems at theUCBM, Visiting Professor in Artificial Intelligence and Biomedical Engineering at the Department of Diagnostics and Intervention, Umeå University, Sweden. He is also the coordinator of the National Doctorate in Artificial Intelligence, for the Health and Life Sciences area (cycles XXXIX, XL, and XLI) and vice coordinator for cycles XXXVII and XXXVIII. His research interests include artificial intelligence (AI), machine learning, big data analytics, data mining, and 2D and 3D image and video processing and analysis. He serves on program committees of international conferences and serves as a reviewer for international journals, as well as a guest editor for high-impact international journals. Since 2012, he has served as associate editor of the proceedings of the Annual Int Conference of the IEEE Engineering in Medicine & Biology Society. From 2018 to 2021, he chaired the steering committee of the IEEE Int Symposium of Computer-Based Medical Systems. He has served as co-PI of national and international projects. His research activity is certified by >190 scientific publications, >2850 citations, h-index 29 (Scopus, 21/09/2025). He is co-author of 6 papers in proceedings of international conferences that received an award (IEEE LSC 2018, IEEE BIBM 2018, IEEE ICCI*CC 2019, IEEE CBMS 2021, IEEE CBMS 2025). He coordinated the winning working group of 2 international competitions: "COVID CXR Hackathon" (2022 Dubai Expo) and "All against COVID-19: Screening X-ray Images for COVID-19 Infection" (IEEE 2021). He is co-founder of BPCOmedia srl, an innovative start-up and non-owned spin-off of UCBM.