Paolo is an expert in AI: his research interests include multimodal (deep) learning, generative approaches, eXplainable AI, and resilience of AI algorithms.
Paolo Soda graduated in Biomedical Engineering from University Campus Bio-Medico (UCBM) in Rome in 2004 and received his PhD in Biomedical Engineering (computer science area) in 2008 from the same University. He is a Full Professor in Computer Science at UCBM, and a Visiting Professor in Artificial Intelligence and Biomedical Engineering at the Department of Diagnostics and Intervention, Umeå University, Sweden. He has been serving as Research and Third Mission Coordinator, at the Department of Engineering, UCBM. He is also the Coordinator of the National PhD program in Artificial Intelligence, Health and Life Sciences area for the XXXIX cycle, and Deputy Coordinator for the XXXVII and XXXVIII cycles.
He is an expert in AI: his research interests include multimodal (deep) learning, generative approaches, eXplainable AI, and resilience of AI algorithms.
His research is applied to various domains: 2D and 3D image and video processing and analysis in healthcare, clinical data analysis, AI models for 5P medicine with a special focus on oncology. Other application areas are outside medicine, such as social media analytics and energy management.
He is a member of programme committees of international conferences and he served as guest editor for international impacted journals. Since 2012, he has been an 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.
From 2017 to 2022 he chaired the IEEE International Technical Committee for Computational Life Sciences.
He has been co-PI of national and international projects.
His research activity is certified by >155 scientific publications, >2150 citations, h-index 24 (Scopus, March 2024). He is co-author of 4 papers in award-winning international conference proceedings (IEEE LSC 2018, IEEE BIBM 2018, IEEE ICCI*CC 2019, IEEE CBMS 2021).
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 a member of IEEE, CVPL, SIBIM, and co-founder of BPCOmedia srl.