Prof. Paolo Soda
Biography
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.
Curriculum
Qualifications
1) PhD in Biomedical Engineering, Curriculum in Computer Science (SSD reference ING INF/05).
Institution: "Campus Bio-Medico" University of ROME (UCBM) - Via Alvaro del Portillo, 21 - ROME
Date awarded: 08/02/2008
Thesis title: Computer-Aided Diagnosis in Antinuclear Autoantibodies Analysis
2) Master's Degree in Biomedical Engineering
Institution: UCBM
Date awarded: 19/11/2004
Thesis title: Automation of diagnostic imaging in Immunofluorescence analysis: acquisition, processing and classification
Mark achieved: 110 cum laude
3) Three-year degree in Biomedical Engineering
Institution: UCBM
Date awarded: 23/10/2002
Thesis title: Realization of a non-invasive device for the safe execution of otological surgery
Mark achieved: 110 cum laude
Experiences (4 most recent)
1) Period: from 01/11/2022 to 31/10/2025
Position: Research Coordinator and Third Mission
Institution: Departmental Faculty of Engineering, UCBM
2) Period: from 01/04/2022
Position: Visiting Professor in Artificial Intelligence and Biomedical Engineering
Institution: Department of Radiation Sciences, Umeå University, Umeå Sweden
3) Period: from 01/02/2022
Position: Full Professor, SSD ING-INF/05, Information Processing Systems
Institution: UCBM
4) Period: from 01/01/2015 to 31/1/2022
Position: Associate Professor, SSD ING-INF/05, Information Processing Systems
Institution: UCBM
Attribution of official teaching or research assignments (fellowship) at universities and institutes
of research, foreign and international, of high qualification
1) Period. From October 2021
Typology: Deputy coordinator of the National PhD in Artificial Intelligence, Health and Life Sciences area
Typology: Coordinator of the organizing committee of the National Doctoral School in Artificial Intelligence, in Health and Life Sciences, 26-30 September 2022
2) Period: 11/2014
Typology: Teaching and Research
Institution: Henan University, China
3) Period: 09/2012 – 03/2013 and from 01/2015 – 02/2015
Typology: Teaching
Institution: Locarno medical technical high school, digital image processing module, course for medical radiology technician
4) Period: 09/2012 – 09/2012
Typology: Teaching and Research
Institution: Eindhoven University of Technology, Dept of Computer Science, The Netherlands
5) Period: 03/2010 - 04/2010
Typology: Teaching and Research
Institution: Polytech'Nice, Université de Nice-Sophia Antipolis, France
Other scientific activities
He is reviewer, guest editor, member of the program committee in congresses and journals in the fields of his scientific interests. He is a member of the steering committee of the IEEE Symposium on Computer Based-Medical System, and in 2012, 2016, 2018, 2019, 2020, 2021 he was its general chair. He was co-guest editor of Pattern Recognition, Artificial Intelligence in Medicine, Information Processing & Management, Computational Intelligence. He is associate editor of the Proceedings of the 34th/35th/36th Annual International Conference of the IEEE Engineering in Medicine & Biology Society.
He is a founding member of the IEEE Technical Committee on Brain-inspired Cognitive Systems, and an executive committee member of the IEEE Technical Consortium on High Performance Computing.
He is reviewer of competitive tenders for funding agencies (Vidi, ANR, NWO, EPFL).
PUBLICATIONS
Most relevant publications of the last 10 years.
For the complete list you can refer to the following Scopus link:
https://www.scopus.com/authid/detail.uri?authorId=22036116900
- Tronchin, L., Vu, M.H., Soda, P., & Löfstedt, T. (2025). LatentAugment: Data augmentation via guided manipulation of gan's latent space. IEEE Transactions on Pattern Analysis and Machine Intelligence.
- Guarrasi, ... & Soda, P. (2025). A systematic review of intermediate fusion in multimodal deep learning for biomedical applications. Image and Vision Computing, 105509.
- Guarrasi, V., ..., & Soda, P. (2024). Multimodal explainability via latent shift applied to COVID-19 stratification. Pattern Recognition, 156.
- Zhang, C., et al (2025). A systematic review on long-tailed learning. IEEE Transactions on Neural Networks and Learning Systems.
- Caruso, C. M., Guarrasi, V., Ramella, S., & Soda, P. (2024). A deep learning approach for overall survival prediction in lung cancer with missing values. Computer Methods and Programs in Biomedicine, 254.
- Rofena, A., Guarrasi, ... & Soda, P. (2024). A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography. Computerized Medical Imaging and Graphics, 116.
- Gravina, M., Santucci, D., Cordelli, E., Soda, P., & Sansone, C. (2024). Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation. IEEE Transactions on Artificial Intelligence.
- Gravina, M., García-Pedrero, A., Gonzalo-Martín, C., Sansone, C., & Soda, P. (2024). Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data. Artificial Intelligence in Medicine, 149, 102774.
- Tronchin, L., Cordelli, E., Celsi, L.R., Maccagnola, D., Natale, M., Soda, P., & Sicilia, R. (2024). Translating Image XAI to Multivariate Time Series. IEEE Access.
- Guarrasi, V., & Soda, P. (2023). Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes. Computers in Biology and Medicine, 154, 106625.
- Tortora, M., ... & Soda, P. (2023). RadioPathomics: multimodal learning in non-small cell lung cancer for adaptive radiotherapy. IEEE Access, 11, 47563-47578.
- Soda, P., D'Amico, N.C., ... & Papa, S. (2021). AIforCOVID: predicting the clinical outcomes in patients with COVID-19 by applying AI to chest-X-rays. An Italian multicentre study. MEDICAL IMAGE ANALYSIS
- Guarrasi, V., D'Amico, NC, Sicilia, R., Cordelli, E., Soda, P. (2021) Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. PATTERN RECOGNITION, 2022, 121
- Tortora, M., Cordelli, E., Sicilia, R., Miele, M., Matteucci, P., Iannello, G., Ramella, S., Soda, P. (2021) Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2021, 119
- Sicilia R, Merone M, Valenti V, Soda P (2021). Rule-based Space Characterization for Noise Detection in Health. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Sicilia R, Lo Giudice S, Pei Y, Pechenizkiy M, Soda P (2018). Twitter rumor detection in the health domain. EXPERT SYSTEMS WITH APPLICATIONS, vol. 110
- Soda P, Sicilia R, Acciai L, Iannello G (2020). Inter-attribute grasping and temporal variability in multivariate time series. IEEE TRANSACTIONS ON BIG DATA
- Onofri L, Soda P, Pechenizkiy M, Iannello G (2016). A survey on using domain and contextual knowledge for human activity recognition in video streams. EXPERT SYSTEMS WITH APPLICATIONS, vol. 63
- Acciai L, Soda P, Iannello G (2016). Automated Neuron Tracing Methods: An Updated Account. NEUROINFORMATICS vol. 14
- Frasconi P, Silvestri L, Soda P, Cortini R, Pavone FS, Iannello (2014). Large-Scale Automated Identification of Mouse Brain Cells in Confocal Light Sheet Microscopy Images. BIOINFORMATICS, vol. 30
