Leonardo RUNDO | Curriculum

Leonardo Rundo received his Bachelor’s and Master’s Degrees in Computer Science Engineering from the University of Palermo, Palermo, Italy, in 2010 and 2013, respectively. His Master thesis area was on adaptive data-driven Graphical User Interfaces (GUIs) based on DICOM for medical imaging software. Since December 2013, he has been a Research Fellow at the Institute of Molecular Bioimaging and Physiology, National Research Council of Italy (IBFM-CNR), Cefalù (PA), Italy. In February 2019, Leonardo completed his Ph.D. programme in Computer Science with a thesis on “Computer-Assisted Analysis of Biomedical Images”, under the supervision of prof. Giancarlo Mauri, at the University of Milano-Bicocca, Milan, Italy. During his Ph.D. programme, he was a Visiting Scholar at the Department of Cancer Biology (Vanderbilt University, Nashville, TN, USA), the Department of Creative Informatics (The University of Tokyo, Tokyo, Japan), and the Computer Laboratory (University of Cambridge, Cambridge, UK).

From November 2018 to September 2021, Leonardo was a Research Associate at the Department of Radiology, University of Cambridge, Cambridge, UK, supervised by prof. Evis Sala, tightly collaborating also with the Cancer Research UK Cambridge Centre. He was also a Postdoctoral Research Associate at the Fitzwilliam College, University of Cambridge, UK, and served as a Machine Learning Consultant for Lucida Medical Ltd., Cambridge, UK.

Leonardo is currently an Associate Professor (in Information Processing Systems) at the Department of Information and Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, Fisciano (SA), Italy, after holding a 3-year Tenure-Track Senior Assistant Professor (RTD-b) position from October 2021. He is a member of the Intelligent Machines for the Recognition of Video, Images and Audio (MIVIA) Lab.

His research activities are mostly focused on computer vision, medical imaging, oncological image analysis, radiomics, biomedical signal analysis, Machine Learning and Computational Intelligence.

Leonardo has been named in the World's Top 2% Scientists’ List according to the composite indicator (c-score) introduced and conducted by the Stanford University for the years 2021, 2022, 2023 (single-year ranking) in the field “Information & Communication Technologies”, specifically for the two sub-fields “Artificial Intelligence & Image Processing” and “Nuclear Medicine & Medical Imaging”.