Alessandro Perelli is a Lecturer in Artificial Intelligence at the University of Glasgow, working on computational imaging for medical applications such as spectral X-ray Computed Tomography, Magnetic Resonance Imaging and prediction models for clinical diagnostic.
He received a Royal Academy of Engineering/Leverhulme Trust Research Fellowship in 2024 on the research project "Physics-guided Deep Learning for Automatic Material Decomposition in Photon Counting Computed Tomography".
From 2021 to 2025 Alessandro has been a Lecturer in Biomedical Engineering at the University of Dundee.
From 2018 to 2021, he was an H. C. Ørsted COFUND Postdoctoral Fellow at the Technical University of Denmark - DTU and my research is based on the funded fellowship called DRIFT - Deep and Randomized Imaging For Tomography.
From 2014 to 2018, he was a Research Associate at the University of Edinburgh (UK) at the Institute for Digital Communications working on signal/image processing techniques for exploring the use of low dimensional structure to reduce the computational cost of solving computational imaging problems.
In May 2014 he pursued the Ph.D. degree in Electronic Engineering at the Department of Electrical, Electronics and Information Engineering - DEI, University of Bologna.
He received his Master of Science degree in "Electronic Engineering" in October 2010 and his Bachelor of Science in "Electronic Engineering" in 2007, both at the University Polytechnic of Marche, Ancona (Italy). From September 2012 to June 2013 he has been a Visiting Research Scholar at the University of Leeds, Ultrasound Group of Dr. Steven Freear.