I received my B.Sc. and M.Sc. in Computer Engineering from Politecnico di Milano (Italy) in 2007 and 2010, respectively. In 2010 I spent four months as an undergraduate student in Tampere University of Technology (Finland) to develop my M.Sc. thesis.
Immediately after graduation I started a Ph.D. programme with the Department of Signal Processing in Tampere University of Technology, which I completed with honours in 2015. During my doctorate I also visited the EECS Department in Northwestern University (Chicago, IL, USA) as a pre-doctoral fellow.
Currently, I held a research associate position with the Department of Electrical and Electronic Engineering in Imperial College London (UK), and I am also involved in a start-up incubation within the same institution and Imperial Innovations.
The topic of my doctoral thesis was centred around nonlocal imaging methods for multidimensional data restoration. The thesis proposes several state-of-the-art restoration and enhancement algorithms leveraging novel multidimensional data models combined with nonlocal paradigms and sparsifying spectral techniques. These algorithms have found practical applications in medical, thermal, as well as consumer imaging.
Currently, my research interests mainly focus on sampling theory applied to upsampling and super-resolution of images as well as videos, and thus complements my image processing background with elements of sparse sampling theory, transform-domain techniques, and computer vision methods.
I am also interested in high-performance implementation of numerical and imaging algorithms on CPU.