Alessio is an independent AI/ML researcher with 10+ years of contributions in computer vision and deep learning methods
for visual privacy, decentralized collaborative spatial intelligence, and multimodal perception applied to robotics.
His research interests includes multimodal AI, perception-based pipelines for human-to-robot handovers,
vision-language models, privacy attacks, and benchmarking.
Alessio worked as a research contractor at the Advanced AI Lab of Samsung Research UK from October 2025 until December 2025.
Previously, he was a PostDoc with the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL), UK, from April 2020 until October 2025.
He obtained the Ph.D. in Electronic Engineering with a research focus on Computer Vision from Queen Mary University of London, UK, in September 2020.
He obtained the Master Degree in Telecommunications Engineering and the Bachelor Degree in Electronics and Telecommunication Engineering from the University of Trento in March 2015 and February 2012, respectively.
Learning Privacy from Visual Entities
Proceedings on Privacy Enhancing Technologies (PoPETs) 2025
A spatio-temporal multi-scale binary descriptor
IEEE Tran. Image Process. 2020
Cross-Camera View-Overlap Recognition
Int. Workshop Smart Distributed Cameras, European Conf. Computer Vision, 2022
MORB: a multi-scale binary descriptor
IEEE Int. Conf. Image Process. 2018
Audio-Visual Object Classification for Human-Robot Collaboration
IEEE Int. Conf. Acoustic, Speech and Signal Process. 2022
Multi-view shape estimation of transparent containers
IEEE Int. Conf. Acoustic, Speech and Signal Process. 2020
