About

PhD at QMUL/FBK

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His Ph.D. was funded from 2015 to 2019 under the Audio-Visual Intelligent Sensing Project, a joint collaboration between QMUL and Fondazione Bruno Kessler (FBK), Italy. Alessio investigated the problem of matching local spatio-temporal features between moving monocular cameras under the supervision of Prof. Andrea Cavallaro (QMUL) and Dr. Oswald Lanz (FBK). He also collaborated within the project to investigate the problem of audio-visual tracking in 3D of a talking person from a co-located camera with a circular microphone array, and the annotation and calibration of the audio-visual recording system for a novel dataset (CAV3D) in conjuction with the tracking task. During the Ph.D. program, Alessio was also Demonstrator for the module Introduction to Computer Vision with Prof. Andrea Cavallaro for the years 2018 and 2019. He prepared tutorials, assisted students during the lab sessions, and marked/graded the module coursework (software and report).

Internship at INRIA Grenoble Rhone-Alpes

For the master thesis, Alessio took a 6-months internship with the PERCEPTION team at INRIA Grenoble Rhone-Alpes (March-August 2014), and he investigated the problem of Multiple Object Tracking under the supervision of Dr. Radu Horaud (INRIA) and Dr. Nicola Conci (MMLAB, UNITN), and co-advised by Xavier-Alameda Pineda and Sileye Ba.

Bachelor and Master at UNITN/INRIA

Alessio obtained the Bachelor degree in Electronic and Telecommunications Engineering (2008-2012) and the Master degree (2-years) in Telecommunications Engineering (2012-2015) at University of Trento (UNITN), Italy. From March to September 2015, before starting the Ph.D., Alessio also collaborated with MMLAB (UNITN) for the development of a client-server application within the LifeGate project and for the collection and annotation of datasets for the Synchronization of Multi-User Event Media task.





Photo gallery

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Presenting CORSMAL at the ARQ-Robotics Centre Research Day (6 Dec 2022)
Presenting MORB at the EECS Research Day 2019
Yonsei/QMUL workshop
Intelligent Sensing Summer School 2018