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Teaching Assistant

Teaching assistant for the course of Algorithms and Data Structures for the Bachelor in Electronic Engineering.

• Frontal lessons about C programming language and data structures

CTO

SoundFood S.r.l.

Software Engineer

Audio Innova S.r.l.

Audio Innova is a company that develops and manufactures innovative audio products for the professional and consumer markets.

• Developed a new algorithm for the automatic detection of damaged parts of audio tapes recorded on magnetic media

Clarinetist

Orchestra di Padova e del Veneto

The Orchestra di Padova e del Veneto is a symphony orchestra based in Padua, Italy. It was founded in 1967 by the Veneto Region and the Municipality of Padua.

• Performed with world-renowned conductors and soloists
• Performed ranging from classical to contemporary repertoire with piccolo clarinet, clarinet and bass clarinet

Ph. D. program Brain, Mind and Computer Science

Università degli Studi di Padova, Italy

Psychology and Computer Science

Master in Clarinet

Conservatorio di Musica "Cesare Pollini", Padua, Italy

Music

• Clarinet
• Chamber Music
• Orchestra
• Harmony
• Music History
• Music Theory
• Ear Training

Bachelor in Computer Science

Ca'Foscari University, Venice, Italy

Computer Science

• Software Engineering
• Object Oriented Programming
• Web Development
• Database
• Algorithm and Data Structures
• Computer Architecture
• Operating Systems
• Computer Networks
• Artificial Intelligence

Bachelor in Clarinet

Conservatorio di Musica "Cesare Pollini", Padua, Italy

Music

Finalist

Cibersecurity National Laboratory

Finalist in Jeopardy and Capture the Flag competitions hosted by the Cibersecurity National Laboratory

Certificate of Appreciation

Leonardo Chiariglione - MPAI President

For outstanding contribution to the development of Conformance Testing Context-based Audio Enhancement (MPAI-CAE) standard

A novel derivative-based approach for the automatic detection of time-reversed audio in the MPAI/IEEE-CAE ARP international standard

Journal of the Audio Engineering Society

The article introduces a novel method based on envelope derivatives, aimed at detecting reverse audio segments in analog audio preservation, particularly for open-reel tapes. This method is designed to integrate with the MPAI Context-based Audio Enhancement (CAE) Audio Recording Preservation (ARP) standard. By employing derivative-based signal processing algorithms, the system automatically identifies and corrects reverse-recorded audio sections, improving accuracy and efficiency in large-scale archiving. Tests on a diverse dataset of musical genres and digitized tapes show the method's effectiveness across various audio content types.

Enhancing Preservation and Restoration of Open Reel Audio Tapes Through Computer Vision

Springer Nature Switzerland

The article presents a software application that utilizes computer vision techniques to detect irregularities on open-reel audio tapes during the digitization process, addressing the preservation challenges of aging analog audio documents. Developed at the Centro di Sonologia Computazionale (CSC) at the University of Padua, the software analyzes video recordings made during digitization to automatically identify potential tape damages, splices, and other anomalies. Using Generalized Hough Transform and SURF algorithms, it pinpoints regions of interest within the tape. This application, part of the MPAI/IEEE-CAE ARP standard, supports archivists and musicologists in preserving and analyzing open-reel audio archives.