Castelfidardo, Italy
Carlo Aironi, PhD
Machine Learning · Signal Processing · Deep Learning
Postdoctoral researcher at Università Politecnica delle Marche, Italy, focusing on deep learning for audio signal processing, including speech enhancement, packet loss concealment, music restoration, and clinical audio analysis for sleep apnea detection and dysarthria severity assessment. In parallel, my work extends to the application of machine learning techniques for predictive maintenance and operating condition recognition in industrial equipments.
Experience
Feb 2025 – present
Industry-funded Research Grant
Università Politecnica delle Marche – UNIVPM
- Machine learning for time-series forecasting and predictive analytics.
- Integrated system for predictive maintenance in access control systems.
- Operating condition recognition in industrial equipment and elevator systems.
Feb 2024 – Feb 2025
University-funded Research Grant
Università Politecnica delle Marche – UNIVPM
- Deep learning algorithms for audio signal quality enhancement.
- Noise and echo cancellation DSP algorithms deployed on embedded platforms.
Sept – Oct 2021
Training Tutor
FairConnect spa, Teramo
Designed and delivered a 25-hour course on Deep Learning and Neural Networks in Python, including hands-on exercises for participants of varying skill levels.
Feb 2016 – Apr 2017
Electronics Engineer Technical Collaborator
Bonifassi Accordeon – Logic System, Castelfidardo
Assembly supervision of digital MIDI and audio amplification systems; audio sampling of acoustic accordion reeds for custom wavetable creation; quality control.
Mar 2011 – Mar 2015
IT System Analyst
CoreSystem s.r.l., Castelfidardo
Installation and support of IT systems, wired/wireless networks, cybersecurity consulting, web development with e-commerce and SEO.
Sept 2007 – Feb 2009
Internship – Electronics
AITEC Electronics, Castelfidardo
Firmware design for microcontrollers; DSP systems; acquisition and actuation boards.
Academic activities
2020 – present
Teaching Assistant
M.Sc. "Digital Adaptive Circuits and Learning Systems" – UNIVPM
Lectures and material on Sound Event Classification, Audio Inpainting, Packet Loss Concealment, and Acoustic Echo Cancellation.
2020 – present
Exam Supervision
B.Sc. course "Electrical Engineering" – UNIVPM
Supervision of exam sessions; drafting exercises and providing official solutions.
2020 – present
M.Sc. Project & Thesis Supervision
UNIVPM
Tutoring of master's students during final projects and co-supervision of an M.Sc. thesis in Electronic Engineering.
2020 – present
Peer Reviewer
IEEE · EURASIP
IEEE Trans. Neural Networks & Learning Systems, IEEE Trans. Audio Speech & Language Processing, EURASIP Journal on Audio Speech & Music Processing, IEEE ICASSP, IEEE Signal Processing Letters, and others.
Achievements
🥇
1st place · 2025
Music Packet Loss Concealment Challenge
IEEE Internet of Sounds Symposium (IS²)
🥈
2nd place · 2024
Music Packet Loss Concealment Challenge
IEEE Internet of Sounds Symposium (IS²)
Selected publications
2026Real-Time Music Restoration through Linear Prediction and Generative Spectral Inpainting
IEEE WCCI – Maastricht, The Netherlands
2024Complex-bin2bin: A Latency-Flexible Generative Neural Model for Audio Packet Loss Concealment
IEEE/ACM Transactions on Audio, Speech, and Language Processing
2024A Graph-Based Neural Approach to Linear Sum Assignment Problems
International Journal of Neural Systems, Vol. 34, No. 3
2024SiCRNN: a Siamese Approach for Sleep Apnea Identification via Tracheal Microphone Signals
MDPI Sensors – Wearable Sensors and AI for Measuring Human Vital Signs
2023A Time-Frequency Generative Adversarial Based Method for Audio Packet Loss Concealment
EUSIPCO 2023 – Helsinki, Finland
2023A Score-aware Generative Approach for Music Signals Inpainting
IEEE Internet of Sounds Symposium – Pisa
2022Graph Node Embeddings for Ontology-aware Sound Event Classification
EUSIPCO 2022 – Belgrade, Serbia
2021Graph-based Representation of Audio Signals for Sound Event Classification
EUSIPCO 2021 – Dublin, Ireland
2020Heart Rate Detection with Accelerometric Sensors Under the Mattress
IEEE EMBC 2020 – Montreal, Canada
Education
Jun 2024
Ph.D. in Information Engineering
Università Politecnica delle Marche – UNIVPM
Advanced Deep Learning Techniques for Analysis and Reconstruction of Audio Signals
Advisor: Prof. Stefano Squartini
Advisor: Prof. Stefano Squartini
Jul 2020
M.Sc. in Electronic Engineering
Università Politecnica delle Marche – UNIVPM
Sound Event Classification using Graph Neural Networks
Feb 2010
B.Sc. in Electronic Engineering
Università Politecnica delle Marche – UNIVPM
Design of an RFID-based Monitoring System for Automotive Applications
Skills & tools
Machine Learning
Signal Processing
Software & Systems
Cloud & Other