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General Information
| Full Name | Daniele Ugo Leonzio |
| Date of Birth | 30th August 1997 |
| Languages | English, Italian |
Education
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2021-2025 PhD in Information Technology
Politecnico di Milano, Milan, Italy - Research fields: Anomaly detection, Deep Learning, Multimedia Signal Processing
- Thesis title: Data Driven Techniques for Leak Detection in Water Distribution Networks
- Developed novel data-driven approaches for leak detection and localization in water distribution networks
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2019-2021 MSc in Music and Acoustic Engineering
Politecnico di Milano, Milan, Italy - Coursework: Multimedia Signal Processing, Machine Learning, Deep Learning, Sound Analysis Synthesis and Processing
- GPA: 28.9/30, 110/110 cum laude
- Thesis title: Audio splicing detection and localization based on recording device cues.
- Developed a novel approach for audio splicing detection and localization.
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2016-2019 BSc in Electronic Engineering
Politecnico di Milano, Milan, Italy - Coursework: Circuit Theory, Analog and Digital Electronics
Experience
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2022 - 2025 Professor
CPM Music Institute, Milan, Italy - Teaching Electronics classes for Pro Audio Engineering course.
- The course covers the fundamentals of electro-magnetism and electroacoustic, passive/active components, audio circuit design.
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2024 - now Teaching Assistant
Politecnico di Milano, Milan, Italy - Teaching assistant for the course of "Lab Experience" course in the M.Sc Telecommunication Engineering.
- Development of a Forensic tool to analyze JPEG compressed images.
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2024 Internship
Onyax S.r.l., Vigevano, Italy - Development of Deep Learning algorithms for anomaly detection in water and gas pipelines.
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2023 - Now Scientific Investigator
Politecnico di Milano, Milan, Italy - Scientific Investigator for projects between Politecnico di Milano and national and international companies.
- Projects
- Low frequency extrapolation in seismic data, project with Eni S.p.A. Development of a Transformer based algorithm in order to extrapolate the missing low frequencies in the shot-gathers data.
- HPMA, project funded by Netherlands Ministry of Defence, collaboration with TNO. Development of a Machine Learning algorithm for detecting arrhythmic heartbeats in pilots operating under high G-force conditions.
Skills
| Programming Languages | Python, C, C++, Matlab, |
| Frameworks | Scikit-learn, TensorFlow, Keras, PyTorch, Pandas |
| Cloud/Tech Stack | AWS, Docker |
| Languages | English, Italian |