
Giulia Aguzzi
Doctoral Researcher

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About me
Data Scientist @ Kistler | PhD in Structural Mechanics @ ETH Zürich | Engineer
Education

ETH Zürich
2017 - 2018Master Thesis Abroad (6 months) Structural DynamicsDissertation: "Investigation of Layered Metafoundations for Seismic Waves Attenuation".• Implemented the Plane Wave Expansion Method (PWE) to solve the 1D wave equation in a periodic medium. • Optimized the system performance via a multi-objective genetic algorithm.

University of Ferrara
2011 - 2015Bachelor's Degree Civil and Environmental Engineering 108/110Dissertation: ”Design of Hydroelectric Power Plant: Environmental Impact Assessment”

Bauhaus-Universität Weimar
2017 - 2017Semester Abroad (5 months) Natural Hazard and Risks in Structural EngineeringAmong the 12 students selected for the course Experimental Structural Dynamics and Building Monitoring.• Developed a Finite Element-based numerical model of an aluminum plate. • Performed the dynamic testing of the physical plate prototype: designed the experimental setup and processed the collected data using the peak-picking method, logarithmic decrement method, and Modal Assurance Criterion.

University of Bologna
2015 - 2018Master's Degree Civil Engineering 110/110 cum Laude
ETH Zürich
2018 - 2022Doctor of Philosophy - PhD Structural MechanicsDissertation: "Architected metastructures for elastic wave control"
Experience

ETH Zürich
Jun 2018 - Oct 2022Doctoral Researcher• Numerically and experimentally engineered lattice structures (metamaterials) able to control elastic waves and reduce vibration transmission up to 90dB across different scales (Hz to kHz)• Numerically simulated wave propagation and their interaction with the designed structures via Finite Element software, running serial and parallel simulations on High-Performance Computing systems• Developed MATLAB and Python codes for extraction, pre, and post-processing of time series data (>100GB) using standard signal processing techniques • Presented at international conferences • Authored 6 publications in peer-reviewed journals and conference papers• Supervised master project Show less

Kistler Group
Oct 2022 - now• Developed machine learning and signal processing algorithms for time series data from various sensors in proof-of-concept projects • Responsible for data pipeline and model evaluation of innovation projects, ensuring effective model performance and generalizability
Data Scientist
Jan 2023 - nowData Science Intern
Oct 2022 - Dec 2022
Licenses & Certifications

Software Engineering for Data Scientists in Python
DataCampApr 2023- View certificate

Machine Learning
Stanford OnlineMay 2021 - View certificate

Machine Learning Specialization
DeepLearning.AIMay 2023 - View certificate

Introduction to Git and GitHub
GoogleFeb 2023 
IELTS 7.0 - Academic
British CouncilJul 2016
Languages
- itItaliano
- enEnglish
- deDeutsch
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