Giulia Aguzzi

Giulia Aguzzi

Doctoral Researcher

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location of Giulia AguzziZurich, Zurich, Switzerland

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  • Timeline

  • About me

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

  • Education

    • ETH Zürich

      2017 - 2018
      Master Thesis Abroad (6 months) Structural Dynamics

      Dissertation: "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 - 2015
      Bachelor's Degree Civil and Environmental Engineering 108/110

      Dissertation: ”Design of Hydroelectric Power Plant: Environmental Impact Assessment”

    • Bauhaus-Universität Weimar

      2017 - 2017
      Semester Abroad (5 months) Natural Hazard and Risks in Structural Engineering

      Among 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 - 2018
      Master's Degree Civil Engineering 110/110 cum Laude
    • ETH Zürich

      2018 - 2022
      Doctor of Philosophy - PhD Structural Mechanics

      Dissertation: "Architected metastructures for elastic wave control"

  • Experience

    • ETH Zürich

      Jun 2018 - Oct 2022
      Doctoral 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 - now
      • Data Science Intern

        Oct 2022 - Dec 2022
  • Licenses & Certifications

    • Software Engineering for Data Scientists in Python

      DataCamp
      Apr 2023
    • Machine Learning

      Stanford Online
      May 2021
      View certificate certificate
    • Machine Learning Specialization

      DeepLearning.AI
      May 2023
      View certificate certificate
    • Introduction to Git and GitHub

      Google
      Feb 2023
      View certificate certificate
    • IELTS 7.0 - Academic

      British Council
      Jul 2016