CV

Contact Information

Name Ivan Brillo
Professional Title Computer Engineer / AI & Data Engineering Student
Email brilloivan2@gmail.com

Professional Summary

MSc student in Artificial Intelligence and Data Engineering with research experience in deep learning, medical image analysis, and embedded systems.

Experience

  • 2026 - 2026

    Montréal, Canada

    Visiting Student (Department of Electrical Engineering)
    École Polytechnique de Montréal
    Awarded fully-funded Mitacs scholarship to develop CNN surrogates for replacing computationally expensive Gaussian Process updates in neurostimulation methods. Supervisor M. Bonizzato.
  • 2025 - present

    Pisa, Italy

    Student Researcher (Department of Information Engineering)
    University of Pisa and Research Center "E. Piaggio"
    Framing R-peak prediction from EEG as a segmentation problem via distance-to-peak estimation, evaluating multi-scale CNNs and autoregressive models with a focus on domain generalization. Supervisor M. Cimino.
  • 2025 - 2026

    Pisa, Italy

    Student Researcher (TeCIP Institute)
    Sant'Anna School and Monasterio Foundation
    Cardiac amyloidosis classification from ECGs using Transformers, with interpretability via Grad-CAM and Attention Rollout (manuscript under review). Supervisor C.A. Avizzano.
  • 2025 - 2025

    Pisa, Italy

    Student Researcher (BioRobotics and TeCIP Institutes)
    Sant'Anna School of Advanced Studies
    • Explainable classification of tumor-mimicking materials from force/position data (Supervisor C.M. Oddo).
    • Efficient federated learning via dynamic training-precision adjustment (Supervisor E. Paolini).
  • 2023 - 2024

    Padua, Italy

    Internship and Bachelor Thesis
    RFX Consortium and CNR
    Investigated autoencoders and VAEs for temporal analysis of plant stress responses after irrigation with plasma-activated water (PAW). Supervisor V. Antoni.
  • 2024 - 2024

    Padua, Italy

    Computer Engineer - Part Time (24h/week)
    UP caeli via
    Software integration for drones (QGC and ArduPilot) using C++ and Qt/QML (GeoFencing, RTK and RTSP).
  • 2022 - 2024

    Padua, Italy

    Embedded Software Developer (+10h/week)
    Formula SAE Team Project
    Member of a 50-person university racing team, developing embedded systems (ATmega32/64, TI F2837, Arduino) and C control algorithms for power management, torque vectoring, and regenerative braking.

Education

  • 2024 - present

    Pisa, Italy

    MSc
    University of Pisa
    Artificial Intelligence and Data Engineering
  • 2024 - present

    Pisa, Italy

    Master of Advanced Studies
    Sant'Anna School of Advanced Studies
    Robotics
    • Awarded 2-Year Merit Full Scholarship (top 2% of applicants).
  • 2024 - 2024

    Budapest, Hungary

    Seasonal School
    Budapest University of Technology and Economics
    Challenge-based human-inspired computer vision
  • 2021 - 2024

    Padua, Italy

    BSc
    University of Padua
    Computer Engineering
    • DECAMP Course in Applied Web Application Security (Metropolia UAS, Finland).
  • 2016 - 2021

    Este, Italy

    High School Diploma
    Scientific High School G.B. Ferrari
    Applied Sciences

Awards

  • 2024
    "Mille e una Lode" Merit Awards
    University of Padua

    Scholarships awarded to the top 3% of students, received in 2022, 2023, and 2024.

  • 2024
    INPS Scholarships
    Italian National Institute of Social Security

    National scholarships in recognition of academic excellence, received annually 2018-2024.

  • 2021
    National Bronze Medal, Physics Olympiad
    Association for Teaching Physics
  • 2020
    National First Place, Chemistry Olympiad
    Italian Chemistry Society
  • 2019
    National Bronze Medal, EUSO
    European Olympiad of Experimental Science

Memberships

LeadTheFuture — Mentee (2025–present): Selective STEM mentorship program, acceptance rate < 15%.
ISSNAF — Mentee (2025–present): Selective mentorship for research opportunities in the US.

Skills

Programming Languages & Software (Advanced): C++, C, Qt/QML, Arduino, ATmega32/64, TI F2837, QGC, ArduPilot
Artificial Intelligence & Machine Learning (Advanced): Deep Learning, CNNs, Transformers, Autoencoders, VAEs, Federated Learning, Grad-CAM, Autoregressive Models

Languages

Italian : Native
English : C1 (TOEFL IBT 104/120)