resume

Basics

Name Damiano Franzò
Label Postdoctoral fellow
Email damiano.franzo@polito.it
Url https://damianofranzo.github.io/
Summary Postdoctoral researcher actively engaged in computational electromagnetics at Politecnico di Torino. Conducting research activity to explore both theoretical and numerical aspects, with a particular emphasis on high-order and fast methods for the method of moments.

Work

  • 2024.03 - Present

    Turin, Italy

    Postdoctoral fellow
    Politecnico di Torino
    Conducting research on novel computational electromagnetics numerical methods, focusing on fast, preconditioned, and high-order methods for integral equations.
    • Supervising interns and providing assistance to PhD students.
    • Contributing to the maintenance and management of servers utilized for computer simulations.
  • 2020.04 - 2024.03

    Turin, Italy

    Ph.D. Student
    Politecnico di Torino
    Dissertation title: High Order Technologies in Boundary Element Methods: Analyses, Algorithms, Applications
  • 2019.07 - 2019.12

    Vélizy-Villacoublay,France

    Research intern
    Dassault Systemes
    Internship to explore the application of reinforcement learning for manufacturing applications.
    • Implemented a data-driven controller based on reinforcement learning for robotic bin-picking within the PyBullet simulator.

Volunteer

  • 2017 - 2018

    Turin, Italy

    Head of HR
    IEEE Eta Kappa Nu
    • Performed 50+ interviews during recruiting sessions
    • Organized events >10 team building among members.

Education

  • 2020 - 2024

    Turin, Italy

    PhD
    Politecnico di Torino
    Dissertation title: High Order Technologies in Boundary Element Methods: Analyses, Algorithms, Applications
  • 2017 - 2020

    Paris, France

    MSc degree in Data Science and Engineering
    Télécom Paris
    Prominent Coursework: Machine Learning, Statistics, Optimization, Database, Deep learning and related topics.
  • 2017 - 2020

    Turin, Italy

    MSc degree in Computer Engineering
    Politecnico di Torino
    Prominent Coursework: Machine learning, Computer architectures, Database, System programming, Software Engineering and related topics.
  • 2014 - 2017

    Turin, Italy

    BSc degree in Computer Engineering
    Politecnico di Torino
    Prominent Coursework: Algorithms, Signal processing, OOP, Maths and Electronics.

Awards

Skills

Programming language
C++
Matlab
Python
Julia
Libraries and Framework
Eigen (Linear algebra)
AMGCL (Algebraic Multigrid)
PETSc (Portable, Extensible Toolkit for Scientific Computation)
NumPy (Python numerical computing)
TensorFlow
PyTorch
Gmsh (Mesh generator)
Boost (C++ libraries)
Software tools
Git (Version control)
Linux/Unix (Operating system proficiency)
Bash scripting
Debuggers (gdb, etc.)
Profilers (Valgrind, etc.)
Build Systems (CMake, Make)
Domain specific knowledge
Computational electromagnetics
Integral equations
Electromagnetic theory

Languages

Italian
Native speaker
English
Fluent
French
Intermediate

Projects

  • 2021 - 2021
    open321
    Developed an open source library providing efficient tools to stabilize and manipulate discrete electromagnetic integral equations
    • Providing low and very low frequency regularization techniques relying on quasi-Helmholtz projectors
    • Compatible with fast iterative and fast direct methods.
    • Based on Eigen and AMGCL

Interests

Computational Electromagnetics
Integral equations
High-order discretization
Fast methods
Precondioning methods
Parallel computing
Distributed systems
Parallel numerical algorithms
GPU Programming