Computational electromagnetics · HPC · GPU

Scientific computing / high-performance numerical software

I build production electromagnetic solvers used by engineers worldwide. 15+ years turning complex physics into fast, reliable software — from GPU-accelerated algorithms to commercial simulation tools shipping in products like Simcenter Feko.

15+
Years in industry
30+
Publications
Ph.D.
Politecnico di Torino
Elia A. Attardo, Ph.D.
01

About

I build the algorithms that make electromagnetic simulations fast enough to be useful. My work sits at the intersection of applied mathematics, physics, and high-performance computing.

Currently at Siemens Digital Industries Software, I develop GPU-accelerated electromagnetic solvers for Simcenter Feko — combining deep expertise in computational electromagnetics with modern AI-augmented development practices. Previously, I spent over a decade at Altair Engineering contributing to Feko's solver technology.

My research background spans biomedical microwave imaging at Dartmouth College and Polytechnic University of Turin, where I developed real-time imaging algorithms accelerated on multi-GPU systems for clinical applications including breast cancer detection and surgical guidance.

02

Areas of Expertise

2.1

High-Performance Computing

GPU acceleration with CUDA, multi-GPU systems, parallel algorithms, and deep performance optimization for scientific workloads.

CUDA · OpenCL · MPI · OpenMP · NVIDIA Nsight
2.2

Scientific Computing

Finite Element Methods, computational electromagnetics, inverse problems, and numerical linear algebra for large-scale simulations.

FEM · BEM · FDTD · MoM · Spectral Methods
2.3

Algorithm Development

Sparse and dense matrix solvers, preconditioners, domain decomposition methods, and iterative solver technology.

Intel MKL · cuBLAS · cuSPARSE · PETSc · LAPACK
2.4

Mathematical Modeling

PDEs, integral equations, optimization methods, inverse scattering, and medical imaging reconstruction algorithms.

Helmholtz · Laplace · Maxwell · Tikhonov
2.5

Software Engineering

Production-grade C++ and CUDA for commercial simulation software, with modern development practices and CI/CD pipelines.

C++ · CUDA C/C++ · Python · Fortran · CMake
2.6

AI / Deep Learning

LLM-assisted development, investigating AI/ML applications in computational electromagnetics workflows and solver acceleration.

NVIDIA DL · Neural Nets · LLM-augmented dev
03

Experience

  1. January 2026 — PresentGermany

    Software Engineer — Advanced · Siemens Digital Industries Software

    Developing high-performance electromagnetic simulation algorithms for Simcenter Feko within the Siemens Xcelerator ecosystem. GPU-accelerated solvers, numerical methods development (MoM, FEM, FDTD), and AI/ML integration into CEM workflows.

    CUDAC++ ModernizationLLM-Assisted Dev
  2. July 2014 — December 2025Germany

    Senior Developer — Electromagnetic Solutions · Altair Engineering GmbH

    Developed high-performance algorithms for Altair Feko, a leading computational electromagnetic software used globally for antenna design, EMC analysis, and RCS computation.

    20× GPU ray tracing speedup 15× preconditioner acceleration 10× time-domain speedup DG for Integral Equations Metamaterial modeling
  3. July 2013 — June 2014Turin, Italy

    Postdoctoral Research Fellow · Polytechnic University of Turin

    GPU-accelerated algorithms for computational EM in biomedical and industrial contexts. Implemented fast solvers integrated into the MICENEA project for real-time medical imaging.

  4. January 2011 — June 2014Turin, Italy

    Researcher · Istituto Superiore Mario Boella

    Design and simulation of RF devices and antennas in complex media. Lead computational researcher on the RADIODRY industrial project.

  5. January 2011 — December 2013Boston, MA, USA

    Early Member — Computational Scientist · NE Scientific LLC

    Developed GPU-accelerated sparse linear solver for medical imaging. Achieved 8× speedup vs. Intel PARDISO MKL on sequential core for real-time image reconstruction.

    8× vs PARDISO
  6. January 2011 — August 2011Hanover, NH, USA

    Research Assistant — HPC · Thayer School of Engineering, Dartmouth College

    Developed HPC algorithms for multi-modal image guidance system (NIH Grant). Achieved 20× acceleration using multi-GPU systems for real-time prostate biopsy guidance.

    20× multi-GPU accelerationNIH Grant
04

Selected Publications

Full list: 30+ peer-reviewed publications ↗
05

Education

Ph.D. · 2008 — 2011

Electronics & Communications Engineering

Polytechnic University of Turin, Italy

Computational Methods for Microwave Imaging — Biomedical Applications
GPU-accelerated algorithms, inverse scattering, HPC

M.Sc. · 2005 — 2007

Biomedical Engineering

Polytechnic University of Turin, Italy

Microwave Tomography for Breast Cancer Detection
Computational modeling, signal processing

B.Sc. · 2001 — 2004

Software Engineering

University of Palermo, Italy

Noise Reduction in Magnetic Resonance Imaging
Algorithm development, image processing

06

Technical Skills

GPU & Parallel Computing

CUDAC++ OpenCLMPIOpenMP Multi-threadingNVIDIA Nsight Intel VTuneHPC ClustersPBS

Numerical Methods

FEMBEM FDTDMoMSpectral Methods Iterative SolversPreconditioningSparse/Dense Solvers

Libraries & Frameworks

Intel MKLcuBLAS cuSPARSEcuSolvercuDSS LAPACKPETSc

Languages & Tools

C++CUDA C/C++ PythonFortranMATLAB MathematicaGitCMakeCI/CD