Enrico Dalla Mora

M.Sc. Acoustic & Signal Processing Engineer specializing in NVH, Vibroacoustics, and Experimental Testing.

With a background at Siemens Digital Industries Software (Leuven), I focus on bridging the gap between experimental campaigns and numerical modeling. I have a proven track record in developing FE-SEA hybrid pipelines and conducting high-precision NVH testing using Simcenter Testlab and Matlab.

My expertise combines classical vibroacoustics with modern Digital Signal Processing, allowing for a comprehensive approach to sound characterization and acoustic performance optimization.

Research Intern | Siemens Digital Industries Software (Leuven):

-Specialized in high-frequency vibroacoustics and FE-SEA modeling for automotive cabin noise.

-Extensive use of Simcenter Testlab for high-precision acoustic measurements and model validation (achieving <3dB error).

-Developed advanced signal processing pipelines in Matlab, focusing on airborne noise characterization

M.Sc. in Music and Acoustic Engineering | Politecnico di Milano:

-In-depth focus on Vibroacoustics, Electroacoustics and Digital Signal Processing (DSP).

• Developed deep learning models for sound classification (PyTorch) and DSP-informed data augmentation, demonstrating a strong command of modern audio technologies beyond traditional hardware.

Technical Skills Crossover

Expertise in FEM/SEA analysis, FFT, NVH Testing and spectral characterization.

Strong programming background (Python, Matlab) applied to acoustic problems.

Music and Acoustic Engineering - M.Sc. - Politecnico di Milano - grade (110/110)

Energy Engineering - B.Sc. - University of Padua