Fabio Hirono is a research engineer with a PhD in Acoustical Engineering and a decade of experience applying analytical models, experiments and numerical simulation to aeroacoustics and spatial audio problems. He has worked on tone and broadband noise prediction for electric ducted fans using PSU-WOPWOP, designed anechoic and wind-tunnel test methodologies, and developed Python tooling to automate prediction workflows. Fabio pairs hands-on expertise in microphone and loudspeaker array design, beamforming and deconvolution with practical electronics skills in transducer acquisition and amplifier design. Comfortable coding in Python, MATLAB and C++, he has delivered real-time C++ beamformers and production-oriented scientific software. Equally at home explaining acoustics to technical peers, students and the public, he brings multidisciplinary collaboration and pedagogy to applied research in industry and academia. An attention to combining physical insight with robust experimental validation differentiates his approach to solving noisy, real-world engineering problems.
10 years of coding experience
Doctor of Philosophy (PhD), Acoustical Engineering, Doctor of Philosophy (PhD), Acoustical Engineering at University of Southampton
MoSQITo is a unified and modular development framework of key sound quality metrics favoring reproducible science and efficient shared scripting among engineers, teachers and researchers community.
Contributions:2 PRs, 118 pushes, 5 branches in 3 months
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